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2020 – today
- 2024
[j7]Isabelle Scott
, David Connell, Derek E. 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: 107872 (2024)- [c42]Seokju Cho, Heeseong Shin, Sunghwan Hong, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim:
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation. CVPR 2024: 4113-4123 - [c41]Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab:
Time-, Memory- and Parameter-Efficient Visual Adaptation. CVPR 2024: 5536-5545 - [c40]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CVPR 2024: 13030-13039 - [c39]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:
On Scaling Up a Multilingual Vision and Language Model. CVPR 2024: 14432-14444 - [c38]Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CVPR 2024: 18243-18252 - [c37]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. CVPR 2024: 18373-18383 - [c36]Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo:
VicTR: Video-conditioned Text Representations for Activity Recognition. CVPR 2024: 18547-18558 - [c35]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. IGARSS 2024: 7066-7070 - [i48]Otniel-Bogdan Mercea, Alexey A. Gritsenko, Cordelia Schmid, Anurag Arnab:
Time-, Memory- and Parameter-Efficient Visual Adaptation. CoRR abs/2402.02887 (2024) - [i47]Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CoRR abs/2404.01297 (2024) - [i46]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 abs/2406.18554 (2024) - [i45]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 abs/2407.19985 (2024) - [i44]Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim:
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels. CoRR abs/2409.19846 (2024) - 2023
- [j6]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): 5712-5730 (2023) - [j5]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) - [c34]Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
How can objects help action recognition? CVPR 2023: 2353-2362 - [c33]Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab:
Token Turing Machines. CVPR 2023: 19070-19081 - [c32]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: 13577-13587 - [c31]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. ICCV 2023: 16098-16108 - [c30]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: 7480-7512 - [c29]Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You:
Adaptive Computation with Elastic Input Sequence. ICML 2023: 38971-38988 - [c28]Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid:
Does Visual Pretraining Help End-to-End Reasoning? NeurIPS 2023 - [i43]Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You:
Adaptive Computation with Elastic Input Sequence. CoRR abs/2301.13195 (2023) - [i42]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:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i41]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 abs/2303.11797 (2023) - [i40]Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani, Michael S. Ryoo:
VicTR: Video-conditioned Text Representations for Activity Recognition. CoRR abs/2304.02560 (2023) - [i39]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 abs/2304.12160 (2023) - [i38]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 abs/2305.18565 (2023) - [i37]Shreyank N. Gowda, Anurag Arnab, Jonathan Huang:
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition. CoRR abs/2306.04822 (2023) - [i36]Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
How can objects help action recognition? CoRR abs/2306.11726 (2023) - [i35]Xingyi Zhou, Anurag Arnab, Chen Sun, Cordelia Schmid:
Dense Video Object Captioning from Disjoint Supervision. CoRR abs/2306.11729 (2023) - [i34]Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid:
Does Visual Pretraining Help End-to-End Reasoning? CoRR abs/2307.08506 (2023) - [i33]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 abs/2308.11062 (2023) - [i32]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 abs/2312.02188 (2023) - [i31]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CoRR abs/2312.09237 (2023) - 2022
- [c27]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CVPR 2022: 3323-3333 - [c26]Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CVPR 2022: 4662-4671 - [c25]Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid:
End-to-end Generative Pretraining for Multimodal Video Captioning. CVPR 2022: 17938-17947 - [c24]Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay:
SCENIC: A JAX Library for Computer Vision Research and Beyond. CVPR 2022: 21361-21366 - [c23]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: 728-755 - [c22]Mostafa Dehghani, Yi Tay, Anurag Arnab, Lucas Beyer, Ashish Vaswani:
The Efficiency Misnomer. ICLR 2022 - [i30]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CoRR abs/2201.04288 (2022) - [i29]Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid:
End-to-end Generative Pretraining for Multimodal Video Captioning. CoRR abs/2201.08264 (2022) - [i28]Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CoRR abs/2202.02200 (2022) - [i27]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 abs/2205.06230 (2022) - [i26]Xuehan Xiong, Anurag Arnab, Arsha Nagrani, Cordelia Schmid:
M&M Mix: A Multimodal Multiview Transformer Ensemble. CoRR abs/2206.09852 (2022) - [i25]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 abs/2207.03807 (2022) - [i24]Li Zhang, Mohan Chen, Anurag Arnab, Xiangyang Xue, Philip H. S. Torr:
Dynamic Graph Message Passing Networks for Visual Recognition. CoRR abs/2209.09760 (2022) - [i23]Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab:
Token Turing Machines. CoRR abs/2211.09119 (2022) - [i22]Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab:
Audiovisual Masked Autoencoders. CoRR abs/2212.05922 (2022) - 2021
- [c21]Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. ICCV 2021: 6816-6826 - [c20]Anurag Arnab, Chen Sun, Cordelia Schmid:
Unified Graph Structured Models for Video Understanding. ICCV 2021: 8097-8106 - [c19]Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova:
TokenLearner: Adaptive Space-Time Tokenization for Videos. NeurIPS 2021: 12786-12797 - [c18]Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. NeurIPS 2021: 14200-14213 - [c17]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. NeurIPS 2021: 19538-19552 - [i21]Anurag Arnab, Chen Sun, Cordelia Schmid:
Unified Graph Structured Models for Video Understanding. CoRR abs/2103.15662 (2021) - [i20]Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. CoRR abs/2103.15691 (2021) - [i19]Michael S. Ryoo, A. J. Piergiovanni, Anurag Arnab, Mostafa Dehghani, Anelia Angelova:
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? CoRR abs/2106.11297 (2021) - [i18]Arsha Nagrani, Shan Yang, Anurag Arnab, Aren Jansen, Cordelia Schmid, Chen Sun:
Attention Bottlenecks for Multimodal Fusion. CoRR abs/2107.00135 (2021) - [i17]Kuang-Huei Lee, Anurag Arnab, Sergio Guadarrama, John F. Canny, Ian Fischer:
Compressive Visual Representations. CoRR abs/2109.12909 (2021) - [i16]Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay:
SCENIC: A JAX Library for Computer Vision Research and Beyond. CoRR abs/2110.11403 (2021) - [i15]Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay:
The Efficiency Misnomer. CoRR abs/2110.12894 (2021) - [i14]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 abs/2111.12993 (2021) - 2020
- [j4]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): 3040-3053 (2020) - [j3]Stuart Golodetz, Anurag Arnab, Irina Voiculescu, Stephen Cameron:
Simplifying TugGraph using zipping algorithms. Pattern Recognit. 103: 107257 (2020) - [c16]Erli Ouyang, Li Zhang, Mohan Chen, Anurag Arnab, Yanwei Fu:
Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection. ACCV (1) 2020: 349-364 - [c15]Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. CVPR 2020: 3723-3732 - [c14]Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. ECCV (10) 2020: 751-768 - [c13]Harkirat Singh Behl, Mohammad Najafi, Anurag Arnab, Philip H. S. Torr:
Meta-Learning Deep Visual Words for Fast Video Object Segmentation. IROS 2020: 8484-8491 - [i13]Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid:
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos. CoRR abs/2007.10703 (2020)
2010 – 2019
- 2019
- [b1]Anurag Arnab:
Pixel-level scene understanding with deep structured models. University of Oxford, UK, 2019 - [c12]Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr:
Dual Graph Convolutional Network for Semantic Segmentation. BMVC 2019: 254 - [c11]Anurag Arnab, Carl Doersch, Andrew Zisserman:
Exploiting Temporal Context for 3D Human Pose Estimation in the Wild. CVPR 2019: 3395-3404 - [i12]Anurag Arnab, Carl Doersch, Andrew Zisserman:
Exploiting temporal context for 3D human pose estimation in the wild. CoRR abs/1905.04266 (2019) - [i11]Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. CoRR abs/1908.06955 (2019) - [i10]Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr:
Dual Graph Convolutional Network for Semantic Segmentation. CoRR abs/1909.06121 (2019) - 2018
- [j2]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): 2610-2628 (2018) - [j1]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): 37-52 (2018) - [c10]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: 327-342 - [c9]Anurag Arnab, Ondrej Miksik, Philip H. S. Torr:
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. CVPR 2018: 888-897 - [c8]Qizhu Li, Anurag Arnab, Philip H. S. Torr:
Weakly- and Semi-supervised Panoptic Segmentation. ECCV (15) 2018: 106-124 - [i9]Qizhu Li, Anurag Arnab, Philip H. S. Torr:
Weakly- and Semi-Supervised Panoptic Segmentation. CoRR abs/1808.03575 (2018) - 2017
- [c7]Qizhu Li, Anurag Arnab, Philip H. S. Torr:
Holistic, Instance-level Human Parsing. BMVC 2017 - [c6]Anurag Arnab, Philip H. S. Torr:
Pixelwise Instance Segmentation with a Dynamically Instantiated Network. CVPR 2017: 879-888 - [c5]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: 564-579 - [i8]Måns Larsson, Fredrik Kahl, Shuai Zheng, Anurag Arnab, Philip H. S. Torr, Richard I. Hartley:
Learning Arbitrary Potentials in CRFs with Gradient Descent. CoRR abs/1701.06805 (2017) - [i7]Anurag Arnab, Philip H. S. Torr:
Pixelwise Instance Segmentation with a Dynamically Instantiated Network. CoRR abs/1704.02386 (2017) - [i6]Qizhu Li, Anurag Arnab, Philip H. S. Torr:
Holistic, Instance-Level Human Parsing. CoRR abs/1709.03612 (2017) - [i5]Anurag Arnab, Ondrej Miksik, Philip H. S. Torr:
On the Robustness of Semantic Segmentation Models to Adversarial Attacks. CoRR abs/1711.09856 (2017) - 2016
- [c4]Anurag Arnab, Philip H. S. Torr:
Bottom-up Instance Segmentation using Deep Higher-Order CRFs. BMVC 2016 - [c3]Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr:
Higher Order Conditional Random Fields in Deep Neural Networks. ECCV (2) 2016: 524-540 - [i4]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 abs/1601.02220 (2016) - [i3]Anurag Arnab, Philip H. S. Torr:
Bottom-up Instance Segmentation using Deep Higher-Order CRFs. CoRR abs/1609.02583 (2016) - 2015
- [c2]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: 40.1-40.12 - [c1]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: 22:1 - [i2]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 abs/1510.03727 (2015) - [i1]Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip H. S. Torr:
Higher Order Potentials in End-to-End Trainable Conditional Random Fields. CoRR abs/1511.08119 (2015)
Coauthor Index
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