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Arash Vahdat
Arash Vahdat
Senior Research Manager at NVIDIA Research
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
NVAE: A deep hierarchical variational autoencoder
A Vahdat, J Kautz
Neural Information Processing Systems (NeurIPS), 2020
7592020
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
5412016
Score-based Generative Modeling in Latent Space
A Vahdat, K Kreis, J Kautz
Neural Information Processing Systems (NeurIPS), 2021
4042021
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
3612022
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
3502021
Toward robustness against label noise in training deep discriminative neural networks
A Vahdat
Neural Information Processing Systems (NeurIPS), 2017
3342017
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Z Xiao, K Kreis, A Vahdat
International Conference on Learning Representations (ICLR), 2022
3232022
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
2872016
A robust learning approach to domain adaptive object detection
M Khodabandeh, A Vahdat, M Ranjbar, WG Macready
International Conference on Computer Vision (ICCV), 2019
2452019
LION: Latent point diffusion models for 3D shape generation
X Zeng, A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler, K Kreis
arXiv preprint arXiv:2210.06978, 2022
2132022
Diffusion Models for Adversarial Purification
W Nie, B Guo, Y Huang, C Xiao, A Vahdat, A Anandkumar
International Conference on Machine Learning (ICML), 2022
2102022
A-vit: Adaptive tokens for efficient vision transformer
H Yin, A Vahdat, JM Alvarez, A Mallya, J Kautz, P Molchanov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
160*2022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
T Dockhorn, A Vahdat, K Kreis
International Conference on Learning Representations (ICLR), 2022
1572022
Open-vocabulary panoptic segmentation with text-to-image diffusion models
J Xu, S Liu, A Vahdat, W Byeon, X Wang, S De Mello
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
1382023
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
1202020
A discriminative key pose sequence model for recognizing human interactions
A Vahdat, B Gao, M Ranjbar, G Mori
International Conference on Computer Vision Workshops (ICCV Workshops), 2011
1062011
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
1052019
Visual recognition by counting instances: A multi-instance cardinality potential kernel
H Hajimirsadeghi, W Yan, A Vahdat, G Mori
Computer Vision and Pattern Recognition (CVPR), 2015
1012015
Semi-supervised semantic image segmentation with self-correcting networks
MS Ibrahim, A Vahdat, M Ranjbar, WG Macready
Computer Vision and Pattern Recognition (CVPR), 2020
992020
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
962020
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