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Viveka Kulharia
Viveka Kulharia
Student, University of Oxford
Geverifieerd e-mailadres voor robots.ox.ac.uk - Homepage
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Multi-agent diverse generative adversarial networks
A Ghosh*, V Kulharia*, VP Namboodiri, PHS Torr, PK Dokania
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3592018
Calibrating Deep Neural Networks using Focal Loss
J Mukhoti*, V Kulharia*, A Sanyal, S Golodetz, P Torr, P Dokania
Advances in Neural Information Processing Systems, 2020
2982020
Box2seg: Attention weighted loss and discriminative feature learning for weakly supervised segmentation
V Kulharia*, S Chandra*, A Agrawal, P Torr, A Tyagi
European Conference on Computer Vision, 290-308, 2020
882020
Contextual RNN-GANs for Abstract Reasoning Diagram Generation.
V Kulharia*, A Ghosh*, A Mukerjee, VP Namboodiri, M Bansal
AAAI, 1382-1388, 2017
38*2017
Message passing multi-agent gans
A Ghosh*, V Kulharia*, V Namboodiri
arXiv preprint arXiv:1612.01294, 2016
192016
Similarity learning for dense label transfer
M Najafi*, V Kulharia*, T Ajanthan, PH Torr
The 2018 DAVIS Challenge on Video Object Segmentation-CVPR Workshops, 2018
92018
Domain partitioning network
B Csaba, A Boukhayma, V Kulharia, A Horváth, PHS Torr
arXiv preprint arXiv:1902.08134, 2019
22019
Neural Perspective to Jigsaw Puzzle Solving
V Kulharia*, A Ghosh*, N Patil*, P Rai
http://vivkul.github.io/static/neural-perspective-jigsaw.pdf, 2016
22016
Segmentation using attention-weighted loss and discriminative feature learning
A Tyagi, S Chandra, AK Agrawal, V Kulharia
US Patent 11,450,008, 2022
2022
Towards diverse generation and reliable classification using neural networks
V Kulharia
University of Oxford, 2022
2022
A Revised Generative Evaluation of Visual Dialogue
D Massiceti, V Kulharia, PK Dokania, N Siddharth, PHS Torr
arXiv preprint arXiv:2004.09272, 2020
2020
Literature Review: Using music to learn a second language
V Kulharia
https://vivkul.github.io/static/literature-review-music.pdf, 2016
2016
Supplementary: Multi-Agent Diverse Generative Adversarial Networks
A Ghosh*, V Kulharia*, V Namboodiri, PHS Torr, PK Dokania
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Artikelen 1–13