Следене
Philip Torr
Philip Torr
Professor, University of Oxford
Потвърден имейл адрес: eng.ox.ac.uk - Начална страница
Заглавие
Позовавания
Позовавания
Година
Global contrast based salient region detection
MM Cheng, NJ Mitra, X Huang, PHS Torr, SM Hu
IEEE transactions on pattern analysis and machine intelligence 37 (3), 569-582, 2014
47022014
Fully-convolutional siamese networks for object tracking
L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
43152016
Learning to compare: Relation network for few-shot learning
F Sung, Y Yang, L Zhang, T Xiang, PHS Torr, TM Hospedales
Proceedings of the IEEE conference on computer vision and pattern …, 2018
41302018
Struck: Structured output tracking with kernels
S Hare, S Golodetz, A Saffari, V Vineet, MM Cheng, SL Hicks, PHS Torr
IEEE transactions on pattern analysis and machine intelligence 38 (10), 2096 …, 2015
33702015
Conditional random fields as recurrent neural networks
S Zheng, S Jayasumana, B Romera-Paredes, V Vineet, Z Su, D Du, ...
Proceedings of the IEEE international conference on computer vision, 1529-1537, 2015
31522015
MLESAC: A new robust estimator with application to estimating image geometry
PHS Torr, A Zisserman
Computer vision and image understanding 78 (1), 138-156, 2000
28932000
Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
S Zheng, J Lu, H Zhao, X Zhu, Z Luo, Y Wang, Y Fu, J Feng, T Xiang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
22542021
Res2net: A new multi-scale backbone architecture
SH Gao, MM Cheng, K Zhao, XY Zhang, MH Yang, P Torr
IEEE transactions on pattern analysis and machine intelligence 43 (2), 652-662, 2019
20332019
Staple: Complementary learners for real-time tracking
L Bertinetto, J Valmadre, S Golodetz, O Miksik, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2016
20042016
End-to-end representation learning for correlation filter based tracking
J Valmadre, L Bertinetto, J Henriques, A Vedaldi, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2017
17212017
Deeply supervised salient object detection with short connections
Q Hou, MM Cheng, X Hu, A Borji, Z Tu, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2017
15982017
Fast online object tracking and segmentation: A unifying approach
Q Wang, L Zhang, L Bertinetto, W Hu, PHS Torr
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2019
13882019
An embarrassingly simple approach to zero-shot learning
B Romera-Paredes, P Torr
International conference on machine learning, 2152-2161, 2015
13372015
BING: Binarized normed gradients for objectness estimation at 300fps
MM Cheng, Z Zhang, WY Lin, P Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2014
13342014
Point transformer
H Zhao, L Jiang, J Jia, PHS Torr, V Koltun
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
11942021
Robust higher order potentials for enforcing label consistency
P Kohli, L Ladický, PHS Torr
International Journal of Computer Vision 82, 302-324, 2009
11752009
The development and comparison of robust methods for estimating the fundamental matrix
PHS Torr, DW Murray
International journal of computer vision 24, 271-300, 1997
10861997
Desire: Distant future prediction in dynamic scenes with interacting agents
N Lee, W Choi, P Vernaza, CB Choy, PHS Torr, M Chandraker
Proceedings of the IEEE conference on computer vision and pattern …, 2017
10232017
Snip: Single-shot network pruning based on connection sensitivity
N Lee, T Ajanthan, PHS Torr
arXiv preprint arXiv:1810.02340, 2018
9312018
Meta-learning with differentiable closed-form solvers
L Bertinetto, JF Henriques, PHS Torr, A Vedaldi
arXiv preprint arXiv:1805.08136, 2018
9122018
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