NVAE: A deep hierarchical variational autoencoder A Vahdat, J Kautz
Neural Information Processing Systems (NeurIPS), 2020
1063 2020 ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers Y Balaji, S Nah, X Huang, A Vahdat, J Song, Q Zhang, K Kreis, M Aittala, ...
arXiv preprint arXiv:2211.01324, 2022
737 2022 Score-based Generative Modeling in Latent Space A Vahdat, K Kreis, J Kautz
Neural Information Processing Systems (NeurIPS), 2021
657 2021 A hierarchical deep temporal model for group activity recognition MS Ibrahim, S Muralidharan, Z Deng, A Vahdat, G Mori
Computer Vision and Pattern Recognition (CVPR), 2016
628 2016 Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Z Xiao, K Kreis, A Vahdat
International Conference on Learning Representations (ICLR), 2022
591 2022 See through Gradients: Image Batch Recovery via GradInversion H Yin, A Mallya, A Vahdat, JM Alvarez, J Kautz, P Molchanov
Computer Vision and Pattern Recognition (CVPR), 2021
555 2021 Diffusion Models for Adversarial Purification W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar
International Conference on Machine Learning (ICML), 2022
504 2022 Lion: Latent point diffusion models for 3d shape generation A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler, K Kreis
Advances in Neural Information Processing Systems (NeurIPS), 2022
462 2022 Open-vocabulary panoptic segmentation with text-to-image diffusion models J Xu, S Liu, A Vahdat, W Byeon, X Wang, S De Mello
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2955-2966, 2023
434 2023 Toward robustness against label noise in training deep discriminative neural networks A Vahdat
Neural Information Processing Systems (NeurIPS), 2017
372 2017 A-vit: Adaptive tokens for efficient vision transformer H Yin, A Vahdat, JM Alvarez, A Mallya, J Kautz, P Molchanov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10809 …, 2022
331 * 2022 A robust learning approach to domain adaptive object detection M Khodabandeh, A Vahdat, M Ranjbar, WG Macready
International Conference on Computer Vision (ICCV), 2019
315 2019 Structure inference machines: Recurrent neural networks for analyzing relations in group activity recognition Z Deng, A Vahdat, H Hu, G Mori
Computer Vision and Pattern Recognition (CVPR), 2016
303 2016 Score-Based Generative Modeling with Critically-Damped Langevin Diffusion T Dockhorn, A Vahdat, K Kreis
International Conference on Learning Representations (ICLR), 2022
256 2022 Pseudoinverse-guided diffusion models for inverse problems J Song, A Vahdat, M Mardani, J Kautz
International Conference on Learning Representations (ICLR), 2022
243 2022 Physdiff: Physics-guided human motion diffusion model Y Yuan, J Song, U Iqbal, A Vahdat, J Kautz
IEEE/CVF International Conference on Computer Vision (CVPR), 16010-16021, 2023
234 2023 Contrastive learning for weakly supervised phrase grounding T Gupta, A Vahdat, G Chechik, X Yang, J Kautz, D Hoiem
European Conference on Computer Vision (ECCV), 2020
151 2020 I GH Liu, A Vahdat, DA Huang, EA Theodorou, W Nie, A Anandkumar
International Conference on Machine Learning (ICML), 2023
149 2023 VAEBM: A symbiosis between variational autoencoders and energy-based models Z Xiao, K Kreis, J Kautz, A Vahdat
International Conference on Learning Representations (ICLR), 2020
133 2020 CATARACTS: Challenge on automatic tool annotation for cataRACT surgery H Al Hajj, M Lamard, PH Conze, S Roychowdhury, X Hu, G Maršalkaitė, ...
Medical Image Analysis (MedIA) 52, 24-41, 2019
133 2019 
Jan KautzVice President of Research, NVIDIA ResearchEmail verificata su nvidia.com