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Anurag Arnab
Anurag Arnab
Verified email at eng.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
4122021
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
278*2016
Pixelwise instance segmentation with a dynamically instantiated network
A Arnab, PHS Torr
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2332017
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
2262018
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
1732019
Weakly-and Semi-Supervised Panoptic Segmentation
Q Li, A Arnab, PHS Torr
Proceedings of the European Conference on Computer Vision (ECCV), 102-118, 2018
1492018
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
1282019
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
1252018
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
852020
Attention bottlenecks for multimodal fusion
A Nagrani, S Yang, A Arnab, A Jansen, C Schmid, C Sun
Advances in Neural Information Processing Systems 34, 14200-14213, 2021
802021
Bottom-up instance segmentation using deep higher-order crfs
A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2016
612016
Holistic, Instance-Level Human Parsing
Q Li, A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2017
502017
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
312021
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
30*2017
Multiview transformers for video recognition
S Yan, X Xiong, A Arnab, Z Lu, M Zhang, C Sun, C Schmid
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
242022
The efficiency misnomer
M Dehghani, A Arnab, L Beyer, A Vaswani, Y Tay
arXiv preprint arXiv:2110.12894, 2021
192021
Tokenlearner: Adaptive space-time tokenization for videos
M Ryoo, AJ Piergiovanni, A Arnab, M Dehghani, A Angelova
Advances in Neural Information Processing Systems 34, 12786-12797, 2021
172021
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
172015
Scenic: A JAX library for computer vision research and beyond
M Dehghani, A Gritsenko, A Arnab, M Minderer, Y Tay
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
162022
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
162020
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