Puneet Kumar Dokania

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 23

Top Topics

Weakly Supervised

Deformable Image Registration

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Jonathan Sadeghi, Blaine Rogers, James Gunn, Thomas Saunders, Sina Samangooei, Puneet Kumar Dokania, John Redford
A Step Towards Efficient Evaluation of Complex Perception Tasks in Simulation. CoRR (2021)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato
Continual Learning with Tiny Episodic Memories. CoRR (2019)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration. CoRR (2018)
Daniela Massiceti, N. Siddharth, Puneet Kumar Dokania, Philip H. S. Torr
FlipDial: A Generative Model for Two-Way Visual Dialogue. CVPR (2018)
Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H. S. Torr, Puneet Kumar Dokania
Multi-Agent Diverse Generative Adversarial Networks. CVPR (2018)
Daniela Massiceti, N. Siddharth, Puneet Kumar Dokania, Philip H. S. Torr
FlipDial: A Generative Model for Two-Way Visual Dialogue. CoRR (2018)
Arslan Chaudhry, Puneet Kumar Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. CoRR (2018)
Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Richard I. Hartley, Philip H. S. Torr
Proximal Mean-field for Neural Network Quantization. CoRR (2018)
Arslan Chaudhry, Puneet Kumar Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence. ECCV (11) (2018)
Arslan Chaudhry, Puneet Kumar Dokania, Philip H. S. Torr
Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation. BMVC (2017)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Deformable Registration through Learning of Context-Specific Metric Aggregation. CoRR (2017)
Arslan Chaudhry, Puneet Kumar Dokania, Philip H. S. Torr
Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation. CoRR (2017)
Enzo Ferrante, Puneet Kumar Dokania, Rafael Marini, Nikos Paragios
Deformable Registration Through Learning of Context-Specific Metric Aggregation. MLMI@MICCAI (2017)
Arnab Ghosh, Viveka Kulharia, Vinay P. Namboodiri, Philip H. S. Torr, Puneet Kumar Dokania
Multi-Agent Diverse Generative Adversarial Networks. CoRR (2017)
Qibin Hou, Daniela Massiceti, Puneet Kumar Dokania, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr
Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation. EMMCVPR (2017)
M. Pawan Kumar, Puneet Kumar Dokania
Rounding-based Moves for Semi-Metric Labeling. J. Mach. Learn. Res. 17 (2016)
Pritish Mohapatra, Puneet Kumar Dokania, C. V. Jawahar, M. Pawan Kumar
Partial Linearization Based Optimization for Multi-class SVM. ECCV (5) (2016)
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. CoRR (2016)
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Kumar Dokania, Simon Lacoste-Julien
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs. ICML (2016)
Qinbin Hou, Puneet Kumar Dokania, Daniela Massiceti, Yunchao Wei, Ming-Ming Cheng, Philip H. S. Torr
Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels. CoRR (2016)
Puneet Kumar Dokania, M. Pawan Kumar
Parsimonious Labeling. ICCV (2015)
Puneet Kumar Dokania, M. Pawan Kumar
Parsimonious Labeling. CoRR (2015)
Puneet Kumar Dokania, Aseem Behl, C. V. Jawahar, M. Pawan Kumar
Learning to Rank Using High-Order Information. ECCV (4) (2014)