Anurag Arnab

114 papers A* 33A 5C 2Journal 64Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Continual Learning in Vision-Language Models via Aligned Model Merging.
CoRR
Ghada Sokar, Gintare Karolina Dziugaite, Anurag Arnab, Ahmet Iscen, Pablo Samuel Castro, Cordelia Schmid
2025 A* conf
Dense Video Object Captioning from Disjoint Supervision.
ICLR
Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid
2025 A* conf
Flexible Frame Selection for Efficient Video Reasoning.
CVPR
Shyamal Buch, Arsha Nagrani, Anurag Arnab, Cordelia Schmid
2025 J jnl
From Image to Video: An Empirical Study of Diffusion Representations.
CoRR
Pedro Vélez, Luisa F. Polanía, Yi Yang, Chuhan Zhang, Rishabh Kabra, Anurag Arnab, Mehdi S. M. Sajjadi
2025 — conf
OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models.
EMNLP (Findings)
Monika Wysoczanska, Shyamal Buch, Anurag Arnab, Cordelia Schmid
2025 J jnl
OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models.
CoRR
Monika Wysoczanska, Shyamal Buch, Anurag Arnab, Cordelia Schmid
2025 J jnl
Progressive Data Dropout: An Embarrassingly Simple Approach to Faster Training.
CoRR
Shriram M. S, Xinyue Hao, Shihao Hou, Yang Lu, Laura Sevilla-Lara, Anurag Arnab, Shreyank N. Gowda
2025 J jnl
Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers.
CoRR
Chaehyun Kim, Heeseong Shin, Eunbeen Hong, Heeji Yoon, Anurag Arnab, Paul Hongsuck Seo, Sunghwan Hong, Seungryong Kim
2025 J jnl
Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames.
CoRR
Anurag Arnab, Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2025 J jnl
What Are You Doing? A Closer Look at Controllable Human Video Generation.
CoRR
Emanuele Bugliarello, Anurag Arnab, Roni Paiss, Pieter-Jan Kindermans, Cordelia Schmid
2024 J jnl
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
Isabelle Scott, David Connell, Derek E. Moulton, Sarah Waters, Ana Namburete, Anurag Arnab, Peter Malliaras
2024 A* conf
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.
CVPR
Seokju Cho, Heeseong Shin, Sunghwan Hong, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
2024 A* conf
End-to-End Spatio-Temporal Action Localisation with Video Transformers.
CVPR
Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab
2024 A* conf
Mixture of Nested Experts: Adaptive Processing of Visual Tokens.
NeurIPS
Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
2024 J jnl
Mixture of Nested Experts: Adaptive Processing of Visual Tokens.
CoRR
Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
2024 A* conf
On Scaling Up a Multilingual Vision and Language Model.
CVPR
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
2024 — conf
Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition.
ECCV (10)
Shreyank N. Gowda, Anurag Arnab, Jonathan Huang
2024 C conf
PLANTED: A Dataset for Planted Forest Identification from Multi-Satellite Time Series.
IGARSS
Luis Miguel Pazos-Outón, Cristina Nader Vasconcelos, Anton Raichuk, Anurag Arnab, Dan Morris, Maxim Neumann
2024 A* conf
Pixel Aligned Language Models.
CVPR
Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid
2024 J jnl
Planted: a dataset for planted forest identification from multi-satellite time series.
CoRR
Luis Miguel Pazos-Outón, Cristina Nader Vasconcelos, Anton Raichuk, Anurag Arnab, Dan Morris, Maxim Neumann
2024 J jnl
Principles of Visual Tokens for Efficient Video Understanding.
CoRR
Xinyue Hao, Gen Li, Shreyank N. Gowda, Robert B. Fisher, Jonathan Huang, Anurag Arnab, Laura Sevilla-Lara
2024 A* conf
Streaming Dense Video Captioning.
CVPR
Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid
2024 J jnl
Streaming Dense Video Captioning.
CoRR
Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid
2024 A* conf
Time-, Memory- and Parameter-Efficient Visual Adaptation.
CVPR
Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab
2024 J jnl
Time-, Memory- and Parameter-Efficient Visual Adaptation.
CoRR
Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab
2024 A* conf
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels.
NeurIPS
Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
2024 J jnl
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels.
CoRR
Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
2024 J jnl
Towards Optimal Adapter Placement for Efficient Transfer Learning.
CoRR
Aleksandra Irena Nowak, Otniel-Bogdan Mercea, Anurag Arnab, Jonas Pfeiffer, Yann N. Dauphin, Utku Evci
2024 A* conf
VIEWS: Entity-Aware News Video Captioning.
EMNLP
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
2024 A* conf
VicTR: Video-conditioned Text Representations for Activity Recognition.
CVPR
Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo
2023 A* conf
Adaptive Computation with Elastic Input Sequence.
ICML
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
2023 J jnl
Adaptive Computation with Elastic Input Sequence.
CoRR
Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You
2023 A* conf
Audiovisual Masked Autoencoders.
ICCV
Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
2023 J jnl
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation.
CoRR
Seokju Cho, Heeseong Shin, Sunghwan Hong, Seungjun An, Seungjun Lee, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
2023 J jnl
Dense Video Object Captioning from Disjoint Supervision.
CoRR
Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid
2023 A* conf
Does Visual Pretraining Help End-to-End Reasoning?
NeurIPS
Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid
2023 J jnl
Does Visual Pretraining Help End-to-End Reasoning?
CoRR
Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid
2023 J jnl
Dynamic Graph Message Passing Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr
2023 J jnl
End-to-End Spatio-Temporal Action Localisation with Video Transformers.
CoRR
Alexey A. Gritsenko, Xuehan Xiong, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid, Anurag Arnab
2023 A* conf
How can objects help action recognition?
CVPR
Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid
2023 J jnl
How can objects help action recognition?
CoRR
Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid
2023 J jnl
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition.
CoRR
Shreyank N. Gowda, Anurag Arnab, Jonathan Huang
2023 J jnl
PaLI-X: On Scaling up a Multilingual Vision and Language Model.
CoRR
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
2023 J jnl
Pixel Aligned Language Models.
CoRR
Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid
2023 J jnl
PolyViT: Co-training Vision Transformers on Images, Videos and Audio.
Trans. Mach. Learn. Res.
Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski, Mario Lucic, Yi Tay, Mostafa Dehghani
2023 A* conf
Scaling Vision Transformers to 22 Billion Parameters.
ICML
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
2023 J jnl
Scaling Vision Transformers to 22 Billion Parameters.
CoRR
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 Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
2023 A* conf
Token Turing Machines.
CVPR
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
2023 A* conf
UnLoc: A Unified Framework for Video Localization Tasks.
ICCV
Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid
2023 J jnl
UnLoc: A Unified Framework for Video Localization Tasks.
CoRR
Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid
2023 J jnl
VicTR: Video-conditioned Text Representations for Activity Recognition.
CoRR
Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo
2023 J jnl
Video Summarization: Towards Entity-Aware Captions.
CoRR
Hammad A. Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, Feng Han, Yukun Zhu, Jialu Liu, Shih-Fu Chang
2022 J jnl
Audiovisual Masked Autoencoders.
CoRR
Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
2022 J jnl
Beyond Transfer Learning: Co-finetuning for Action Localisation.
CoRR
Anurag Arnab, Xuehan Xiong, Alexey A. Gritsenko, Rob Romijnders, Josip Djolonga, Mostafa Dehghani, Chen Sun, Mario Lucic, Cordelia Schmid
2022 J jnl
Dynamic Graph Message Passing Networks for Visual Recognition.
CoRR
Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr
2022 A* conf
End-to-end Generative Pretraining for Multimodal Video Captioning.
CVPR
Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid
2022 J jnl
End-to-end Generative Pretraining for Multimodal Video Captioning.
CoRR
Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid
2022 A* conf
Learning with Neighbor Consistency for Noisy Labels.
CVPR
Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid
2022 J jnl
Learning with Neighbor Consistency for Noisy Labels.
CoRR
Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid
2022 J jnl
M&M Mix: A Multimodal Multiview Transformer Ensemble.
CoRR
Xuehan Xiong, Anurag Arnab, Arsha Nagrani, Cordelia Schmid
2022 A* conf
Multiview Transformers for Video Recognition.
CVPR
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
2022 J jnl
Multiview Transformers for Video Recognition.
CoRR
Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid
2022 A* conf
SCENIC: A JAX Library for Computer Vision Research and Beyond.
CVPR
Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay
2022 J jnl
Simple Open-Vocabulary Object Detection with Vision Transformers.
CoRR
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
2022 — conf
Simple Open-Vocabulary Object Detection.
ECCV (10)
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
2022 A* conf
The Efficiency Misnomer.
ICLR
Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani
2022 J jnl
Token Turing Machines.
CoRR
Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab
2021 A* conf
Attention Bottlenecks for Multimodal Fusion.
NeurIPS
Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun
2021 J jnl
Attention Bottlenecks for Multimodal Fusion.
CoRR
Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun
2021 A* conf
Compressive Visual Representations.
NeurIPS
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
2021 J jnl
Compressive Visual Representations.
CoRR
Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer
2021 J jnl
PolyViT: Co-training Vision Transformers on Images, Videos and Audio.
CoRR
Valerii Likhosherstov, Anurag Arnab, Krzysztof Choromanski, Mario Lucic, Yi Tay, Adrian Weller, Mostafa Dehghani
2021 J jnl
SCENIC: A JAX Library for Computer Vision Research and Beyond.
CoRR
Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay
2021 J jnl
The Efficiency Misnomer.
CoRR
Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay
2021 A* conf
TokenLearner: Adaptive Space-Time Tokenization for Videos.
NeurIPS
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
2021 J jnl
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
CoRR
Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova
2021 A* conf
Unified Graph Structured Models for Video Understanding.
ICCV
Anurag Arnab, Chen Sun, Cordelia Schmid
2021 J jnl
Unified Graph Structured Models for Video Understanding.
CoRR
Anurag Arnab, Chen Sun, Cordelia Schmid
2021 A* conf
ViViT: A Video Vision Transformer.
ICCV
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid
2021 J jnl
ViViT: A Video Vision Transformer.
CoRR
Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid
2020 — conf
Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection.
ACCV (1)
Erli Ouyang, Li Zhang, Mohan Chen, Anurag Arnab, Yanwei Fu
2020 A* conf
Dynamic Graph Message Passing Networks.
CVPR
Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr
2020 A conf
Meta-Learning Deep Visual Words for Fast Video Object Segmentation.
IROS
Harkirat Singh Behl, Mohammad Najafi, Anurag Arnab, Philip H. S. Torr
2020 J jnl
On the Robustness of Semantic Segmentation Models to Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell.
Anurag Arnab, Ondrej Miksik, Philip H. S. Torr
2020 J jnl
Simplifying TugGraph using zipping algorithms.
Pattern Recognit.
Stuart Golodetz, Anurag Arnab, Irina Voiculescu, Stephen Cameron
2020 — conf
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos.
ECCV (10)
Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid
2020 J jnl
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos.
CoRR
Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid
2019 A conf
Dual Graph Convolutional Network for Semantic Segmentation.
BMVC
Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr
2019 J jnl
Dual Graph Convolutional Network for Semantic Segmentation.
CoRR
Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr
2019 J jnl
Dynamic Graph Message Passing Networks.
CoRR
Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr
2019 A* conf
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild.
CVPR
Anurag Arnab, Carl Doersch, Andrew Zisserman
2019 J jnl
Exploiting temporal context for 3D human pose estimation in the wild.
CoRR
Anurag Arnab, Carl Doersch, Andrew Zisserman
2019 — —
Pixel-level scene understanding with deep structured models.
Anurag Arnab
2018 J jnl
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.
IEEE Signal Process. Mag.
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H. S. Torr
2018 C conf
Deep Fully-Connected Part-Based Models for Human Pose Estimation.
ACML
Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr
2018 A* conf
On the Robustness of Semantic Segmentation Models to Adversarial Attacks.
CVPR
Anurag Arnab, Ondrej Miksik, Philip H. S. Torr
2018 J jnl
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.
SIAM J. Imaging Sci.
Måns Larsson, Anurag Arnab, Shuai Zheng, Philip H. S. Torr, Fredrik Kahl
2018 J jnl
Weakly- and Semi-Supervised Panoptic Segmentation.
CoRR
Qizhu Li, Anurag Arnab, Philip H. S. Torr
2018 — conf
Weakly- and Semi-supervised Panoptic Segmentation.
ECCV (15)
Qizhu Li, Anurag Arnab, Philip H. S. Torr
2017 — conf
A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials.
EMMCVPR
Måns Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, Philip H. S. Torr
2017 J jnl
Holistic, Instance-Level Human Parsing.
CoRR
Qizhu Li, Anurag Arnab, Philip H. S. Torr
2017 A conf
Holistic, Instance-level Human Parsing.
BMVC
Qizhu Li, Anurag Arnab, Philip H. S. Torr
2017 J jnl
Learning Arbitrary Potentials in CRFs with Gradient Descent.
CoRR
Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley
2017 J jnl
On the Robustness of Semantic Segmentation Models to Adversarial Attacks.
CoRR
Anurag Arnab, Ondrej Miksik, Philip H. S. Torr
2017 A* conf
Pixelwise Instance Segmentation with a Dynamically Instantiated Network.
CVPR
Anurag Arnab, Philip H. S. Torr
2017 J jnl
Pixelwise Instance Segmentation with a Dynamically Instantiated Network.
CoRR
Anurag Arnab, Philip H. S. Torr
2016 A conf
Bottom-up Instance Segmentation using Deep Higher-Order CRFs.
BMVC
Anurag Arnab, Philip H. S. Torr
2016 J jnl
Bottom-up Instance Segmentation using Deep Higher-Order CRFs.
CoRR
Anurag Arnab, Philip H. S. Torr
2016 — conf
Higher Order Conditional Random Fields in Deep Neural Networks.
ECCV (2)
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
2016 J jnl
Joint Object-Material Category Segmentation from Audio-Visual Cues.
CoRR
Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien P. C. Valentin, Ondrej Miksik, Shahram Izadi, Philip H. S. Torr
2015 J jnl
Higher Order Potentials in End-to-End Trainable Conditional Random Fields.
CoRR
Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr
2015 A conf
Joint Object-Material Category Segmentation from Audio-Visual Cues.
BMVC
Anurag Arnab, Michael Sapienza, Stuart Golodetz, Julien P. C. Valentin, Ondrej Miksik, Shahram Izadi, Philip H. S. Torr
2015 J jnl
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes.
CoRR
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
2015 — conf
SemanticPaint: interactive segmentation and learning of 3D worlds.
SIGGRAPH Emerging Technologies
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