Anurag Arnab

According to our database, Anurag Arnab authored at least 69 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An automated method for tendon image segmentation on ultrasound using grey-level co-occurrence matrix features and hidden Gaussian Markov random fields.

Isabelle Scott, David Connell, Derek E. Moulton, Sarah Waters, Ana Namburete, Anurag Arnab, Peter Malliaras

Comput. Biol. Medicine, February, 2024

Principles of Visual Tokens for Efficient Video Understanding.

Xinyue Hao, Gen Li, Shreyank N. Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara

CoRR, 2024

Towards Optimal Adapter Placement for Efficient Transfer Learning.

Aleksandra Irena Nowak, Otniel-Bogdan Mercea, Anurag Arnab, Jonas Pfeiffer, Yann N. Dauphin, Utku Evci

CoRR, 2024

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels.

Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

CoRR, 2024

Mixture of Nested Experts: Adaptive Processing of Visual Tokens.

Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul

CoRR, 2024

PLANTED: A Dataset for Planted Forest Identification from Multi-Satellite Time Series.

Luis Miguel Pazos-Outón, Cristina Nader Vasconcelos, Anton Raichuk, Anurag Arnab, Dan Morris, Maxim Neumann

Proceedings of the IGARSS 2024, 2024

VIEWS: Entity-Aware News Video Captioning.

Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Xuande Feng, Kevin Zhang, Jialu Liu, Shih-Fu Chang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition.

Shreyank N. Gowda, Anurag Arnab, Jonathan Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

Streaming Dense Video Captioning.

Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Pixel Aligned Language Models.

Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Time-, Memory- and Parameter-Efficient Visual Adaptation.

Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VicTR: Video-conditioned Text Representations for Activity Recognition.

Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

End-to-End Spatio-Temporal Action Localisation with Video Transformers.

Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.

Seokju Cho, Heeseong Shin, Sunghwan Hong, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

On Scaling Up a Multilingual Vision and Language Model.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Dynamic Graph Message Passing Networks.

Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

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

Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski, Mario Lucic, Yi Tay, Mostafa Dehghani

Trans. Mach. Learn. Res., 2023

Video Summarization: Towards Entity-Aware Captions.

Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Jialu Liu, Shih-Fu Chang

CoRR, 2023

Dense Video Object Captioning from Disjoint Supervision.

Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid

CoRR, 2023

Optimizing ViViT Training: Time and Memory Reduction for Action Recognition.

Shreyank N. Gowda, Anurag Arnab, Jonathan Huang

CoRR, 2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

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

CoRR, 2023

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.

Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim

CoRR, 2023

Does Visual Pretraining Help End-to-End Reasoning?

Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Computation with Elastic Input Sequence.

Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You

Proceedings of the International Conference on Machine Learning, 2023

Scaling Vision Transformers to 22 Billion Parameters.

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

Proceedings of the International Conference on Machine Learning, 2023

UnLoc: A Unified Framework for Video Localization Tasks.

Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Audiovisual Masked Autoencoders.

Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

How can objects help action recognition?

Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Token Turing Machines.

Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dynamic Graph Message Passing Networks for Visual Recognition.

Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr

CoRR, 2022

Beyond Transfer Learning: Co-finetuning for Action Localisation.

Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid

CoRR, 2022

M&M Mix: A Multimodal Multiview Transformer Ensemble.

Xuehan Xiong, Anurag Arnab, Arsha Nagrani, Cordelia Schmid

CoRR, 2022

Simple Open-Vocabulary Object Detection with Vision Transformers.

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

CoRR, 2022

The Efficiency Misnomer.

Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani

Proceedings of the Tenth International Conference on Learning Representations, 2022

Simple Open-Vocabulary Object Detection.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Multiview Transformers for Video Recognition.

Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

End-to-end Generative Pretraining for Multimodal Video Captioning.

Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning with Neighbor Consistency for Noisy Labels.

Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCENIC: A JAX Library for Computer Vision Research and Beyond.

Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

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

CoRR, 2021

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

Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova

CoRR, 2021

TokenLearner: Adaptive Space-Time Tokenization for Videos.

Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Attention Bottlenecks for Multimodal Fusion.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Compressive Visual Representations.

Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unified Graph Structured Models for Video Understanding.

Anurag Arnab, Chen Sun, Cordelia Schmid

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ViViT: A Video Vision Transformer.

Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Simplifying TugGraph using zipping algorithms.

Stuart Golodetz, Anurag Arnab, Irina Voiculescu, Stephen Cameron

Pattern Recognit., 2020

On the Robustness of Semantic Segmentation Models to Adversarial Attacks.

Anurag Arnab, Ondrej Miksik, Philip H. S. Torr

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Meta-Learning Deep Visual Words for Fast Video Object Segmentation.

Harkirat Singh Behl, Mohammad Najafi, Anurag Arnab, Philip H. S. Torr

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos.

Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Graph Message Passing Networks.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection.

Erli Ouyang, Li Zhang, Mohan Chen, Anurag Arnab, Yanwei Fu

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Pixel-level scene understanding with deep structured models.

Anurag Arnab

PhD thesis, 2019

Exploiting Temporal Context for 3D Human Pose Estimation in the Wild.

Anurag Arnab, Carl Doersch, Andrew Zisserman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dual Graph Convolutional Network for Semantic Segmentation.

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

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.

Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr

IEEE Signal Process. Mag., 2018

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.

Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl

SIAM J. Imaging Sci., 2018

Weakly- and Semi-supervised Panoptic Segmentation.

Qizhu Li, Anurag Arnab, Philip H. S. Torr

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Fully-Connected Part-Based Models for Human Pose Estimation.

Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Learning Arbitrary Potentials in CRFs with Gradient Descent.

Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley

CoRR, 2017

A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials.

Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Pixelwise Instance Segmentation with a Dynamically Instantiated Network.

Anurag Arnab, Philip H. S. Torr

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Holistic, Instance-level Human Parsing.

Qizhu Li, Anurag Arnab, Philip H. S. Torr

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Higher Order Conditional Random Fields in Deep Neural Networks.

Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr

Proceedings of the Computer Vision - ECCV 2016, 2016

Bottom-up Instance Segmentation using Deep Higher-Order CRFs.

Anurag Arnab, Philip H. S. Torr

Proceedings of the British Machine Vision Conference 2016, 2016

2015

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

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

CoRR, 2015

Higher Order Potentials in End-to-End Trainable Conditional Random Fields.

Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr

CoRR, 2015

SemanticPaint: interactive segmentation and learning of 3D worlds.

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

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Joint Object-Material Category Segmentation from Audio-Visual Cues.

Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien P. C. Valentin, Ondrej Miksik, Shahram Izadi, Philip H. S. Torr

Proceedings of the British Machine Vision Conference 2015, 2015