Follow
Arash Vahdat
Arash Vahdat
Principal Research Scientist at NVIDIA Research
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
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
4172016
NVAE: A deep hierarchical variational autoencoder
A Vahdat, J Kautz
Neural Information Processing Systems (NeurIPS), 2020
3792020
Toward robustness against label noise in training deep discriminative neural networks
A Vahdat
Neural Information Processing Systems (NeurIPS), 2017
2802017
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
2442016
A robust learning approach to domain adaptive object detection
M Khodabandeh, A Vahdat, M Ranjbar, WG Macready
International Conference on Computer Vision (ICCV), 2019
1542019
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
1412021
Score-based Generative Modeling in Latent Space
A Vahdat, K Kreis, J Kautz
Neural Information Processing Systems (NeurIPS), 2021
1012021
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
962011
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
882015
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
742019
Compositional models for video event detection: A multiple kernel learning latent variable approach
A Vahdat, K Cannons, G Mori, S Oh, I Kim
International Conference on Computer Vision (ICCV), 2013
742013
Similarity constrained latent support vector machine: An application to weakly supervised action classification
N Shapovalova, A Vahdat, K Cannons, T Lan, G Mori
European Conference on Computer Vision (ECCV), 2012
692012
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
682020
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Z Xiao, K Kreis, A Vahdat
International Conference on Learning Representations (ICLR), 2022
672022
DVAE++: Discrete variational autoencoders with overlapping transformations
A Vahdat, WG Macready, Z Bian, A Khoshaman, E Andriyash
International Conference on Machine Learning (ICML), 2018
672018
Multimedia event detection with multimodal feature fusion and temporal concept localization
S Oh, S McCloskey, I Kim, A Vahdat, KJ Cannons, H Hajimirsadeghi, ...
Machine vision and applications 25 (1), 49-69, 2014
582014
Semi-supervised semantic image segmentation with self-correcting networks
MS Ibrahim, A Vahdat, M Ranjbar, WG Macready
Computer Vision and Pattern Recognition (CVPR), 2020
542020
Generalized sparse classifiers for decoding cognitive states in fMRI
B Ng, A Vahdat, G Hamarneh, R Abugharbieh
International Workshop on Machine Learning in Medical Imaging, 2010
522010
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
T Dockhorn, A Vahdat, K Kreis
International Conference on Learning Representations (ICLR), 2022
462022
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
462020
The system can't perform the operation now. Try again later.
Articles 1–20