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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
17382021
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
4282021
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
3152018
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
310*2016
Pixelwise instance segmentation with a dynamically instantiated network
A Arnab, PHS Torr
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2832017
Simple open-vocabulary object detection
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ...
European Conference on Computer Vision, 728-755, 2022
2492022
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
2462019
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International Conference on Machine Learning, 7480-7512, 2023
2332023
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
2162019
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
2062022
Weakly-and Semi-Supervised Panoptic Segmentation
Q Li, A Arnab, PHS Torr
Proceedings of the European Conference on Computer Vision (ECCV), 102-118, 2018
2042018
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
1622018
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
1342020
End-to-end generative pretraining for multimodal video captioning
PH Seo, A Nagrani, A Arnab, C Schmid
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1282022
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
1232021
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
992021
The efficiency misnomer
M Dehghani, A Arnab, L Beyer, A Vaswani, Y Tay
arXiv preprint arXiv:2110.12894, 2021
872021
Pali-x: On scaling up a multilingual vision and language model
X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ...
arXiv preprint arXiv:2305.18565, 2023
732023
Bottom-up instance segmentation using deep higher-order crfs
A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2016
722016
Holistic, Instance-Level Human Parsing
Q Li, A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2017
652017
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