Anurag Arnab
Anurag Arnab
Verified email at eng.ox.ac.uk - Homepage
TitleCited byYear
Higher order conditional random fields in deep neural networks
A Arnab, S Jayasumana, S Zheng, PHS Torr
European Conference on Computer Vision, 524-540, 2016
174*2016
Pixelwise instance segmentation with a dynamically instantiated network
A Arnab, PHS Torr
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
922017
On the robustness of semantic segmentation models to adversarial attacks
A Arnab, O Miksik, PHS Torr
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 888-897, 2018
532018
Weakly-and Semi-Supervised Panoptic Segmentation
Q Li, A Arnab, PHS Torr
Proceedings of the European Conference on Computer Vision (ECCV), 102-118, 2018
382018
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
362018
Bottom-up instance segmentation using deep higher-order crfs
A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2016
302016
Holistic, Instance-Level Human Parsing
Q Li, A Arnab, PHS Torr
Proceedings of the British Machine Vision Conference (BMVC), 2017
212017
A projected gradient descent method for CRF inference allowing end-to-end training of arbitrary pairwise potentials
M Larsson, A Arnab, F Kahl, S Zheng, P Torr
International Conference on Energy Minimization Methods in Computer Vision …, 2017
13*2017
Semanticpaint: interactive segmentation and learning of 3d worlds
S Golodetz, M Sapienza, JPC Valentin, V Vineet, MM Cheng, ...
ACM SIGGRAPH 2015 Emerging Technologies, 22, 2015
112015
Joint object-material category segmentation from audio-visual cues
A Arnab, M Sapienza, S Golodetz, J Valentin, O Miksik, S Izadi, P Torr
Proceedings of the British Machine Vision Conference (BMVC), 2015
92015
Exploiting temporal context for 3D human pose estimation in the wild
A Arnab, C Doersch, A Zisserman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
82019
SemanticPaint: a framework for the interactive segmentation of 3D scenes
S Golodetz, M Sapienza, JPC Valentin, V Vineet, MM Cheng, A Arnab, ...
arXiv preprint arXiv:1510.03727, 2015
82015
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference
M Larsson, A Arnab, S Zheng, P Torr, F Kahl
SIAM Journal on Imaging Sciences 11 (4), 2610-2628, 2018
52018
Dual graph convolutional network for semantic segmentation
L Zhang, X Li, A Arnab, K Yang, Y Tong, PHS Torr
arXiv preprint arXiv:1909.06121, 2019
32019
Meta learning deep visual words for fast video object segmentation
HS Behl, M Najafi, A Arnab, PHS Torr
arXiv preprint arXiv:1812.01397, 2018
32018
Deep fully-connected part-based models for human pose estimation
R de Bem, A Arnab, S Golodetz, M Sapienza, P Torr
Asian Conference on Machine Learning, 327-342, 2018
32018
Dynamic Graph Message Passing Networks
L Zhang, D Xu, A Arnab, PHS Torr
arXiv preprint arXiv:1908.06955, 2019
22019
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference
P Torr, M Larsson, A Arnab, S Zheng, F Kahl
SIAM Journal on Imaging Sciences, 2018
2018
Supplementary Material: Exploiting temporal context for 3D human pose estimation in the wild
A Arnab, C Doersch, A Zisserman
Supplementary Material: On the Robustness of Semantic Segmentation Models to Adversarial Attacks
A Arnab, O Miksik, PHS Torr
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Articles 1–20