Arash Vahdat
Arash Vahdat
Senior Research Scientist at NVIDIA Research
Verified email at nvidia.com - Homepage
TitleCited byYear
A hierarchical deep temporal model for group activity recognition
MS Ibrahim, S Muralidharan, Z Deng, A Vahdat, G Mori
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1532016
Structure inference machines: Recurrent neural networks for analyzing relations in group activity recognition
Z Deng, A Vahdat, H Hu, G Mori
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1022016
A discriminative key pose sequence model for recognizing human interactions
A Vahdat, B Gao, M Ranjbar, G Mori
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
732011
Compositional models for video event detection: A multiple kernel learning latent variable approach
A Vahdat, K Cannons, G Mori, S Oh, I Kim
Proceedings of the IEEE International Conference on Computer Vision, 1185-1192, 2013
682013
Toward robustness against label noise in training deep discriminative neural networks
A Vahdat
Advances in Neural Information Processing Systems, 5596-5605, 2017
612017
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, 55-68, 2012
582012
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
492014
Visual recognition by counting instances: A multi-instance cardinality potential kernel
H Hajimirsadeghi, W Yan, A Vahdat, G Mori
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
452015
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, 108-115, 2010
432010
Kernel latent SVM for visual recognition
W Yang, Y Wang, A Vahdat, G Mori
Advances in neural information processing systems, 809-817, 2012
362012
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
352012
Discriminative key-component models for interaction detection and recognition
YS Sefidgar, A Vahdat, S Se, G Mori
Computer Vision and Image Understanding 135, 16-30, 2015
302015
Handling uncertain tags in visual recognition
A Vahdat, G Mori
Proceedings of the IEEE International Conference on Computer Vision, 737-744, 2013
262013
Latent maximum margin clustering
GT Zhou, T Lan, A Vahdat, G Mori
Advances in Neural Information Processing Systems, 28-36, 2013
242013
DVAE++: Discrete variational autoencoders with overlapping transformations
A Vahdat, WG Macready, Z Bian, A Khoshaman, E Andriyash
arXiv preprint arXiv:1802.04920, 2018
142018
Discovering human interactions in videos with limited data labeling
M Khodabandeh, A Vahdat, GT Zhou, H Hajimirsadeghi, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
132015
DVAE#: Discrete variational autoencoders with relaxed Boltzmann priors
A Vahdat, E Andriyash, W Macready
Advances in Neural Information Processing Systems, 1864-1874, 2018
122018
Discovering video clusters from visual features and noisy tags
A Vahdat, GT Zhou, G Mori
European Conference on Computer Vision, 526-539, 2014
112014
GENIE TRECVID 2011 multimedia event detection: late-fusion approaches to combine multiple audio–visual features
AGA Perera, S Oh, M Leotta, I Kim, B Byun, CH Lee, S McCloskey, J Liu, ...
NIST TRECVID, workshop, 2011
92011
Segmental multi-way local pooling for video recognition
I Kim, S Oh, A Vahdat, K Cannons, AG Perera, G Mori
Proceedings of the 21st ACM international conference on Multimedia, 637-640, 2013
82013
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Articles 1–20