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Hamed Pirsiavash
Hamed Pirsiavash
Associate Professor at University of California, Davis
Dirección de correo verificada de ucdavis.edu - Página principal
Título
Citado por
Citado por
Año
Generating videos with scene dynamics
C Vondrick, H Pirsiavash, A Torralba
Advances In Neural Information Processing Systems (NIPS), 613-621, 2016
18222016
Globally-optimal greedy algorithms for tracking a variable number of objects
H Pirsiavash, D Ramanan, CC Fowlkes
CVPR 2011, 1201-1208, 2011
10672011
A large-scale benchmark dataset for event recognition in surveillance video
S Oh, A Hoogs, A Perera, N Cuntoor, CC Chen, JT Lee, S Mukherjee, ...
CVPR 2011, 3153-3160, 2011
9832011
Detecting activities of daily living in first-person camera views
H Pirsiavash, D Ramanan
2012 IEEE conference on computer vision and pattern recognition, 2847-2854, 2012
9562012
Hidden Trigger Backdoor Attacks
A Saha, A Subramanya, H Pirsiavash
Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2019
6862019
Anticipating Visual Representations from Unlabeled Video
AT Carl Vondrick, Hamed Pirsiavash
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
662*2016
Representation Learning by Learning to Count
M Noroozi, H Pirsiavash, P Favaro
International Conference on Computer Vision (ICCV), 2017, 2017
4312017
Boosting Self-Supervised Learning via Knowledge Transfer
M Noroozi, A Vinjimoor, P Favaro, H Pirsiavash
International Conference on Computer Vision and Pattern Recognition (CVPR), 2018
3772018
Weakly Supervised Cascaded Convolutional Networks
A Diba, V Sharma, A Pazandeh, H Pirsiavash, L Van Gool
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, 2017
3652017
Parsing IKEA Objects: Fine Pose Estimation
JJ Lim, H Pirsiavash, A Torralba
IEEE International Conference on Computer Vision (ICCV), 2013, 2013
3382013
Universal litmus patterns: Revealing backdoor attacks in cnns
S Kolouri, A Saha, H Pirsiavash, H Hoffmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2732020
Assessing the quality of actions
H Pirsiavash, C Vondrick, A Torralba
European Conference on Computer Vision (ECCV), 556-571, 2014
2592014
Bilinear classifiers for visual recognition
H Pirsiavash, D Ramanan, CC Fowlkes
Advances in neural information processing systems (NIPS), 1482-1490, 2009
2102009
Parsing videos of actions with segmental grammars
H Pirsiavash, D Ramanan
Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2014
2082014
Coot: Cooperative hierarchical transformer for video-text representation learning
S Ging, M Zolfaghari, H Pirsiavash, T Brox
Neural Information Processing Systems (NeurIPS) 2020, 2020
2042020
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
AT Lluıs Castrejón, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
203*2016
Adaptive token sampling for efficient vision transformers
M Fayyaz, SA Koohpayegani, FR Jafari, S Sengupta, HRV Joze, ...
European Conference on Computer Vision, 396-414, 2022
1832022
Joint semantic segmentation and depth estimation with deep convolutional networks
A Mousavian, H Pirsiavash, J Košecká
2016 Fourth International Conference on 3D Vision (3DV), 611-619, 2016
1732016
Cross-Modal Scene Networks
Y Aytar, L Castrejon, C Vondrick, H Pirsiavash, A Torralba
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2017
1572017
A cookbook of self-supervised learning. arXiv 2023
R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ...
arXiv preprint arXiv:2304.12210, 2023
145*2023
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