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Publications

2019 Scientific Publications [354]

Attitude Observation for Second Order Attitude Kinematics

Ng, Y., Van Goor, P., Mahony, R., & Hamel, T. (2019). Attitude Observation for Second Order Attitude Kinematics. Proceedings of the IEEE Conference on Decision and Control, 2019-December, 2536–2542. https://doi.org/10.1109/CDC40024.2019.9029785

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A novel passivity-based trajectory tracking control for conservative mechanical systems

Mahony, R. (2019). A novel passivity-based trajectory tracking control for conservative mechanical systems. Proceedings of the IEEE Conference on Decision and Control, 2019-December, 4259–4266. https://doi.org/10.1109/CDC40024.2019.9029222

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Counting Objects by Blockwise Classification

Liu, L., Lu, H., Xiong, H., Xian, K., Cao, Z., & Shen, C. (2019). Counting Objects by Blockwise Classification. IEEE Transactions on Circuits and Systems for Video Technology, 1–1. https://doi.org/10.1109/tcsvt.2019.2942970

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Automatic deep learning based quality assessment of transperineal ultrasound guided prostate radiotherapy

Camps, S.M., Houben, T., Carneiro, G., Edwards, C., Antico, M., Dunnhofer, M., Martens, E.G.H.J., Baeza, J.A., Vanneste, B.G.L., van Limbergen, E.J., de With, P.H.N., Verhaegen, F., & Fontanarosa, D. (2019) Automatic deep learning based quality assessment of transperineal ultrasound guided prostate radiotherapy. In ASMIRT / AACRT 2019 Conference, 28-31 March 2019, Adelaide, S.A

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Spectral-GANs for High-Resolution 3D Point-cloud Generation

Ramasinghe, S., Khan, S., Barnes, N., & Gould, S. (2019). Spectral-GANs for High-Resolution 3D Point-cloud Generation. Retrieved from http://arxiv.org/abs/1912.01800

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MTRNet: A Generic Scene Text Eraser

Tursun, O., Zeng, R., Denman, S., Sivapalan, S., Sridharan, S., & Fookes, C. (2019). MTRNet: A Generic Scene Text Eraser. Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, 39–44. https://doi.org/10.1109/ICDAR.2019.00016

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Adversarial discriminative sim-to-real transfer of visuo-motor policies

Zhang, F., Leitner, J., Ge, Z., Milford, M., & Corke, P. (2019). Adversarial discriminative sim-to-real transfer of visuo-motor policies. The International Journal of Robotics Research, 38(10–11), 1229–1245. https://doi.org/10.1177/0278364919870227

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Multi-Modal Generative Models for Learning Epistemic Active Sensing

Korthals, T., Rudolph, D., Leitner, J., Hesse, M., & Ruckert, U. (2019). Multi-modal generative models for learning epistemic active sensing. Proceedings - IEEE International Conference on Robotics and Automation, 2019-May, 3319–3325. https://doi.org/10.1109/ICRA.2019.8794458

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On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints

Teney, D., Abbasnejad, E., & Hengel, A. van den. (2019). On Incorporating Semantic Prior Knowledge in Deep Learning Through Embedding-Space Constraints. Retrieved from http://arxiv.org/abs/1909.13471

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High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare)

Ward, B., Brien, C., Oakey, H., Pearson, A., Negrão, S., Schilling, R. K., … van den Hengel, A. (2019). High-throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). Plant Journal, 98(3), 555–570. https://doi.org/10.1111/tpj.14225

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What’s to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions

Abbasnejad, E., Wu, Q., Shi, Q., & Van Den Hengel, A. (2019). What’s to know? uncertainty as a guide to asking goal-oriented questions. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2019-June, 4150–4159.

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Deep Clustering With Sample-Assignment Invariance Prior

Peng, X., Zhu, H., Feng, J., Shen, C., Zhang, H., & Zhou, J. T. (2019). Deep Clustering With Sample-Assignment Invariance Prior. IEEE Transactions on Neural Networks and Learning Systems, 1–12. https://doi.org/10.1109/tnnls.2019.2958324

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Accurate Tensor Completion via Adaptive Low-Rank Representation

Zhang, L., Wei, W., Shi, Q., Shen, C., van den Hengel, A., & Zhang, Y. (2019). Accurate Tensor Completion via Adaptive Low-Rank Representation. IEEE Transactions on Neural Networks and Learning Systems, 1–15. https://doi.org/10.1109/tnnls.2019.2952427

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Deep Weakly-supervised Anomaly Detection

Pang, G., Shen, C., Jin, H., & Hengel, A. van den. (2019). Deep Weakly-supervised Anomaly Detection. Retrieved from http://arxiv.org/abs/1910.13601

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Index Network

Lu, H., Dai, Y., Shen, C., & Xu, S. (2019). Index Network. Retrieved from http://arxiv.org/abs/1908.09895

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Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification

Zhang, X., Cao, J., Shen, C., & You, M. (2019). Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification *.

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Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation

Shen, T., Gong, D., Zhang, W., Shen, C., & Mei, T. (2019). Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation. Retrieved from http://arxiv.org/abs/1907.12282

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NAS-FCOS: Fast Neural Architecture Search for Object Detection

Wang, N., Gao, Y., Chen, H., Wang, P., Tian, Z., Shen, C., & Zhang, Y. (2019). NAS-FCOS: Fast Neural Architecture Search for Object Detection. Retrieved from http://arxiv.org/abs/1906.04423

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A Simple and Strong Convolutional-Attention Network for Irregular Text Recognition

Yang, L., Wang, P., Li, H., Gao, Y., Zhang, L., Shen, C., & Zhang, Y. (2019). A Simple and Strong Convolutional-Attention Network for Irregular Text Recognition. Retrieved from http://arxiv.org/abs/1904.01375

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Unsupervised object discovery and co-localization by deep descriptor transformation

Wei, X. S., Zhang, C. L., Wu, J., Shen, C., & Zhou, Z. H. (2019). Unsupervised object discovery and co-localization by deep descriptor transformation. Pattern Recognition, 88, 113–126. https://doi.org/10.1016/j.patcog.2018.10.022

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A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

Xie, Y., Zhang, J., Xia, Y., & Shen, C. (2019). A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. IEEE Transactions on Medical Imaging, 1–1. Retrieved from http://arxiv.org/abs/1903.03313

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Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval

Zhao, Y., Shen, C., Wang, H., & Chen, S. (2020). Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval. IEEE Transactions on Intelligent Transportation Systems, 21(2), 723–734. https://doi.org/10.1109/TITS.2019.2896273

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Real-time Tracker with Fast Recovery from Target Loss

Bay, A., Sidiropoulos, P., Vazquez, E., & Sasdelli, M. (2019). Real-time Tracker with Fast Recovery from Target Loss. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May, 1932–1936. https://doi.org/10.1109/ICASSP.2019.8682171

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VizieR Online Data Catalog: TESS planet candidates classification (Osborn+, 2020)

Osborn, H. P., Ansdell, M., Ioannou, Y., Sasdelli, M., Angerhausen, D., Caldwell, D. A., Jenkins, J. M., Raissi, C., & Smith, J. C. (2019). VizieR Online Data Catalog: TESS planet candidates classification (Osborn+, 2020). YCat, J/A+A/633/A53.

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Depth Based Semantic Scene Completion With Position Importance Aware Loss

Li, J., Liu, Y., Yuan, X., Zhao, C., Siegwart, R., Reid, I., & Cadena, C. (2020). Depth Based Semantic Scene Completion with Position Importance Aware Loss. IEEE Robotics and Automation Letters, 5(1), 219–226. https://doi.org/10.1109/LRA.2019.2953639

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Measurement of the average very forward energy as a function of the track multiplicity at central pseudorapidities in proton-proton collisions at s√=13TeV

Sirunyan, A.M., Tumasyan, A., Adam, W., Ambrogi, F., Bergauer, T., Brandstetter, J., Dragicevic, M., Erö, J., Escalante Del Valle, A., Flechl, M., Frühwirth, R., Jeitler, M., Krammer, N., Krätschmer, I., Liko, D., Madlener, T., Mikulec, I., Rad, N., Schieck, J., Schöfbeck, R., Spanring, M., Spitzbart, D., Waltenberger, W., Wittmann, J., Wulz, C.-E., Zarucki, M., Drugakov, V., Mossolov, V., Suarez Gonzalez, J., Darwish, M. R., De Wolf, E. A., Di Croce, D., Janssen, X., Lauwers, J., Lelek, A., Pieters, M., Van Haevermaet, H., Van Mechelen, P., Van Remortel, N., Blekman, F., Chhibra, S. S., D'Hondt, J., De Clercq, J., Glouris, G., Lontkovskyi, D., Lowette, S., Marchesini, I., Moortgat, S., Moreels, L., Python, Q., Skovpen, K., Tavernier, S., Van Doninck, W., Van Mulders, P., Van Parijs, I., Beghin, D., Bilin, B., Brun, H., Clerbaux, B., De Lentdecker, G., Delannoy, H., Dorney, B., Favart, L., Grebenyuk A., Kalsi, A. K., Luetic, J., Popov, A., Postiau, N., Starling, E., Thomas, L., Vander Velde, C., Vanlaer, P., Vannerom, D., Wang, Q., Cornelis, T., Dobur, D., Fagot, A., Gul, M., Khvastunov, I., Roskas, C., Trocino, D., Tytgat, M., Verbeke, W., Vermassen, B., Vit, MZaganidis, N., Bondu, O., Bruno, G., Caputo, C., David, P., Delaere, C., Delcourt, M., Giammanco, A., Vischia, P., Zobec, J., Alves, F. L., Alves, G. A., Correia Silva, G., Hansel, C., Moraes, A., Rebello Teles, P., Belchior Batista Das Chagas, E., Carvalho, W., Chinellato, J., Coelho, E., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., De Oliveira Martins, C., Fonseca De Souza, S., Huertas Guativa, L. M., Malbouisson, H., Matos Figueiredo, D., Medina Jaime, M., Melo De Almeida, M., Mora Herrera, C., Mundim, L., Nogima, H., Prado Da Silva, W. L., Sanchez Rosas, L. J., Santoro, A., Sznajder, A., Thiel, M., Tonelli Manganote, E. J., Torres Da Silva De Araujo, F., Vilela Pereira, A., Ahuja, S., Bernardes, C. A., Calligaris, L., De Souza Lemos, D., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Padula, S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Laydjiev, P., Marinov, A., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Fang, W., Gao, X., Yuan, L., Ahmad, M., Chen, G. M., Chen, H. S., Chen, M., Jiang, C. H., Leggat, D., Liao, H., Liu, Z., Shaheen, S. M., Spiezia, A., Tao, J., Yazgan, E., Zhang, H., Zhang, S., Zhao, J., Agapitos, A., Ban, Y., Chen, G., Levin, A., Li, J., Li, L., Li, Q., Mao, Y., Qian, S. J., Wang, D., Wang, Y., Avila, C., Cabrera, A., Chaparro Sierra, L. F., Florez, C., González Hernández, C. F., Segura Delgado, M. A., Ruiz Alvarez, J. D., Giljanović,D., Godinovic, N., Lelas, D., Puljak, I., Sculac, T., Antunovic, Z., Kovac, M., Brigljevic, V., Ferencek, D., Kadija, K., Mesic, B., Roguljic, M., Starodumov, A., Susa, T., Ather, M. W., Attikis, A., Erodotou, E., Ioannou, A., Kolosova, M., Konstantinou, S., Mavromanolakis, G., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Tsiakkouris, D., Finger, M., Finger Jr, M., Ayala, E., Carrera Jarrin, E., Mahmoud, M. A., Mahammad, Y., Bhowmik, S., Carvalho Antunes De Oliveira, A., Dewanjee, R. K., Ehataht, K., Kadastik, M., Raidal, M., Veelken, C., Eerola, P., Kirschenmann, H., Osterberg, K., Pekkanen, J., Voutilainen, M., Garcia, F., Havukainen, J., Heikkilä, J. K., Järvinen, J., Karimäki, V., Kinnunen, R., Lampén, T., Lassila-Perini, K., Laurila, S., Lehti, S., Lindén, T., Luukka, P., Mäenpää, T., Siikonen, H., Tuominen, E., Tuominiemi, J., Tuuva, T., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Fabbro, B., Faure, J. L., Ferri, F., Ganjour, S., Givernaud, A., Gras, P., Hamel de Monchenault, G., Jarry, P., Leloup, C., Locci, E., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Titov, M., Amendola, C., Beaudette, F., Busson, P., Charlot, C., Diab, B., Granier de Cassagnac, R., Kucher, I., Lobanov, A., Martin Perez, C., Nguyen, M., Ochando, C., Paganini, P., Rembser, J., Salerno, R., Sauvan, J. B., Sirois, Y., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Bloch, D., Bourgatte, G., Brom, J.-M., Chabert, E. C., Collard, C., Conte, E., Fontaine, J.-C., Gelé, D., Goerlach, U., Jansová,M., Le Bihan, A.-C., Tonon, N. Van Hove, P., Gadrat, S., Beauceron, S., Bernet, C., Boudoul, G., Camen, C., Chanon, N., Chierici, R., Contardo, D., Depasse, P., El Mamouni, H., Fay, J., Gascon, S., Gouzavitch, M., Ille, B., Jain, Sa., Lagarde, F., Laktineh, I. B., Lattaud, H., Lethuillier, M., Mirabito, L., Perriees, S., Sordini, V., Touquet, G., Vander Donckt, M., Viret, S., Khvedelidze, A., Tsamalaidze, Z., Autermann, C., Feld, L., Kiesel, M. K., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Preuten, M., Rauch, M. P., Schomakers, C., Schulz, J., Teroerde, M., Wittmer, B., Albert, A., Erdmann, M., Erdweg, S., Esch, T., Fischer, B., Fischer, R., Shosh, S., Hebbeker, T., Hoepfner, K., Keller, H., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Millet, P., Mocellin, G., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Pook, T., Pozdnyakov, A., Quast, T., Radziej, M., Rath, Y., Reithler, H., Rieger, M., Schmidt, A., Schuler, S. C., Sharma, A., Thüer, S., Wiedenbeck, S., Flügge, G., Hlushchenko, O, Kress, T., Müller, T., Nehrkorn, A., Nowack, A., Pistone, C., Pooth, O., Roy, D., Sert, H., Stahl, A., Aldaya Martin, M., Asawatangatrakuldee, C., Asmuss, P., Babounikau, I., Bakhshiansohi, H., Beernaert, K., Behnke, O., Behrens, U., Bermúdez Martínez, A., Bertsche, D., Bin Anuar, A. A., Borras, K., Botta, V., Campbell, A., Cardini, A., Connor, P., Consuegra Rodríguez, S., Contreras-Campana, C., Danilov, V., De Wit, A., Defranchis, M. M., Diez Pardos, C., Domínguez Damiani, D., Eckerlin, G., Eckstein, D., Eichhorn, T., Elwood, A., Eren, E., Gallo, E., Geiser, A., Grados Luyando, J. M., Grohsjean, A., Guthoff, M., Haranko, M., Harb, A., Jomhari, N. Z., Jung, H., Kasem, A., Kasemann, M., Keaveney, J., Kleinwort, C., Knolle, J., Krücker, D., Lange, W., Lenz, T., Leonard, J., Lidrych, J., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Meyer, A. B., Meyer, M., Missiroli, M., Mittag, G., Mnich, G., Mcich, J., Mussgiller, A., Myronenko, V., Pérez Adán, D., Pflitsch, S. K., Pitzl, D., Raspereza, A., Saibel, A., Savitskyi, M., Scheurer, V., Schütze, P., Schwanenberger, C., Shevchenko, R., Singh, A., Tholen, H., Turkot, O., Vagnerini, A., Van De Klundert, M., Van Onsem, G. P., Walsh, R., Wen, Y., Wichmann, K., Wissing, C., Zenaiev, O., Zlebcik, R., Aggleton, R., Bein, S., Benato, L., Benecke, A., Blobel, V., Dreyer, T., Ebrahimi, A., Fröhlich, A., Garbers, C., Garutti, E., Gonzalez, D., Gunnellini, P., Haller, J., Hinzmann, A., Karavdina, A., Kasieczka, G., Klanner, R., Kogler, R., Kovalchuk, N., Kurz, S., Kutzner, V., Lange, J., Lange, T., Malara, A., Marconi, D., Multhaup, J., Niedziela, M., Niemeyer, C. E. N., Nowatschin, D., Perieanu, A., Reimers, A., Rieger, O., Scharf, C., Schleper, P., Schumann, S., Schwandt, J., Sonneveld, J., Stadie, H., Steinbrück, G., Stober, F. M., Stöver, M., Cormwald, B., Zoi, I., Akbiyik, M., Barth, C., Baselga, M., Baur, S., Berger, T., Butz, E., Caspart, R., Chwalek, T., De Boer, W., Dierlamm, A., El Morabit, K., Faltermann, N., Giffels, M., Goldenzweig, P., Harrendorf, M. A., Hartmann, F., Husemann, U., Kudella, S., Mitra, S., Mozer, M. U., Müller, Th., Musich, M., Nürnberg, A., Quast, G., Rabbertz, K., Schröder, M., Shvetsov, I., Simonis, H. J., Ulrich, R., Weber, M., Wöhrmann, C., Wolf, R., Anagnostou, G., Asenov, P., Daskalakis, G., Geralis, T., Kyriakis, A., Loukas, D., Paspalaki, G., Diamantopoulou, M., Karathanasis, G., Kontaxakis, P., Panagiotou, A., Papavergou, I., Saoulidou, N., Theofilatos, K., Vellidis, K., Bakas, G., Kousouris, K., Papakrivopoulos, I., Tsipolitis, G., Evangelou, I., Foudas, C., Gianneios, P., Katsoulis, P., Kokkas, P., Mallios, S., Manitara, K., Manthos, N., Papadopoulos, I., Paradas, E., Strologas, J., Triantis, F. A., Tsitsonis, D., Bartók, M., Csanad, M., Major, P., Mandel, K., Mehta, A., Nagy, M. I., Pasztor, G., Surányi, O., Veres, G. I., Bencze, G., Hajdu, C., Horvath, D., Hunyadi, Ã., Sikler, F., Vámi, T. Ã., Veszpremi, V., Vesztergombi, G., Beni, N., Czellar, S., Karancsi, J., Makovec, A., Molnar, J., Szillasi, Z., Raics, P., Teyssier, D., Trocsanyi, Z. L., Ujvari, B., Csorgo, T. F., Nemes, F., Novak, T., Choudhury, S., Komaragiri, J. R., Tiwari, P. C., Bahinipati, S., Kar, C., Kole, G., Mal, P., Muraleedharan Nair Bindu, V. K., Nayak, A., Roy Chowdhury, S., Sahoo, D. K., Swain, S. K., Bansal, S., Beri, S. B., Bhatnagar, V., Chauhan, S., Chawla, R., Dhingra, N., Gupta, R., Kaur, A., Kaur, M., Karu, S., Kumari, P., Lohan, M., Meena, M., Sandeep, K., Sharma, S., Singh, J. B., Virdi, A. K., Walia, G., Bhardwaj, A., Choudhary, B. C., Garg, R. B., Gola, M., Keshri, S., Kumar, A., Malhotra, S., Naimuddin, M., Priyanka, P., Ranjan, K., Shah, A., Sharma, R., Bhardwaj, R., Bharti, M., Bhattacharya, R., Bhattacharya, S., Bhawandeep, U., Bhowmik, D., Dey, S., Dutta, S., Ghosh, S., Maity, M., Mondal, K., Nandan, S., Purohit, A., Rout, P. K., Rou, A., Saha, G., Sarkar, S., Sarkar, T., Sharan, M., Singh, B., Thakur, S., Behera, P. K., Muhammad, A., Chudasama, R., Dutta, D., Jha, V., Kumar, V., Mishra, D. K., Netrakanti, P. K., Pant, L. M., Shukla, P., Aziz, T., Bhat, M. A., Dugad, S., Mohanty, G. B., Sur, N., Kumar Verman, R., Banerjee, S., Bhattacharya, S., Chatterjee, S., Das, P., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Sahoo, N., Sawant, S., Chauhan. S., Dube, S., Hegde, V., Kapoor, A., Kothekar, K., Pandey, S., Rane, A., Rastogi, A., Sharma, S., Chenarani, S., Eskandari Tadavani, E., Etesami, S. M., Khakzad, M., Mohammadi Najafabadi, M., Naseri, M., Rezaei Hosseinabadi, F., Safarzadeh, B., Fecini, M., Grunewald, M., Abbrescia, M., Calabria, C., Colaleo, A., Creanza, D., Cristella, L., De Filippis, N., De Palma, M., Di Florio., Fiore, L., Gelmi, A., Iaselli, G., Ince, M., Lezki, S., Maggi, G., Maggi, M., Miniella, G., My, S., Nuzzo, S., Pompili, A., Pugliese, G., Radogna, R., Ranieri, A., Selvaggi, G., Silvestris, L., Venditti, R., Verqilligen, P., Abbiendi, G., Battilana, C., Bonacorsi, D., Borgonovi, L., Braibant-Giacomelli, S., Campanini, R., Capiluppi, P., Castro, A., Cavallo, F. R., Ciocca, C., Codispoti, G., Cuffiani, M., Dallavalle, G. M., Gabbri, F., Fanfani, A., Fontanesi, E., Giacomelli, P., Grandi, C., Guiducci, L., Iemmi, F., Lo Meo, S., Marcellini, S., Masetti, G., Navarria, F. L., Perrotta, A., Primavera, F., Rossi, A. M., Rovelli, T., Siroli, G. P., Tosi, N., Albergo, S., Costa, S., Di Mattia, A., Potenza, R., Tricomi, A., Tuve, C., Barbagli, G., Ceccarelli, R., Chatterjee, K., Ciulli, V., Civinini, C., D'Alessandra, R., Focardi, E., Latina, G., Lenzi, P., Meschini, M., Paoletti, S., Russo, L., Sguazzoni, G., Strom, D., Viliani, L., Benussi, L., Bianco, S., Fabbri, F., Piccolo, D., Bozzo, M., Ferro, F., Mulargia, R., Robutti, E., Tosi, S., Benaglia, A., Beschi, A., Brivio, F., Ciriolo, V., Di Guida, S., Dinardo, M. E., Dini, P., Fiorendi, S., Gennai, S., Ghezzi, A., Govoni, P., Malberti, M., Malvezzi, S., Menasce, D., Monti, F., Moroni, L., Ortona, G., Paganoni, M., Pedrini, D., Ragazzi, S., Tabarelli de Fatis, T., Zuolo, D., Buontempo, S., Cavallo, N., De Lorio, A., Di Crescenzo, A., Fabozzi, F., Fienga, F., Galati, G., Iorio, A. O. M., Lista, L., Meola, S., Paolucci, P., Rossi, B., Sciacca, C., Voevodina, E., Azzi, P., Bacchetta, N., Bisella, D., Boletti, A., Bragagnolo, A., Carlin, R., Checchia, P., Dall'Osso, M., De Castro Manzano, P., Dorigo, T., Dosselli, U., Gasparini, F., Gasparini, U., Gozzelino, A., Hoh, S. Y., Lujan, P., Margoni, M., Meneguzzo, A. T., Pazzini, J., Presilla, M., Ronchese, P., Rossin, R., Simonetto, F., TIko, A., Torassa, E., Tosi, M., Zanetti, M., Zotto, P., Zumerle, G., Braghieri, A., Montagna, P., Ratti, S. P., Re, V., Ressegotti, M., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Biasini, M., Bilei, G. M., Cecchi, C., Ciangottini, D., Fanò, L., Lariccia, P., Leonardi, R., Manoni, E., Mantovani, G., Mariani, V., Menichelli, M., Rossi, A., Santocchia, A., Spiga, D., Androsov, K., Azzurri, P., Bagliesi, G., Bertacchi, V., Bianchini, L., Boccali, T., Castaldi, R., Ciocci, M. A., Dell'Orso, R., Fedi, G., Fiori, F., Giannini, L., Giassi, A., Grippo, M. T., Ligabue, F., Manca, E., Mandorli, G., Messineo, A., Palla, F., Rizzi, A., Rolandi, G., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Venturi, A., Verdini, P. 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Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks

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Deep Multiphase Level Set for Scene Parsing

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Visual Localization under Appearance Change: A Filtering Approach

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Consensus Maximization Tree Search Revisited

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Producing Radiologist-Quality Reports for Interpretable Deep Learning

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One-Stage Five-Class Polyp Detection and Classification

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End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging

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Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI

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Quantifying the Reality Gap in Robotic Manipulation Tasks

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Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection

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Single View 3D Point Cloud Reconstruction using Novel View Synthesis and Self-Supervised Depth Estimation

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NeuRoRA: Neural Robust Rotation Averaging

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Learning to generate new indoor scenes

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Real-Time Human Gaze Estimation

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Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

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DirectPose: Direct End-to-End Multi-Person Pose Estimation

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Multiple Instance Learning with Emerging Novel Class

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Plenty is Plague: Fine-Grained Learning for Visual Question Answering

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To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions

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A Dual Joystick-Trackball Interface for Accurate and Time-Efficient Teleoperation of Cable-Driven Parallel Robots within Large Workspaces

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Revisiting Spatio-Angular Trade-off in Light Field Cameras and Extended Applications in Super-Resolution

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Full View Optical Flow Estimation Leveraged From Light Field Superpixel

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Learning Joint Gait Representation via Quintuplet Loss Minimization

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Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring

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Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

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Noise-Aware Unsupervised Deep Lidar-Stereo Fusion

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Identity-Preserving Face Recovery from Stylized Portraits

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Semantic Face Hallucination: Super-Resolving Very Low-Resolution Face Images with Supplementary Attributes

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Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera

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Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring

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Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior

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Visual Permutation Learning

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The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation

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A conditional deep generative model of people in natural images

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Efficient relaxations for dense CRFs with sparse higher-order potentials

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Learning Real-time Closed Loop Robotic Reaching from Monocular Vision by Exploiting A Control Lyapunov Function Structure

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An Equivariant Observer Design for Visual Localisation and Mapping

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A Perception Pipeline for Robotic Harvesting of Green Asparagus

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Asynchronous Spatial Image Convolutions for Event Cameras

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Geometric Feedback Network for Point Cloud Classification

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Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces

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Real-time joint semantic segmentation and depth estimation using asymmetric annotations

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Social Robots with Gamification Principles to Increase Long-Term User Interaction

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Early reflections on becoming a therapist: Development of reflective practice in clinical training programmes in an Australian context

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Psychosocial Health Interventions by Social Robots: Systematic Review of Randomized Controlled Trials

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Predictive and adaptive maps for long-term visual navigation in changing environments

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A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes

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Neural Memory Networks for Robust Classification of Seizure Type

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Inverse Open-Loop Noncooperative Differential Games and Inverse Optimal Control

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MTRNet++: One-stage Mask-based Scene Text Eraser

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Self-driving vehicles: Key technical challenges and progress off the road

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Representation Learning on Unit Ball with 3D Roto-translational Equivariance

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Extracellular vesicles: Potential role in osteoarthritis regenerative medicine

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Characterizing Subtle Facial Movements via Riemannian Manifold

Hong, X., Peng, W., Harandi, M., Zhou, Z., Pietikäinen, M., & Zhao, G. (2019). Characterizing Subtle Facial Movements via Riemannian Manifold. ACM Transactions on Multimedia Computing, Communications, and Applications, 15(3s), 1–24. https://doi.org/10.1145/3342227

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Control Comparison and Evaluation of Pneumatic and Electric Linear Actuators for Configurable Center-Hub Wheels

Pond, L., Hojnik, T., Flick, P., & Roberts, J. (2019). Control comparison and evaluation of pneumatic and electric linear actuators for configurable center-hub wheels. Proceedings of the Australasian Conference on Robotics and Automation 2019:. Australian Robotics and Automation Association (ARAA), Australia, pp. 1-8.

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Star Tracking using an Event Camera

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Waypoint Planning for Autonomous Aerial Inspection of Large-Scale Solar Farms

Salahat, E., Asselineau, C.-A., Coventry, J., & Mahony, R. (2019, December 27). Waypoint Planning for Autonomous Aerial Inspection of Large-Scale Solar Farms. 763–769. https://doi.org/10.1109/iecon.2019.8927123

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An Update on Retinal Prostheses

Ayton, L. N., Barnes, N., Dagnelie, G., Fujikado, T., Goetz, G., Hornig, R., Petoe, M. A., Jones, B. W., Muqit, M. M.K., Rathbun, D. L., Stingl, K., Weiland, J.D. (2019, December 10). An update on retinal prostheses. Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2019.11.029

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Bushfire emergency response simulation

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Bushfire emergency response uncertainty quantification

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Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks

Dasagi, V., Lee, R., Bruce, J., & Leitner, J. (2019). Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks. Retrieved from http://arxiv.org/abs/1911.08666

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Correlation-aware Adversarial Domain Adaptation and Generalization

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Exploiting Human Social Cognition for the Detection of Fake and Fraudulent Faces via Memory Networks

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On-table and short-term mortality: A single institution experience with cementing all hip arthroplasties for neck of femur fractures

Tan, K. G., Whitehouse, S. L., & Crawford, R. W. (2019). On-table and short-term mortality: A single institution experience with cementing all hip arthroplasties for neck of femur fractures. The Journal of Arthroplasty. https://doi.org/10.1016/j.arth.2019.11.027

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Improved Visual Localization via Graph Smoothing

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Multi-marginal Wasserstein GAN

Cao, J., Mo, L., Zhang, Y., Jia, K., Shen, C., & Tan, M. (2019). Multi-marginal Wasserstein GAN.

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Robot Expressive Motions: A Survey of Generation and Evaluation Methods

Venture, G., & Kulić, D. (2019). Robot Expressive Motions. ACM Transactions on Human-Robot Interaction, 8(4), 1–17. https://doi.org/10.1145/3344286

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Deep Hashing by Discriminating Hard Examples

Yan, C., Pang, G., Bai, X., Shen, C., Zhou, J., & Hancock, E. (2019). Deep hashing by discriminating hard examples. MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia, 1535–1542. https://doi.org/10.1145/3343031.3350927

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New Convex Relaxations for MRF Inference with Unknown Graphs

Wang, Z., Liu, T., Shi, Q., Pawan Kumar, M., & Zhang, J. (2019). New Convex Relaxations for MRF Inference with Unknown Graphs.

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Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks

Yu, X., Porikli, F., Fernando, B., & Hartley, R. (2019). Hallucinating Unaligned Face Images by Multiscale Transformative Discriminative Networks. International Journal of Computer Vision. https://doi.org/10.1007/s11263-019-01254-5

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Real Image Denoising with Feature Attention

Answar, S., & Barnes, N. (2019). Supplementary: Real Image Denoising with Feature Attention. Retrieved from http://arxiv.org/abs/1807.04686

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Learning to Find Common Objects Across Few Image Collections

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Bilinear Attention Networks for Person Retrieval

Fang, P., Zhou, J., Kumar Roy, S., Petersson, L., & Harandi, M. (2019). Bilinear Attention Networks for Person Retrieval.

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Siamese Networks: The Tale of Two Manifolds

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A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing

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Benchmarking Simulated Robotic Manipulation through a Real World Dataset

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Predicting the Future: A Jointly Learnt Model for Action Anticipation

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Heart Sound Segmentation using Bidirectional LSTMs with Attention

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Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost

Le, H., Xu, M., Hoang, T., & Milford, M. (2019). Hierarchical Encoding of Sequential Data with Compact and Sub-linear Storage Cost.

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JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments

Martín-Martín, R., Rezatofighi, H., Shenoi, A., Patel, M., Gwak, J., Dass, N., Federman, A., Goebel, P., Savarese, S. (2019). JRDB: A Dataset and Benchmark for Visual Perception for Navigation in Human Environments. Retrieved from http://svl.stanford.edu/projects/jackrabbot/

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Watch, Reason and Code: Learning to Represent Videos Using Program

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Photoshopping Colonoscopy Video Frames

Liu, Y., Tian, Y., Maicas, G., Pu, L. Z. C. T., Singh, R., Verjans, J. W., & Carneiro, G. (2019). Photoshopping Colonoscopy Video Frames. Retrieved from http://arxiv.org/abs/1910.10345

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Mirror Descent View for Neural Network Quantization

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Mao, W., Liu, M., Salzmann, M., & Li, H. (2019). Learning Trajectory Dependencies for Human Motion Prediction.

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Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network

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Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency

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CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation

Gupta, K., Petersson, L., & Hartley, R. (2019). CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. Retrieved from https://github.com/kartikgupta-at-ANU/CullNet.

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Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation

Pan, L., Dai, Y., Liu, M., Porikli, F., & Pan, Q. (2019). Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation. Retrieved from http://arxiv.org/abs/1910.02442

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Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss

Yu, X., Tian, Y., Porikli, F., Hartley, R., Li, H., Heijnen, H., & Balntas, V. (2019). Unsupervised Extraction of Local Image Descriptors via Relative Distance Ranking Loss.

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Rana, K., Talbot, B., Milford, M., & Sünderhauf, N. (2019). Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. Retrieved from http://arxiv.org/abs/1909.10972

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Deep Segmentation-Emendation Model for Gland Instance Segmentation

Xie, Y., Lu, H., Zhang, J., Shen, C., & Xia, Y. (2019). Deep Segmentation-Emendation Model for Gland Instance Segmentation. https://doi.org/10.1007/978-3-030-32239-7_52

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Gradient Information Guided Deraining with A Novel Network and Adversarial Training

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REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

Orlando, J. I., Fu, H., Barbossa Breda, J., van Keer, K., Bathula, D. R., Diaz-Pinto, A., Fang, R., Heng, P-A., Kim, J., Lee, J., Lee, J., Li, X., Liu, P., Lu, S., Murugesan, B., Naranjo, V., Phaye, S S R., Shankaranarayana, S., Sikka, A., Son,J., van den Hengel, A., Wang, S., Wu, J., Wu, Z., Xu, G., Xu, Y., Yin, P., Li, F., Zhang, X., Yanwu, X., Bogunović, H. (2020). REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs. Medical Image Analysis, 59, 101570. https://doi.org/10.1016/j.media.2019.101570

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PolarMask: Single Shot Instance Segmentation with Polar Representation

Xie, E., Sun, P., Song, X., Wang, W., Liu, X., Liang, D., Shen, C., Luo, P. (2019). PolarMask: Single Shot Instance Segmentation with Polar Representation. Retrieved from http://arxiv.org/abs/1909.13226

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Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging

Oakden-Rayner, L., Dunnmon, J., Carneiro, G., & Ré, C. (2019). Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging. Retrieved from http://arxiv.org/abs/1909.12475

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Ch’ng, S.-F., Sogi, N., Purkait, P., Chin, T.-J., & Fukui, K. (2019). Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints. Retrieved from http://arxiv.org/abs/1909.11888

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Structured Binary Neural Networks for Image Recognition

Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2019). Structured Binary Neural Networks for Image Recognition. Retrieved from http://arxiv.org/abs/1909.09934

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IR-NAS: Neural Architecture Search for Image Restoration

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Part-Guided Attention Learning for Vehicle Re-Identification

Zhang, X., Zhang, R., Cao, J., Gong, D., You, M., & Shen, C. (2019). Part-Guided Attention Learning for Vehicle Re-Identification. Retrieved from http://arxiv.org/abs/1909.06023

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TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Wang, W., Xie, E., Sun, P., Wang, W., Tian, L., Shen, C., & Luo, P. (2019). TextSR: Content-Aware Text Super-Resolution Guided by Recognition. Retrieved from http://arxiv.org/abs/1909.07113

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Task-Aware Monocular Depth Estimation for 3D Object Detection

Wang, X., Yin, W., Kong, T., Jiang, Y., Li, L., & Shen, C. (2019). Task-Aware Monocular Depth Estimation for 3D Object Detection. Retrieved from http://arxiv.org/abs/1909.07701

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Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation

Xing, Y., Ge, Z., Zeng, R., Mahapatra, D., Seah, J., Law, M., & Drummond, T. (2019). Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation. https://doi.org/10.1007/978-3-030-32226-7_84

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A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold

Gao, Z., Wu, Y., Harandi, M., & Jia, Y. (2019). A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold. IEEE Transactions on Neural Networks and Learning Systems, 1–15. https://doi.org/10.1109/tnnls.2019.2939177

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Robotic and Image-Guided Knee Arthroscopy

Wu, L., Jaiprakash, A., Pandey, A. K., Fontanarosa, D., Jonmohamadi, Y., Antico, M., Strydom, M., Razjigaev, A., Sasazawa, F., Roberts, J., & Crawford, R. (2020). Robotic and Image-Guided Knee Arthroscopy. In Handbook of Robotic and Image-Guided Surgery (pp. 493–514). https://doi.org/10.1016/b978-0-12-814245-5.00029-3

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Forecasting Future Action Sequences with Neural Memory Networks

Gammulle, H., Denman, S., Sridharan, S., & Fookes, C. (2019). Forecasting Future Action Sequences with Neural Memory Networks. Retrieved from http://arxiv.org/abs/1909.09278

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A Compact Neural Architecture for Visual Place Recognition

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NeuroSLAM: a brain-inspired SLAM system for 3D environments

Yu, F., Shang, J., Hu, Y., & Milford, M. (2019). NeuroSLAM: a brain-inspired SLAM system for 3D environments. Biological Cybernetics. https://doi.org/10.1007/s00422-019-00806-9

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CAMAL: Context-Aware Multi-scale Attention framework for Lightweight Visual Place Recognition

Khaliq, A., Ehsan, S., Milford, M., & McDonald-Maier, K. (2019). CAMAL: Context-Aware Multi-scale Attention framework for Lightweight Visual Place Recognition. Retrieved from http://arxiv.org/abs/1909.08153

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Parallel Optimal Transport GAN

Avraham, G., Zuo, Y., & Drummond, T. (2019). Parallel Optimal Transport GAN *. Retrieved from http://openaccess.thecvf.com/content_CVPR_2019/html/Avraham_Parallel_Optimal_Transport_GAN_CVPR_2019_paper.html

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Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI

Maicas, G., Bradley, A. P., Nascimento, J. C., Reid, I., & Carneiro, G. (2019). Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI (pp. 163–178). https://doi.org/10.1007/978-3-030-13969-8_8

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BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization

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Training Compact Neural Networks via Auxiliary Overparameterization

Liu, Y., Zhuang, B., Shen, C., Chen, H., & Yin, W. (2019). Training Compact Neural Networks via Auxiliary Overparameterization. Retrieved from http://arxiv.org/abs/1909.02214

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From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer

Xiong, H., Lu, H., Liu, C., Liu, L., Cao, Z., & Shen, C. (2019). From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer. Retrieved from https://github.

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Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Wang, W., Xie, E., Song, X., Zang, Y., Wang, W., Lu, T., & Shen, C. (2019). Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network.

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MobileFAN: Transferring Deep Hidden Representation for Face Alignment

Zhao, Y., Liu, Y., Shen, C., Gao, Y., & Xiong, S. (2019). MobileFAN: Transferring Deep Hidden Representation for Face Alignment. Retrieved from http://arxiv.org/abs/1908.03839

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Exploiting temporal consistency for real-time video depth estimation

Zhang, H., Shen, C., Li, Y., Cao, Y., Liu, Y., & Yan, Y. (2019). Exploiting temporal consistency for real-time video depth estimation *. Retrieved from https://tinyurl.com/STCLSTM

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Evaluation of the impact of image spatial resolution in designing a context-based fully convolution neural networks for flood mapping

Sarker, C., Mejias, L., Maire, F., & Woodley, A. (2020). Evaluation of the Impact of Image Spatial Resolution in Designing a Context-Based Fully Convolution Neural Networks for Flood Mapping. 1–8. https://doi.org/10.1109/dicta47822.2019.8945888

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A probabilistic challenge for object detection

Sünderhauf, N., Dayoub, F., Hall, D., Skinner, J., Zhang, H., Carneiro, G., & Corke, P. (2019). A probabilistic challenge for object detection. Nature Machine Intelligence, 1(9), 443–443. https://doi.org/10.1038/s42256-019-0094-4

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Real-time Joint Motion Analysis and Instrument Tracking for Robot-Assisted Orthopaedic Surgery

Hou, L., Chen, X., Lan, K., Rasmussen, R., & Roberts, J. (2019). Volumetric Next Best View by 3D Occupancy Mapping Using Markov Chain Gibbs Sampler for Precise Manufacturing. IEEE Access, 7, 121949–121960. https://doi.org/10.1109/access.2019.2935547

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Target-Specific Siamese Attention Network for Real-time Object Tracking

Hou, L., Chen, X., Lan, K., Rasmussen, R., & Roberts, J. (2019). Volumetric Next Best View by 3D Occupancy Mapping Using Markov Chain Gibbs Sampler for Precise Manufacturing. IEEE Access, 7, 121949–121960. https://doi.org/10.1109/access.2019.2935547

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Volumetric Next Best View by 3D Occupancy Mapping Using Markov Chain Gibbs Sampler for Precise Manufacturing

Hou, L., Chen, X., Lan, K., Rasmussen, R., & Roberts, J. (2019). Volumetric Next Best View by 3D Occupancy Mapping Using Markov Chain Gibbs Sampler for Precise Manufacturing. IEEE Access, 7, 121949–121960. https://doi.org/10.1109/access.2019.2935547

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Neighbourhood context embeddings in deep inverse reinforcement learning for predicting pedestrian motion over long time horizons

Felix, R., Harwood, B., Sasdelli, M., & Carneiro, G. (2019). Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. Retrieved from http://arxiv.org/abs/1908.04930

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Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Bian, J.-W., Li, Z., Wang, N., Zhan, H., Shen, C., Cheng, M.-M., & Reid, I. (2019). Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video.

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Target-Aware Deep Tracking

Li, X., Ma, C., Wu, B., He, Z., & Yang, M.-H. (2019). Target-Aware Deep Tracking.

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RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs

Liu, C., Ding, W., Xia, X., Hu, Y., Zhang, B., Liu, J, Zhuang, B. & Guo, G. (2019). RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. Retrieved from http://arxiv.org/abs/1908.07748

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Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space

Felix, R., Harwood, B., Sasdelli, M., & Carneiro, G. (2019). Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. 1–8. https://doi.org/10.1109/dicta47822.2019.8945949

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Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations

Bohan Zhuang, Jing Liu, Mingkui Tan, Lingqiao Liu, Ian Reid, C. S. (2019). Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations. Retrieved from https://arxiv.org/pdf/1908.04680

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Indices Matter: Learning to Index for Deep Image Matting

Lu, H., Dai, Y., Shen, C., & Xu, S. (2019). Indices Matter: Learning to Index for Deep Image Matting. Retrieved from https://tinyurl.com/IndexNetV1.

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Enforcing geometric constraints of virtual normal for depth prediction

Yin, W., Liu, Y., Shen, C., & Yan, Y. (2019). Enforcing geometric constraints of virtual normal for depth prediction. Retrieved from https://tinyurl.com/

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Few-Shot Meta-Denoising

Leslie Casas, Gustavo Carneiro, Nassir Navab, & and Vasileios Belagiannis. (2019). Few-Shot Meta-Denoising. Retrieved from https://arxiv.org/pdf/1908.00111

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Scalable Place Recognition Under Appearance Change for Autonomous Driving

Doan, A.-D., Latif, Y., Chin, T.-J., Liu, Y., Do, T.-T., & Reid, I. (2019). Scalable Place Recognition Under Appearance Change for Autonomous Driving.

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Residual Multiscale Based Single Image Deraining

Zheng, Y., Yu, X., Liu, M., & Zhang, S. (2019). YP.ZHENG ET AL: RESIDUAL MULTISCALE BASED SINGLE IMAGE DERAINING Residual Multiscale Based Single Image Deraining.

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Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes

Ramasinghe, S., Khan, S., Barnes, N., & Gould, S. (2019). Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes. Retrieved from http://arxiv.org/abs/1908.10209

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Proximal Mean-field for Neural Network Quantization

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Mind your neighbours: Image annotation with metadata neighbourhood graph co-attention networks

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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

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Multisensory Assisted In-hand Manipulation of Objects with a Dexterous Hand

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Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning

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Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation

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Curiosity Did Not Kill the Robot

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Ctrl-Z: Recovering from Instability in Reinforcement Learning

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TIMTAM: Tunnel-image texturally accorded mosaic for location refinement of underground vehicles with a single camera

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Real-time Joint Motion Analysis and Instrument Tracking for Robot-Assisted Orthopaedic Surgery

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Exosomes Extraction and Identification

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Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning

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Towards Active Robotic Vision in Agriculture: A Deep Learning Approach to Visual Servoing in Occluded and Unstructured Protected Cropping Environments

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Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention

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Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization

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Question-Agnostic Attention for Visual Question Answering

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Learning Variations in Human Motion via Mix-and-Match Perturbation

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Cousin Network Guided Sketch Recognition via Latent Attribute Warehouse

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Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects

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Deep Point-to-Subspace Metric Learning for Sketch-Based 3D Shape Retrieval

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V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices

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Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation

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Deep Anomaly Detection with Deviation Networks

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Model-free Tracker for Multiple Objects Using Joint Appearance and Motion Inference

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Adaptive Neuro-Surrogate-Based Optimisation Method for Wave Energy Converters Placement Optimisation

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A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing

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Real-Time Correlation Tracking via Joint Model Compression and Transfer

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Inverse Optimal Control for Multiphase Cost Functions

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Using Temporal Information for Recognizing Actions from Still Images

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EMPNet: Neural Localisation and Mapping Using Embedded Memory Points

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Immunoregulatory role of exosomes derived from differentiating mesenchymal stromal cells on inflammation and osteogenesis

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Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation

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Visual Controllers for Relative Positioning in Indoor Settings

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Real-time Vision-only Perception for Robotic Coral Reef Monitoring and Management

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Optimal Feature Transport for Cross-View Image Geo-Localization

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Densely Residual Laplacian Super-Resolution

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Human Detection Aided by Deeply Learned Semantic Masks

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Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes

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Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions

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CVPR19 Tracking and Detection Challenge: How crowded can it get?

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SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks

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BTEL: A Binary Tree Encoding Approach for Visual Localization

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Filter Early, Match Late: Improving Network-Based Visual Place Recognition

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Learning robust, real-time, reactive robotic grasping

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Dynamic Manipulation of Gear Ratio and Ride Height for a Novel Compliant Wheel using Pneumatic Actuators

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Dense Deformation Network for High Resolution Tissue Cleared Image Registration

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Vision-Based Path Finding Strategy of Unmanned Aerial Vehicles for Electrical Infrastructure Purpose

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Event Cameras, Contrast Maximization and Reward Functions: An Analysis

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Caricaturing can improve facial expression recognition in low-resolution images and age-related macular degeneration

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A Signal Propagation Perspective for Pruning Neural Networks at Initialization

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Event-based Star Tracking via Multiresolution Progressive Hough Transforms

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One shot segmentation: unifying rigid detection and non-rigid segmentation using elastic regularization

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Towards End-to-End Text Spotting in Natural Scenes

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Practical optimal registration of terrestrial LiDAR scan pairs

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Multi-modal Ensemble Classification for Generalized Zero Shot Learning

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Accelerated Guided Sampling for Multistructure Model Fitting

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RefineNet: Multi-Path Refinement Networks for Dense Prediction

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Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss

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Attention Residual Learning for Skin Lesion Classification

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Cardiovascular Diseases

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A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints

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Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

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RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

Li, J., Liu, Y., Gong, D., Shi, Q., Yuan, X., Zhao, C., & Reid, I. (2019). RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion.

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Associatively Segmenting Instances and Semantics in Point Clouds

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Self-supervised Learning for Single View Depth and Surface Normal Estimation

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Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation

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Multi-Scale Dense Networks for Deep High Dynamic Range Imaging

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CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning

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Using Digital Visualization of Archival Sources to Enhance Archaeological Interpretation of the ‘Life History’ of Ships: The Case Study of HMCS/HMAS Protector

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Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation

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Knowledge Adaptation for Efficient Semantic Segmentation

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Semi-and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation

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Learning Distilled Graph for Large-scale Social Network Data Clusterin

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Robust foreground segmentation and image registration for optical detection of GEO objects

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Accurate Imagery Recovery Using a Multi-Observation Patch Model

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Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis

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Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

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Actively Seeking and Learning from Live Data

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Reinforcement Learning with Attention that Works: A Self-Supervised Approach

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FCOS: Fully Convolutional One-Stage Object Detection

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A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

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Attention-guided Network for Ghost-free High Dynamic Range Imaging

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An Effective Two-Branch Model-Based Deep Network for Single Image Deraining

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TopNet: Structural Point Cloud Decoder

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A Generative Adversarial Density Estimator

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Event-Based Motion Segmentation by Motion Compensation

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CED: Color Event Camera Dataset

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Toward Efficient Action Recognition: Principal Backpropagation for Training Two-Stream Networks

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Min-Max Statistical Alignment for Transfer Learning

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Online near time-optimal trajectory planning for industrial robots

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Decoding the Dynamics of Social Identity Threat in the Workplace: A Within-Person Analysis of Women’s and Men’s Interactions in STEM

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Impacts of Visual Occlusion and Its Resolution in Robot-Mediated Social Collaborations

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An Affordance and Distance Minimization Based Method for Computing Object Orientations for Robot Human Handovers

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Stable Gaussian process based tracking control of Euler–Lagrange systems

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Expression of Curiosity in Social Robots

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Learning to Engage with Interactive Systems: A Field Study

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Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions

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The Importance of Metric Learning for Robotic Vision: Open Set Recognition and Active Learning

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Learning to Take Good Pictures of People with a Robot Photographer

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SASSE: Scalable and Adaptable 6-DOF Pose Estimation

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Visual SLAM: Why Bundle Adjust?

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RERERE: Remote Embodied Referring Expressions in Real indoor Environments

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Homography estimation of a moving planar scene from direct point correspondence

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Learning to Adapt for Stereo

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A Deep Journey into Super-resolution: A survey

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Super-Trajectories: A Compact Yet Rich Video Representation

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Canny-VO: Visual Odometry with RGB-D Cameras Based on Geometric 3-D-2-D Edge Alignment

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Adversarial spatio-temporal learning for video deblurring

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Bringing Blurry Alive at High Frame-Rate with an Event Camera

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Single image deblurring and camera motion estimation with depth map

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Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation

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Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry

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Continual Learning with Tiny Episodic Memories

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On the structure of kinematic systems with complete symmetry

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Neural Collaborative Subspace Clustering

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Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images

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Practical Robot Learning from Demonstrations using Deep End-to-End Training

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Deep Learning AI for Corrosion Detection

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Application of Metabolomics to Osteoarthritis: from Basic Science to the Clinical Approach

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Picking the right robotics challenge

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Quickest Detection and Identification of Intermittent Signals with Application to Vision Based Aircraft Detection

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On the Informativeness of Measurements in Shiryaev’s Bayesian Quickest Change Detection

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Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid

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Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization

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Dense-ArthroSLAM: dense intra-articular 3D reconstruction with robust localization prior for arthroscopy

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Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm

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Modular field robot deployment for inspection of dilapidated buildings

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On the choice of grasp type and location when handing over an object

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Learning to Fuse Multiscale Features for Visual Place Recognition

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SASSE: Scalable and Adaptable 6-DOF Pose Estimation

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LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles

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Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions

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Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

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Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?

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Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors

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The Probabilistic Object Detection Challenge

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Semantic–geometric visual place recognition: a new perspective for reconciling opposing views

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Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation

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Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks

Jakes, D., Ge, Z., & Wu, L. (2019). Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks. Retrieved from http://arxiv.org/abs/1902.08943

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Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network

Zhang, L., Wang, P., Shen, C., Liu, L., Wei, W., Zhang, Y., & van den Hengel, A. (2020). Adaptive Importance Learning for Improving Lightweight Image Super-Resolution Network. International Journal of Computer Vision, 128(2), 479–499. https://doi.org/10.1007/s11263-019-01253-6

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One-step adaptive markov random field for structured compressive sensing

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Recovering Faces From Portraits with Auxiliary Facial Attributes

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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Song, X., Wang, P., Zhou, D., Zhu, R., Guan, C., Dai, Y., Su, H., Li, H., & Yang, R. (2019). ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving.

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Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

Maicas, G., Bradley, A. P., Nascimento, J. C., Reid, I., & Carneiro, G. (2019). Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI. Medical Image Analysis, 58, 101562. https://doi.org/10.1016/j.media.2019.101562

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Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks

Wang, P., Wu, Q., Cao, J., Shen, C., Gao, L., & Van Den Hengel, A. (2019). Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks *.

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On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC

Tran, N.-T., Le Tan, D.-K., Doan, A.-D., Do, T.-T., Bui, T.-A., Tan, M., & Cheung, N.-M. (2019). On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Transactions on Image Processing, 28(4), 1675–1690. http://doi.org/10.1109/TIP.2018.2881829

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Object Captioning and Retrieval with Natural Language

Nguyen, A., Tran, Q. D., Do, T.-T., Reid, I., Caldwell, D. G., & Tsagarakis, N. G. (2019). Object Captioning and Retrieval with Natural Language.

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Visual Question Answering as Reading Comprehension

Li, H., Wang, P., Shen, C., & Van Den Hengel, A. (2019). Visual Question Answering as Reading Comprehension.

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Real-Time Monocular Object-Model Aware Sparse SLAM

Hosseinzadeh, M., Li, K., Latif, Y., & Reid, I. (2019). Real-time monocular object-model aware sparse SLAM. Proceedings - IEEE International Conference on Robotics and Automation, 2019-May, 7123–7129. https://doi.org/10.1109/ICRA.2019.8793728

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Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

Zhuang, B., Shen, C., Tan, M., Liu, L., & Reid, I. (2019). Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation.

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Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation

Zhang, T., Lin, G., Cai, J., Shen, T., Shen, C., & Kot, A. C. (2019). Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation. IEEE Transactions on Multimedia, 21(11), 2930–2941. https://doi.org/10.1109/TMM.2019.2914870

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Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

Nekrasov, V., Chen, H., Shen, C., & Reid, I. (2019). Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells. Retrieved from https://github.com/

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QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM

Nicholson, L., Milford, M., & Sunderhauf, N. (2019). QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM. IEEE Robotics and Automation Letters, 4(1), 1–8. http://doi.org/10.1109/LRA.2018.2866205

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Multi-View Picking: Next-best-view Reaching for Improved Grasping in Clutter

Morrison, D., Corke, P., & Leitner, J. (2019). Multi-view picking: Next-best-view reaching for improved grasping in clutter. Proceedings - IEEE International Conference on Robotics and Automation, 2019-May, 8762–8768. https://doi.org/10.1109/ICRA.2019.8793805

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Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection

Miller, Di., Dayoub, F., Milford, M., & Sunderhauf, N. (2019). Evaluating merging strategies for sampling-based uncertainty techniques in object detection. Proceedings - IEEE International Conference on Robotics and Automation, 2019-May, 2348–2354. https://doi.org/10.1109/ICRA.2019.8793821

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Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

Li, H., Wang, P., Shen, C., & Zhang, G. (2019). Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 8610–8617. https://doi.org/10.1609/aaai.v33i01.33018610

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Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion

Tsai, D., Dansereau, D. G., Peynot, T., & Corke, P. (2019). Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion. IEEE Robotics and Automation Letters, 4(2), 177–184. http://doi.org/10.1109/LRA.2018.2884765

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Second-order Temporal Pooling for Action Recognition

Cherian, A., & Gould, S. (2019). Second-order Temporal Pooling for Action Recognition. International Journal of Computer Vision, 127(4), 340–362. https://doi.org/10.1007/s11263-018-1111-5

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Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

Wu, Z., Shen, C., & van den Hengel, A. (2019). Wider or Deeper: Revisiting the ResNet Model for Visual Recognition. Pattern Recognition, 90, 119–133. https://doi.org/10.1016/j.patcog.2019.01.006

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