Anurag Arnab

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 84

Top Topics

Object Detection

Visual Representations

Human Pose Estimation

Top Venues

Publications

Isabelle Scott, David Connell, Derek Moulton, Sarah Waters, Ana Namburete, Anurag Arnab, Peter Malliaras
An automated method for tendon image segmentation on ultrasound using grey-level co-occurrence matrix features and hidden Gaussian Markov random fields. Comput. Biol. Medicine 169 (2024)
Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid
Streaming Dense Video Captioning. CoRR (2024)
Luis Miguel Pazos-Outón, Cristina Nader Vasconcelos, Anton Raichuk, Anurag Arnab, Dan Morris, Maxim Neumann
Planted: a dataset for planted forest identification from multi-satellite time series. CoRR (2024)
Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
Mixture of Nested Experts: Adaptive Processing of Visual Tokens. CoRR (2024)
Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab
Time-, Memory- and Parameter-Efficient Visual Adaptation. CoRR (2024)
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
Adaptive Computation with Elastic Input Sequence. CoRR (2023)
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
Adaptive Computation with Elastic Input Sequence. ICML (2023)
Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid
Does Visual Pretraining Help End-to-End Reasoning? NeurIPS (2023)
Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid
How can objects help action recognition? CVPR (2023)
Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid
UnLoc: A Unified Framework for Video Localization Tasks. CoRR (2023)
Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr
Dynamic Graph Message Passing Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. CoRR (2023)
Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid
Dense Video Object Captioning from Disjoint Supervision. CoRR (2023)
Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid
Pixel Aligned Language Models. CoRR (2023)
Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Jialu Liu, Shih-Fu Chang
Video Summarization: Towards Entity-Aware Captions. CoRR (2023)
Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski, Mario Lucic, Yi Tay, Mostafa Dehghani
PolyViT: Co-training Vision Transformers on Images, Videos and Audio. Trans. Mach. Learn. Res. 2023 (2023)
Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. CoRR (2023)
Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid
How can objects help action recognition? CoRR (2023)
Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab
End-to-End Spatio-Temporal Action Localisation with Video Transformers. CoRR (2023)
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. ICML (2023)
Shreyank N. Gowda, Anurag Arnab, Jonathan Huang
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition. CoRR (2023)
Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR (2023)
Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid
Does Visual Pretraining Help End-to-End Reasoning? CoRR (2023)
Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid
UnLoc: A Unified Framework for Video Localization Tasks. ICCV (2023)
Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
Audiovisual Masked Autoencoders. ICCV (2023)
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
Token Turing Machines. CVPR (2023)
Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo
VicTR: Video-conditioned Text Representations for Activity Recognition. CoRR (2023)
Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
Simple Open-Vocabulary Object Detection with Vision Transformers. CoRR (2022)
Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
Audiovisual Masked Autoencoders. CoRR (2022)
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
Token Turing Machines. CoRR (2022)
Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid
End-to-end Generative Pretraining for Multimodal Video Captioning. CVPR (2022)
Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
Simple Open-Vocabulary Object Detection. ECCV (10) (2022)
Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani
The Efficiency Misnomer. ICLR (2022)
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
Multiview Transformers for Video Recognition. CoRR (2022)
Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid
End-to-end Generative Pretraining for Multimodal Video Captioning. CoRR (2022)
Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid
Learning with Neighbor Consistency for Noisy Labels. CoRR (2022)
Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr
Dynamic Graph Message Passing Networks for Visual Recognition. CoRR (2022)
Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay
SCENIC: A JAX Library for Computer Vision Research and Beyond. CVPR (2022)
Xuehan Xiong, Anurag Arnab, Arsha Nagrani, Cordelia Schmid
M&M Mix: A Multimodal Multiview Transformer Ensemble. CoRR (2022)
Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid
Learning with Neighbor Consistency for Noisy Labels. CVPR (2022)
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
Multiview Transformers for Video Recognition. CVPR (2022)
Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid
Beyond Transfer Learning: Co-finetuning for Action Localisation. CoRR (2022)
Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun
Attention Bottlenecks for Multimodal Fusion. CoRR (2021)
Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, Mostafa Dehghani
PolyViT: Co-training Vision Transformers on Images, Videos and Audio. CoRR (2021)
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR (2021)
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS (2021)
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
Compressive Visual Representations. CoRR (2021)
Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay
The Efficiency Misnomer. CoRR (2021)
Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay
SCENIC: A JAX Library for Computer Vision Research and Beyond. CoRR (2021)
Anurag Arnab, Chen Sun, Cordelia Schmid
Unified Graph Structured Models for Video Understanding. ICCV (2021)
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid
ViViT: A Video Vision Transformer. CoRR (2021)
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid
ViViT: A Video Vision Transformer. ICCV (2021)
Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun
Attention Bottlenecks for Multimodal Fusion. NeurIPS (2021)
Anurag Arnab, Chen Sun, Cordelia Schmid
Unified Graph Structured Models for Video Understanding. CoRR (2021)
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
Compressive Visual Representations. NeurIPS (2021)
Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. CoRR (2020)
Stuart Golodetz, Anurag Arnab, Irina Voiculescu, Stephen Cameron
Simplifying TugGraph using zipping algorithms. Pattern Recognit. 103 (2020)
Erli Ouyang, Li Zhang, Mohan Chen, Anurag Arnab, Yanwei Fu
Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection. ACCV (1) (2020)
Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. ECCV (10) (2020)
Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr
Dynamic Graph Message Passing Networks. CVPR (2020)
Harkirat Singh Behl, Mohammad Najafi, Anurag Arnab, Philip H. S. Torr
Meta-Learning Deep Visual Words for Fast Video Object Segmentation. IROS (2020)
Anurag Arnab, Ondrej Miksik, Philip H. S. Torr
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 42 (12) (2020)
Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr
Dual Graph Convolutional Network for Semantic Segmentation. BMVC (2019)
Anurag Arnab, Carl Doersch, Andrew Zisserman
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. CVPR (2019)
Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr
Dynamic Graph Message Passing Networks. CoRR (2019)
Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr
Dual Graph Convolutional Network for Semantic Segmentation. CoRR (2019)
Anurag Arnab, Carl Doersch, Andrew Zisserman
Exploiting temporal context for 3D human pose estimation in the wild. CoRR (2019)
Qizhu Li, Anurag Arnab, Philip H. S. Torr
Weakly- and Semi-supervised Panoptic Segmentation. ECCV (15) (2018)
Qizhu Li, Anurag Arnab, Philip H. S. Torr
Weakly- and Semi-Supervised Panoptic Segmentation. CoRR (2018)
Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr
Deep Fully-Connected Part-Based Models for Human Pose Estimation. ACML (2018)
Anurag Arnab, Ondrej Miksik, Philip H. S. Torr
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. CVPR (2018)
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction. IEEE Signal Process. Mag. 35 (1) (2018)
Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. SIAM J. Imaging Sci. 11 (4) (2018)
Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials. EMMCVPR (2017)
Qizhu Li, Anurag Arnab, Philip H. S. Torr
Holistic, Instance-level Human Parsing. BMVC (2017)
Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR (2017)
Qizhu Li, Anurag Arnab, Philip H. S. Torr
Holistic, Instance-Level Human Parsing. CoRR (2017)
Anurag Arnab, Philip H. S. Torr
Pixelwise Instance Segmentation with a Dynamically Instantiated Network. CoRR (2017)
Anurag Arnab, Philip H. S. Torr
Pixelwise Instance Segmentation with a Dynamically Instantiated Network. CVPR (2017)
Anurag Arnab, Ondrej Miksik, Philip H. S. Torr
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. CoRR (2017)
Anurag Arnab, Philip H. S. Torr
Bottom-up Instance Segmentation using Deep Higher-Order CRFs. BMVC (2016)
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
Higher Order Conditional Random Fields in Deep Neural Networks. ECCV (2) (2016)
Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien P. C. Valentin, Ondrej Miksik, Shahram Izadi, Philip H. S. Torr
Joint Object-Material Category Segmentation from Audio-Visual Cues. CoRR (2016)
Anurag Arnab, Philip H. S. Torr
Bottom-up Instance Segmentation using Deep Higher-Order CRFs. CoRR (2016)
Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien P. C. Valentin, Ondrej Miksik, Shahram Izadi, Philip H. S. Torr
Joint Object-Material Category Segmentation from Audio-Visual Cues. BMVC (2015)
Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, Anurag Arnab, Stephen L. Hicks, David William Murray, Shahram Izadi, Philip H. S. Torr
SemanticPaint: interactive segmentation and learning of 3D worlds. SIGGRAPH Emerging Technologies (2015)
Stuart Golodetz, Michael Sapienza, Julien P. C. Valentin, Vibhav Vineet, Ming-Ming Cheng, Anurag Arnab, Victor Adrian Prisacariu, Olaf Kähler, Carl Yuheng Ren, David William Murray, Shahram Izadi, Philip H. S. Torr
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes. CoRR (2015)
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
Higher Order Potentials in End-to-End Trainable Conditional Random Fields. CoRR (2015)