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PolyViT: Co-training Vision Transformers on Images, Videos and Audio

Nov 25, 2021
Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, Mostafa Dehghani

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The Efficiency Misnomer

Oct 25, 2021
Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay

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SCENIC: A JAX Library for Computer Vision Research and Beyond

Oct 18, 2021
Mostafa Dehghani, Alexey Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay

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Compressive Visual Representations

Sep 29, 2021
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John Canny, Ian Fischer

* 27 pages, 4 figures, to appear at NeurIPS 2021 

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Attention Bottlenecks for Multimodal Fusion

Jun 30, 2021
Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun

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TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Jun 21, 2021
Michael S. Ryoo, AJ Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova

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ViViT: A Video Vision Transformer

Mar 29, 2021
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lučić, Cordelia Schmid

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Unified Graph Structured Models for Video Understanding

Mar 29, 2021
Anurag Arnab, Chen Sun, Cordelia Schmid

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Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos

Jul 21, 2020
Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid

* ECCV 2020 

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Dual Graph Convolutional Network for Semantic Segmentation

Sep 13, 2019
Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr

* accepted at BMVC 2019 

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Dynamic Graph Message Passing Networks

Aug 19, 2019
Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr

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Exploiting temporal context for 3D human pose estimation in the wild

May 10, 2019
Anurag Arnab, Carl Doersch, Andrew Zisserman

* CVPR 2019 

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Weakly- and Semi-Supervised Panoptic Segmentation

Aug 10, 2018
Qizhu Li, Anurag Arnab, Philip H. S Torr

* ECCV 2018. The first two authors contributed equally 

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On the Robustness of Semantic Segmentation Models to Adversarial Attacks

Jul 08, 2018
Anurag Arnab, Ondrej Miksik, Philip H. S. Torr

* CVPR 2018 extended version 

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A Projected Gradient Descent Method for CRF Inference allowing End-To-End Training of Arbitrary Pairwise Potentials

Jan 02, 2018
Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip Torr

* Presented at EMMCVPR 2017 conference 

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Holistic, Instance-Level Human Parsing

Sep 11, 2017
Qizhu Li, Anurag Arnab, Philip H. S. Torr

* Poster at BMVC 2017 

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Pixelwise Instance Segmentation with a Dynamically Instantiated Network

Apr 07, 2017
Anurag Arnab, Philip H. S Torr

* CVPR 2017 

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Bottom-up Instance Segmentation using Deep Higher-Order CRFs

Sep 08, 2016
Anurag Arnab, Philip H. S. Torr

* British Machine Vision Conference (BMVC) 2016 

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Higher Order Conditional Random Fields in Deep Neural Networks

Jul 29, 2016
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip Torr

* ECCV 2016 

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Joint Object-Material Category Segmentation from Audio-Visual Cues

Jan 10, 2016
Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien Valentin, Ondrej Miksik, Shahram Izadi, Philip Torr

* Published in British Machine Vision Conference (BMVC) 2015 

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SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes

Oct 13, 2015
Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Anurag Arnab, Victor A. Prisacariu, Olaf Kähler, Carl Yuheng Ren, David W. Murray, Shahram Izadi, Philip H. S. Torr

* 33 pages, Project:, Code: 

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