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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
6752021
Higher order conditional random fields in deep neural networks
A Arnab, S Jayasumana, S Zheng, PHS Torr
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
283*2016
Pixelwise instance segmentation with a dynamically instantiated network
A Arnab, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2512017
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
2442018
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
1832019
Weakly-and Semi-Supervised Panoptic Segmentation
Q Li, A Arnab, PHS Torr
Proceedings of the European Conference on Computer Vision (ECCV), 102-118, 2018
1632018
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
1552019
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
1372021
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
1332018
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
1012020
Bottom-up instance segmentation using deep higher-order crfs
A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2016
632016
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
582022
Holistic, Instance-Level Human Parsing
Q Li, A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2017
572017
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
492021
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
372021
The efficiency misnomer
M Dehghani, A Arnab, L Beyer, A Vaswani, Y Tay
arXiv preprint arXiv:2110.12894, 2021
332021
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
32*2017
Polyvit: Co-training vision transformers on images, videos and audio
V Likhosherstov, A Arnab, K Choromanski, M Lucic, Y Tay, A Weller, ...
arXiv preprint arXiv:2111.12993, 2021
242021
Simple open-vocabulary object detection with vision transformers
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ...
arXiv preprint arXiv:2205.06230, 2022
222022
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
222022
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