Volgen
Arash Vahdat
Arash Vahdat
Principal Research Scientist at NVIDIA Research
Geverifieerd e-mailadres voor nvidia.com - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
3922016
NVAE: A deep hierarchical variational autoencoder
A Vahdat, J Kautz
Neural Information Processing Systems (NeurIPS), 2020
2932020
Toward robustness against label noise in training deep discriminative neural networks
A Vahdat
Neural Information Processing Systems (NeurIPS), 2017
2642017
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
2342016
A robust learning approach to domain adaptive object detection
M Khodabandeh, A Vahdat, M Ranjbar, WG Macready
International Conference on Computer Vision (ICCV), 2019
1392019
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
962021
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
842015
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
692012
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
652019
DVAE++: Discrete variational autoencoders with overlapping transformations
A Vahdat, WG Macready, Z Bian, A Khoshaman, E Andriyash
International Conference on Machine Learning (ICML), 2018
612018
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
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
552020
Score-based Generative Modeling in Latent Space
A Vahdat, K Kreis, J Kautz
Neural Information Processing Systems (NeurIPS), 2021
532021
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
Semi-supervised semantic image segmentation with self-correcting networks
MS Ibrahim, A Vahdat, M Ranjbar, WG Macready
Computer Vision and Pattern Recognition (CVPR), 2020
432020
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
DVAE#: Discrete variational autoencoders with relaxed boltzmann priors
A Vahdat, E Andriyash, WG Macready
Neural Information Processing Systems (NeurIPS), 2018
382018
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
372020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20