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 (BMVC, 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 001; Shahram Izadi; et al. (SIGGRAPH Emerging Technologies, 2015)

Higher Order Potentials in End-to-End Trainable Conditional Random Fields. - Anurag Arnab; Sadeep Jayasumana; Shuai Zheng 001; Philip H. S. Torr (CoRR, 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 001; Shahram Izadi; Philip H. S. Torr (CoRR, 2015)

Bottom-up Instance Segmentation using Deep Higher-Order CRFs. - Anurag Arnab; Philip H. S. Torr (BMVC, 2016)

Higher Order Conditional Random Fields in Deep Neural Networks. - Anurag Arnab; Sadeep Jayasumana; Shuai Zheng 001; Philip H. S. Torr (ECCV (2), 2016)

Holistic, Instance-level Human Parsing. - Qizhu Li; Anurag Arnab; Philip H. S. Torr (BMVC, 2017)

Pixelwise Instance Segmentation with a Dynamically Instantiated Network. - Anurag Arnab; Philip H. S. Torr (CVPR, 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 001; Philip H. S. Torr (EMMCVPR, 2017)

Learning Arbitrary Potentials in CRFs with Gradient Descent. - Måns Larsson; Fredrik Kahl; Shuai Zheng 001; Anurag Arnab; Philip H. S. Torr; Richard I. Hartley (CoRR, 2017)

Deep Fully-Connected Part-Based Models for Human Pose Estimation. - Rodrigo Andrade de Bem; Anurag Arnab; Stuart Golodetz; Michael Sapienza; Philip H. S. Torr (ACML, 2018)

Weakly- and Semi-supervised Panoptic Segmentation. - Qizhu Li; Anurag Arnab; Philip H. S. Torr (ECCV (15), 2018)

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. - Måns Larsson; Anurag Arnab; Shuai Zheng 001; Philip H. S. Torr; Fredrik Kahl (SIAM J. Imaging Sci., 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 001; Sadeep Jayasumana; Bernardino Romera-Paredes; Måns Larsson; Alexander Kirillov; Bogdan Savchynskyy; Carsten Rother; Fredrik Kahl; Philip H. S. Torr (IEEE Signal Process. Mag., 2018)

Dual Graph Convolutional Network for Semantic Segmentation. - Li Zhang 040; Xiangtai Li; Anurag Arnab; Kuiyuan Yang; Yunhai Tong; Philip H. S. Torr (BMVC, 2019)

Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. - Anurag Arnab; Carl Doersch; Andrew Zisserman (CVPR, 2019)

Pixel-level scene understanding with deep structured models. - Anurag Arnab (2019)

Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection. - Erli Ouyang; Li Zhang 040; Mohan Chen 001; Anurag Arnab; Yanwei Fu 001 (ACCV (1), 2020)

Dynamic Graph Message Passing Networks. - Li Zhang 040; Dan Xu 002; Anurag Arnab; Philip H. S. Torr (CVPR, 2020)

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. - Anurag Arnab; Chen Sun 002; Arsha Nagrani; Cordelia Schmid (ECCV (10), 2020)

Meta-Learning Deep Visual Words for Fast Video Object Segmentation. - Harkirat Singh Behl; Mohammad Najafi; Anurag Arnab; Philip H. S. Torr (IROS, 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)

Simplifying TugGraph using zipping algorithms. - Stuart Golodetz; Anurag Arnab; Irina Voiculescu; Stephen Cameron (Pattern Recognit., 2020)

ViViT: A Video Vision Transformer. - Anurag Arnab; Mostafa Dehghani 001; Georg Heigold; Chen Sun 002; Mario Lucic; Cordelia Schmid (ICCV, 2021)

Unified Graph Structured Models for Video Understanding. - Anurag Arnab; Chen Sun 002; Cordelia Schmid (ICCV, 2021)

Compressive Visual Representations. - Kuang-Huei Lee; Anurag Arnab; Sergio Guadarrama; John F. Canny; Ian Fischer (NeurIPS, 2021)

Attention Bottlenecks for Multimodal Fusion. - Arsha Nagrani; Shan Yang; Anurag Arnab; Aren Jansen; Cordelia Schmid; Chen Sun 002 (NeurIPS, 2021)

TokenLearner: Adaptive Space-Time Tokenization for Videos. - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (NeurIPS, 2021)

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? - Michael S. Ryoo; A. J. Piergiovanni; Anurag Arnab; Mostafa Dehghani 001; Anelia Angelova (CoRR, 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 001 (CoRR, 2021)

SCENIC: A JAX Library for Computer Vision Research and Beyond. - Mostafa Dehghani 001; Alexey A. Gritsenko; Anurag Arnab; Matthias Minderer; Yi Tay (CVPR, 2022)

Learning with Neighbor Consistency for Noisy Labels. - Ahmet Iscen; Jack Valmadre; Anurag Arnab; Cordelia Schmid (CVPR, 2022)

End-to-end Generative Pretraining for Multimodal Video Captioning. - Paul Hongsuck Seo; Arsha Nagrani; Anurag Arnab; Cordelia Schmid (CVPR, 2022)

Multiview Transformers for Video Recognition. - Shen Yan; Xuehan Xiong; Anurag Arnab; Zhichao Lu; Mi Zhang 002; Chen Sun 002; Cordelia Schmid (CVPR, 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 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 2022)

The Efficiency Misnomer. - Mostafa Dehghani 001; Yi Tay; Anurag Arnab; Lucas Beyer; Ashish Vaswani (ICLR, 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 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)

M&M Mix: A Multimodal Multiview Transformer Ensemble. - Xuehan Xiong; Anurag Arnab; Arsha Nagrani; Cordelia Schmid (CoRR, 2022)

Beyond Transfer Learning: Co-finetuning for Action Localisation. - Anurag Arnab; Xuehan Xiong; Alexey A. Gritsenko; Rob Romijnders; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid (CoRR, 2022)

Dynamic Graph Message Passing Networks for Visual Recognition. - Li Zhang 040; Mohan Chen 001; Anurag Arnab; Xiangyang Xue 001; Philip H. S. Torr (CoRR, 2022)

Token Turing Machines. - Michael S. Ryoo; Keerthana Gopalakrishnan; Kumara Kahatapitiya; Ted Xiao; Kanishka Rao; Austin Stone; Yao Lu 006; Julian Ibarz; Anurag Arnab (CVPR, 2023)

How can objects help action recognition? - Xingyi Zhou; Anurag Arnab; Chen Sun 002; Cordelia Schmid (CVPR, 2023)

Audiovisual Masked Autoencoders. - Mariana-Iuliana Georgescu; Eduardo Fonseca; Radu Tudor Ionescu; Mario Lucic; Cordelia Schmid; Anurag Arnab (ICCV, 2023)

UnLoc: A Unified Framework for Video Localization Tasks. - Shen Yan; Xuehan Xiong; Arsha Nagrani; Anurag Arnab; Zhonghao Wang; Weina Ge; David Ross 001; Cordelia Schmid (ICCV, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Adaptive Computation with Elastic Input Sequence. - Fuzhao Xue; Valerii Likhosherstov; Anurag Arnab; Neil Houlsby; Mostafa Dehghani 001; Yang You 001 (ICML, 2023)

Does Visual Pretraining Help End-to-End Reasoning? - Chen Sun 002; Calvin Luo; Xingyi Zhou; Anurag Arnab; Cordelia Schmid (NeurIPS, 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)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

Optimizing ViViT Training: Time and Memory Reduction for Action Recognition. - Shreyank N. Gowda; Anurag Arnab; Jonathan Huang (CoRR, 2023)

Video Summarization: Towards Entity-Aware Captions. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Jialu Liu; Shih-Fu Chang (CoRR, 2023)

PolyViT: Co-training Vision Transformers on Images, Videos and Audio. - Valerii Likhosherstov; Anurag Arnab; Krzysztof Marcin Choromanski; Mario Lucic; Yi Tay; Mostafa Dehghani 001 (Trans. Mach. Learn. Res., 2023)

Dynamic Graph Message Passing Networks. - Li Zhang 040; Mohan Chen 001; Anurag Arnab; Xiangyang Xue 001; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. - Seokju Cho; Heeseong Shin; Sunghwan Hong; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (CVPR, 2024)

End-to-End Spatio-Temporal Action Localisation with Video Transformers. - Alexey A. Gritsenko; Xuehan Xiong; Josip Djolonga; Mostafa Dehghani 001; Chen Sun 002; Mario Lucic; Cordelia Schmid; Anurag Arnab (CVPR, 2024)

VicTR: Video-conditioned Text Representations for Activity Recognition. - Kumara Kahatapitiya; Anurag Arnab; Arsha Nagrani; Michael S. Ryoo (CVPR, 2024)

Time-, Memory- and Parameter-Efficient Visual Adaptation. - Otniel-Bogdan Mercea; Alexey A. Gritsenko; Cordelia Schmid; Anurag Arnab (CVPR, 2024)

Pixel Aligned Language Models. - Jiarui Xu; Xingyi Zhou; Shen Yan; Xiuye Gu; Anurag Arnab; Chen Sun 002; Xiaolong Wang 004; Cordelia Schmid (CVPR, 2024)

Streaming Dense Video Captioning. - Xingyi Zhou; Anurag Arnab; Shyamal Buch; Shen Yan; Austin Myers; Xuehan Xiong; Arsha Nagrani; Cordelia Schmid (CVPR, 2024)

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition. - Shreyank N. Gowda; Anurag Arnab; Jonathan Huang (ECCV (10), 2024)

VIEWS: Entity-Aware News Video Captioning. - Hammad A. Ayyubi; Tianqi Liu 002; Arsha Nagrani; Xudong Lin 003; Mingda Zhang; Anurag Arnab; Feng Han; Yukun Zhu; Xuande Feng; Kevin Zhang; Jialu Liu; Shih-Fu Chang (EMNLP, 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 001; Maxim Neumann (IGARSS, 2024)

Mixture of Nested Experts: Adaptive Processing of Visual Tokens. - Gagan Jain; Nidhi Hegde 003; Aditya Kusupati; Arsha Nagrani; Shyamal Buch; Prateek Jain 002; Anurag Arnab; Sujoy Paul (NeurIPS, 2024)

Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels. - Heeseong Shin; Chaehyun Kim; Sunghwan Hong; Seokju Cho; Anurag Arnab; Paul Hongsuck Seo; Seungryong Kim (NeurIPS, 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)

Principles of Visual Tokens for Efficient Video Understanding. - Xinyue Hao; Gen Li 008; Shreyank N. Gowda; Robert B. Fisher; Jonathan Huang; Anurag Arnab; Laura Sevilla-Lara (CoRR, 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, 2024)

Flexible Frame Selection for Efficient Video Reasoning. - Shyamal Buch; Arsha Nagrani; Anurag Arnab; Cordelia Schmid (CVPR, 2025)

Dense Video Object Captioning from Disjoint Supervision. - Xingyi Zhou; Anurag Arnab; Chen Sun 002; Cordelia Schmid (ICLR, 2025)

From Image to Video: An Empirical Study of Diffusion Representations. - Pedro Vélez; Luisa F. Polanía; Yi Yang 007; Chuhan Zhang; Rishabh Kabra; Anurag Arnab; Mehdi S. M. Sajjadi (CoRR, 2025)

What Are You Doing? A Closer Look at Controllable Human Video Generation. - Emanuele Bugliarello; Anurag Arnab; Roni Paiss; Pieter-Jan Kindermans; Cordelia Schmid (CoRR, 2025)

Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training. - Shriram M. S; Xinyue Hao; Shihao Hou; Yang Lu 009; Laura Sevilla-Lara; Anurag Arnab; Shreyank N. Gowda (CoRR, 2025)

Continual Learning in Vision-Language Models via Aligned Model Merging. - Ghada Sokar; Gintare Karolina Dziugaite; Anurag Arnab; Ahmet Iscen; Pablo Samuel Castro; Cordelia Schmid (CoRR, 2025)

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames. - Anurag Arnab; Ahmet Iscen; Mathilde Caron; Alireza Fathi; Cordelia Schmid (CoRR, 2025)

OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models. - Monika Wysoczanska; Shyamal Buch; Anurag Arnab; Cordelia Schmid (CoRR, 2025)