Puneet Kumar Dokania

According to our database1, Puneet Kumar Dokania authored at least 15 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

2019
Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration.
IEEE J. Biomed. Health Informatics, 2019

Continual Learning with Tiny Episodic Memories.
CoRR, 2019

2018
Proximal Mean-field for Neural Network Quantization.
CoRR, 2018

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence.
Proceedings of the Computer Vision - ECCV 2018, 2018

FlipDial: A Generative Model for Two-Way Visual Dialogue.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multi-Agent Diverse Generative Adversarial Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Deformable Registration Through Learning of Context-Specific Metric Aggregation.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Rounding-based Moves for Semi-Metric Labeling.
J. Mach. Learn. Res., 2016

Mining Pixels: Weakly Supervised Semantic Segmentation Using Image Labels.
CoRR, 2016

Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Partial Linearization Based Optimization for Multi-class SVM.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Parsimonious Labeling.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Learning to Rank Using High-Order Information.
Proceedings of the Computer Vision - ECCV 2014, 2014


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