Arnab Ghosh
Citado por
Citado por
Multi-agent diverse generative adversarial networks
A Ghosh, V Kulharia, V Namboodiri, PHS Torr, PK Dokania
CVPR 2018, 2017
The application slowdown model: Quantifying and controlling the impact of inter-application interference at shared caches and main memory
L Subramanian, V Seshadri, A Ghosh, S Khan, O Mutlu
2015 48th Annual IEEE/ACM International Symposium on Microarchitecture …, 2015
Contextual RNN-GANs for Abstract Reasoning Diagram Generation
A Ghosh, V Kulharia, A Mukerjee, V Namboodiri, M Bansal
Thirty-First AAAI Conference on Artificial Intelligence, 2016
Interactive sketch & fill: Multiclass sketch-to-image translation
A Ghosh, R Zhang, PK Dokania, O Wang, AA Efros, PHS Torr, ...
Proceedings of the IEEE international conference on computer vision, 1171-1180, 2019
A semi-supervised deep generative model for human body analysis
R de Bem, A Ghosh, T Ajanthan, O Miksik, N Siddharth, P Torr
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
A conditional deep generative model of people in natural images
R De Bem, A Ghosh, A Boukhayma, T Ajanthan, N Siddharth, P Torr
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1449-1458, 2019
Message passing multi-agent gans
A Ghosh, V Kulharia, V Namboodiri
arXiv preprint arXiv:1612.01294, 2016
DGPose: Deep Generative Models for Human Body Analysis
R de Bem, A Ghosh, T Ajanthan, O Miksik, A Boukhayma, N Siddharth, ...
arXiv preprint arXiv:1804.06364, 2018
STEER: Simple Temporal Regularization For Neural ODEs
A Ghosh, HS Behl, E Dupont, PHS Torr, V Namboodiri
arXiv preprint arXiv:2006.10711, 2020
DGPose: Deep Generative Models for Human Body Analysis
T Ajanthan, P Torr, A Boukhayma, R de Bem, O Miksik, N Siddharth, ...
International Journal of Computer Vision 128 (2020), 2020
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