Hamed Pirsiavash
Hamed Pirsiavash
Associate Professor at University of California, Davis
Verified email at ucdavis.edu - Homepage
Title
Cited by
Cited by
Year
Generating videos with scene dynamics
C Vondrick, H Pirsiavash, A Torralba
Advances In Neural Information Processing Systems (NIPS), 613-621, 2016
10732016
Globally-optimal greedy algorithms for tracking a variable number of objects
H Pirsiavash, D Ramanan, CC Fowlkes
CVPR 2011, 1201-1208, 2011
8912011
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
7522012
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
6592011
Anticipating Visual Representations from Unlabeled Video
AT Carl Vondrick, Hamed Pirsiavash
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
423*2016
Parsing IKEA Objects: Fine Pose Estimation
JJ Lim, H Pirsiavash, A Torralba
IEEE International Conference on Computer Vision (ICCV), 2013, 2013
2592013
Representation Learning by Learning to Count
M Noroozi, H Pirsiavash, P Favaro
International Conference on Computer Vision (ICCV), 2017, 2017
2412017
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
2112017
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
1712018
Bilinear classifiers for visual recognition
H Pirsiavash, D Ramanan, CC Fowlkes
Advances in neural information processing systems (NIPS), 1482-1490, 2009
1632009
Parsing videos of actions with segmental grammars
H Pirsiavash, D Ramanan
Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2014
1622014
Learning Aligned Cross-Modal Representations from Weakly Aligned Data
AT Lluıs Castrejˇn, Yusuf Aytar, Carl Vondrick, Hamed Pirsiavash
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
127*2016
Assessing the quality of actions
H Pirsiavash, C Vondrick, A Torralba
European Conference on Computer Vision (ECCV), 556-571, 2014
1252014
Joint semantic segmentation and depth estimation with deep convolutional networks
A Mousavian, H Pirsiavash, J Košeckß
2016 Fourth International Conference on 3D Vision (3DV), 611-619, 2016
1012016
Cross-Modal Scene Networks
Y Aytar, L Castrejon, C Vondrick, H Pirsiavash, A Torralba
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2017
922017
Talkminer: a lecture webcast search engine
J Adcock, M Cooper, L Denoue, H Pirsiavash, LA Rowe
Proceedings of the 18th ACM international conference on Multimedia, 241-250, 2010
902010
Opti-acoustic stereo imaging: On system calibration and 3-D target reconstruction
S Negahdaripour, H Sekkati, H Pirsiavash
IEEE Transactions on image processing 18 (6), 1203-1214, 2009
782009
Steerable part models
H Pirsiavash, D Ramanan
2012 IEEE Conference on Computer Vision and Pattern Recognition, 3226-3233, 2012
772012
Hidden Trigger Backdoor Attacks
A Saha, A Subramanya, H Pirsiavash
AAAI 2020, 2019
722019
Predicting Motivations of Actions by Leveraging Text
C Vondrick, D Oktay, H Pirsiavash, A Torralba
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference oná…, 2016
53*2016
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