Arash Vahdat
Arash Vahdat
Senior 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
3312016
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
2012016
Toward robustness against label noise in training deep discriminative neural networks
A Vahdat
Neural Information Processing Systems (NeurIPS), 2017
1972017
NVAE: A deep hierarchical variational autoencoder
A Vahdat, J Kautz
Neural Information Processing Systems (NeurIPS), 2020
1362020
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
892011
A robust learning approach to domain adaptive object detection
M Khodabandeh, A Vahdat, M Ranjbar, WG Macready
International Conference on Computer Vision (ICCV), 2019
852019
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
772015
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
732013
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
682012
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
DVAE++: Discrete variational autoencoders with overlapping transformations
A Vahdat, WG Macready, Z Bian, A Khoshaman, E Andriyash
International Conference on Machine Learning (ICML), 2018
492018
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
482010
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
452019
TRECVID 2012 GENIE: Multimedia event detection and recounting
AGA Perera, S Oh, P Megha, T Ma, A Hoogs, A Vahdat, K Cannons, ...
In TRECVID Workshop, 2012
392012
Kernel latent svm for visual recognition
W Yang, Y Wang, A Vahdat, G Mori
Neural Information Processing Systems (NeurIPS), 2012
362012
Discriminative key-component models for interaction detection and recognition
YS Sefidgar, A Vahdat, S Se, G Mori
Computer Vision and Image Understanding (CVIU), 2015
352015
DVAE#: Discrete variational autoencoders with relaxed boltzmann priors
A Vahdat, E Andriyash, WG Macready
Neural Information Processing Systems (NeurIPS), 2018
332018
Handling uncertain tags in visual recognition
A Vahdat, G Mori
International Conference on Computer Vision (ICCV), 2013
292013
Latent maximum margin clustering
GT Zhou, T Lan, A Vahdat, G Mori
Neural Information Processing Systems (NeurIPS), 2013
272013
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
262020
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