MapNet: An allocentric spatial memory for mapping environments by Henriques, J, Vedaldi, A

Warped convolutions: Efficient invariance to spatial transformations by Henriques, J, Vedaldi, A

Small steps and giant leaps: minimal newton solvers for deep learning by Henriques, J, Ehrhardt, S, Albanie, S, Vedaldi, A

Invariant information clustering for unsupervised image classification and segmentation by Ji, X, Henriques, J, Vedaldi, A

Meta-learning with differentiable closed-form solvers by Bertinetto, L, Henriques, J, Torr, P, Vedaldi, A

N2F2: hierarchical scene understanding with nested neural feature fields by Bhalgat, YS, Laina, I, Henriques, J, Zisserman, A, Vedaldi, A

Learning feed-forward one-shot learners by Bertinetto, L, Henriques, J, Valmadre, J, Torr, P, Vedaldi, A

End-to-end representation learning for Correlation Filter based tracking by Valmadre, J, Bertinetto, L, Henriques,, J, Vedaldi, A, Torr, P

Support-set bottlenecks for video-text representation learning by Patrick, M, Huang, PY, Asano, YM, Metze, F, Hauptmann, A, Henriques, J, Vedaldi, A

Space-Time Crop & Attend: improving cross-modal video representation learning by Patrick, M, Huang, P-Y, Misra, I, Metze, F, Vedaldi, A, Asano, YM, Henriques, J

Long-term tracking in the wild: a benchmark by Valmadre, J, Bertinetto, L, Henriques, J, Tao, R, Vedaldi, A, Smeulders, A, Torr, P, Gavves, E

The sixth visual object tracking VOT2018 challenge results by Kristan, M, Leonardis, A, Matas, J, Vedaldi, A, Henriques, J, Bertinetto, L, Lee, N, Lee, N, Torr, P, Golodetz, S, al., E

Guidelines for the Management of Center-Involving Diabetic Macular Edema: Treatment Options and Patient Monitorization by Figueira J, Henriques J, Carneiro Â, Marques-Neves C, Flores R, Castro-Sousa JP, Meireles A, Gomes N, Nascimento J, Amaro M, Silva R

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The visual object tracking VOT2017 challenge results by Kristan, M, Leonardis, A, Matas, J, Felsberg, M, Pflugfelder, R, Zajc, L, Vojir, T, Hager, G, Lukezic, A, Eldesokey, A, Fernandez, G, Garcia-Martin, A, Muhic, A, Petrosino, A, Memarmoghadam, A, Vedaldi, A, Manzanera, A, Tran, A, Alatan, A, Mocanu, B, Chen, B, Huang, C, Xu, C, Sun, C, Du, D, Zhang, D, Du, D, Mishra, D, Gundogdu, E, Velasco-Salido, E, Khan, F, Battistone, F, Subrahmanyam, G, Bhat, G, Huang, G, Bastos, G, Seetharaman, G, Zhang, H, Li, H, Lu, H, Drummond, I, Valmadre, J, Jeong, J, Cho, J, Lee, J, Noskova, J, Zhu, J, Gao, J, Liu, J, Kim, J, Henriques, J, Martinez, J, Zhuang, J, Xing, J, Gao, J, Chen, K, Palaniappan, K, Lebeda, K, Gao, K, Kitani, K, Zhang, L, Wang, L, Yang, L, Wen, L, Bertinetto, L, Poostchi, M, Danelljan, M, Mueller, M, Zhang, M, Yang, M, Xie, N, Wang, N, Miksik, O, Moallem, P, M, P, Senna, P, Torr, P, Wang, Q, Yu, Q, Huang, Q, Martin-Nieto, R, Bowden, R, Liu, R, Tapu, R, Hadfield, S, Lyu, S, Golodetz, S, Choi, S, Zhang, T, Zaharia, T, Santopietro, V, Zou, W, Hu, W, Tao, W, Li, W, Zhou, W, Yu, X, Bian, X, Li, Y, Xing, Y, Fan, Y, Zhu, Z, Zhang, Z, He, Z

Spatial reasoning and planning for deep embodied agents by Ishida, S

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