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Yogesh Balaji
Yogesh Balaji
Research Scientist at NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S Sankaranarayanan, Y Balaji, CD Castillo, R Chellappa
CVPR 2018, 2017
7472017
Metareg: Towards domain generalization using meta-regularization
Y Balaji, S Sankaranarayanan, R Chellappa
Advances in neural information processing systems 31, 2018
6592018
Learning from synthetic data: Addressing domain shift for semantic segmentation
S Sankaranarayanan, Y Balaji, A Jain, SN Lim, R Chellappa
Proceedings of the IEEE conference on computer vision and pattern …, 2018
573*2018
ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
Y Balaji, S Nah, X Huang, A Vahdat, J Song, K Kreis, M Aittala, T Aila, ...
arXiv preprint arXiv:2211.01324, 2022
3502022
Learning to balance specificity and invariance for in and out of domain generalization
P Chattopadhyay, Y Balaji, J Hoffman
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1672020
Curriculum manager for source selection in multi-source domain adaptation
L Yang, Y Balaji, SN Lim, A Shrivastava
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1112020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Y Balaji, T Goldstein, J Hoffman
arXiv preprint arXiv:1910.08051, 2019
1082019
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis.
Y Balaji, MR Min, B Bai, R Chellappa, HP Graf
IJCAI 1 (2019), 2, 2019
902019
Robust optimal transport with applications in generative modeling and domain adaptation
Y Balaji, R Chellappa, S Feizi
Advances in Neural Information Processing Systems 33, 12934-12944, 2020
842020
Unrolling the shutter: Cnn to correct motion distortions
V Rengarajan, Y Balaji, AN Rajagopalan
Proceedings of the IEEE Conference on computer Vision and Pattern …, 2017
742017
Preserve your own correlation: A noise prior for video diffusion models
S Ge, S Nah, G Liu, T Poon, A Tao, B Catanzaro, D Jacobs, JB Huang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
642023
Normalized wasserstein for mixture distributions with applications in adversarial learning and domain adaptation
Y Balaji, R Chellappa, S Feizi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
51*2019
Understanding overparameterization in generative adversarial networks
Y Balaji, M Sajedi, NM Kalibhat, M Ding, D Stöger, M Soltanolkotabi, ...
arXiv preprint arXiv:2104.05605, 2021
332021
A comprehensive study of image classification model sensitivity to foregrounds, backgrounds, and visual attributes
M Moayeri, P Pope, Y Balaji, S Feizi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
302022
Winning lottery tickets in deep generative models
NM Kalibhat, Y Balaji, S Feizi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8038-8046, 2021
282021
The effectiveness of memory replay in large scale continual learning
Y Balaji, M Farajtabar, D Yin, A Mott, A Li
arXiv preprint arXiv:2010.02418, 2020
262020
Entropic gans meet vaes: A statistical approach to compute sample likelihoods in gans
Y Balaji, H Hassani, R Chellappa, S Feizi
International Conference on Machine Learning, 414-423, 2019
232019
Adversarial robustness of flow-based generative models
P Pope, Y Balaji, S Feizi
International Conference on Artificial Intelligence and Statistics, 3795-3805, 2020
172020
Unsupervised anomaly detection with adversarial mirrored autoencoders
G Somepalli, Y Wu, Y Balaji, B Vinzamuri, S Feizi
Uncertainty in Artificial Intelligence, 365-375, 2021
13*2021
Invert and defend: Model-based approximate inversion of generative adversarial networks for secure inference
WA Lin, Y Balaji, P Samangouei, R Chellappa
arXiv preprint arXiv:1911.10291, 2019
132019
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