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Anurag Arnab
Anurag Arnab
Verified email at eng.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Higher order conditional random fields in deep neural networks
A Arnab, S Jayasumana, S Zheng, PHS Torr
European conference on computer vision, 524-540, 2016
270*2016
Pixelwise instance segmentation with a dynamically instantiated network
A Arnab, PHS Torr
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2232017
Vivit: A video vision transformer
A Arnab, M Dehghani, G Heigold, C Sun, M Lučić, C Schmid
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2182021
On the robustness of semantic segmentation models to adversarial attacks
A Arnab, O Miksik, PHS Torr
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 888-897, 2018
1972018
Exploiting temporal context for 3D human pose estimation in the wild
A Arnab, C Doersch, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1502019
Weakly-and Semi-Supervised Panoptic Segmentation
Q Li, A Arnab, PHS Torr
Proceedings of the European Conference on Computer Vision (ECCV), 102-118, 2018
1382018
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
1172018
Dual graph convolutional network for semantic segmentation
L Zhang, X Li, A Arnab, K Yang, Y Tong, PHS Torr
arXiv preprint arXiv:1909.06121, 2019
1082019
Dynamic graph message passing networks
L Zhang, D Xu, A Arnab, PHS Torr
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
722020
Bottom-up instance segmentation using deep higher-order crfs
A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2016
602016
Holistic, Instance-Level Human Parsing
Q Li, A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2017
452017
Attention bottlenecks for multimodal fusion
A Nagrani, S Yang, A Arnab, A Jansen, C Schmid, C Sun
Advances in Neural Information Processing Systems 34, 2021
352021
A projected gradient descent method for CRF inference allowing end-to-end training of arbitrary pairwise potentials
M Larsson, A Arnab, F Kahl, S Zheng, P Torr
International Conference on Energy Minimization Methods in Computer Vision …, 2017
29*2017
Semanticpaint: A framework for the interactive segmentation of 3d scenes
S Golodetz, M Sapienza, JPC Valentin, V Vineet, MM Cheng, A Arnab, ...
arXiv preprint arXiv:1510.03727, 2015
162015
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
MS Ryoo, AJ Piergiovanni, A Arnab, M Dehghani, A Angelova
arXiv preprint arXiv:2106.11297, 2021
142021
Meta-Learning Deep Visual Words for Fast Video Object Segmentation
HS Behl, M Naja, A Arnab, PHS Torr
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
142020
Semanticpaint: interactive segmentation and learning of 3d worlds
S Golodetz, M Sapienza, JPC Valentin, V Vineet, MM Cheng, ...
ACM SIGGRAPH 2015 Emerging Technologies, 1-1, 2015
142015
The efficiency misnomer
M Dehghani, A Arnab, L Beyer, A Vaswani, Y Tay
arXiv preprint arXiv:2110.12894, 2021
122021
Deep fully-connected part-based models for human pose estimation
R de Bem, A Arnab, S Golodetz, M Sapienza, P Torr
Asian Conference on Machine Learning, 327-342, 2018
122018
Joint object-material category segmentation from audio-visual cues
A Arnab, M Sapienza, S Golodetz, J Valentin, O Miksik, S Izadi, P Torr
Proceedings of the British Machine Vision Conference (BMVC), 2015
122015
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