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Amirhossein Habibian
Amirhossein Habibian
Research Scientist, Qualcomm
Verified email at qti.qualcomm.com - Homepage
Title
Cited by
Cited by
Year
Videostory: A new multimedia embedding for few-example recognition and translation of events
A Habibian, T Mensink, CGM Snoek
Proceedings of the 22nd ACM international conference on Multimedia, 17-26, 2014
1052014
Video compression with rate-distortion autoencoders
A Habibian, T Rozendaal, JM Tomczak, TS Cohen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
992019
Composite concept discovery for zero-shot video event detection
A Habibian, T Mensink, CGM Snoek
Proceedings of International Conference on Multimedia Retrieval, 17-24, 2014
852014
Recommendations for video event recognition using concept vocabularies
A Habibian, KEA van de Sande, CGM Snoek
Proceedings of the 3rd ACM conference on International conference on …, 2013
722013
Computer Vision--ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part I
D Fleet, T Pajdla, B Schiele, T Tuytelaars
Springer, 2014
672014
Video2vec embeddings recognize events when examples are scarce
A Habibian, T Mensink, CGM Snoek
IEEE transactions on pattern analysis and machine intelligence 39 (10), 2089 …, 2016
572016
Querying for video events by semantic signatures from few examples
M Mazloom, A Habibian, CGM Snoek
Proceedings of the 21st ACM international conference on Multimedia, 609-612, 2013
442013
Evaluating multimedia features and fusion for example-based event detection
GK Myers, CGM Snoek, R Nevatia, R Nallapati, J van Hout, S Pancoast, ...
Fusion in Computer Vision, 109-133, 2014
432014
MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video.
CGM Snoek, KEA van de Sande, D Fontijne, AH Habibian, M Jain, ...
TRECVID 1 (2), 3, 2013
432013
Recommendations for recognizing video events by concept vocabularies
A Habibian, CGM Snoek
Computer Vision and Image Understanding 124, 110-122, 2014
302014
Discovering semantic vocabularies for cross-media retrieval
A Habibian, T Mensink, CGM Snoek
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
262015
A selective weighted late fusion for visual concept recognition
N Liu, E Dellandrea, B Tellez, L Chen
Fusion in Computer Vision, 1-28, 2014
192014
Encoding concept prototypes for video event detection and summarization
M Mazloom, A Habibian, D Liu, CGM Snoek, SF Chang
Proceedings of the 5th ACM on International Conference on Multimedia …, 2015
182015
Deep cross-correlation learning for object tracking
A Habibian, CGM Snoek
US Patent 11,308,350, 2022
132022
Skip-convolutions for efficient video processing
A Habibian, D Abati, TS Cohen, BE Bejnordi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
112021
Predicting subject body poses and subject movement intent using probabilistic generative models
MSALI AKBARIAN, A HABIBIAN, KEA VAN DE SANDE
US Patent 10,937,173, 2021
82021
The 2014 SESAME Multimedia Event Detection and Recounting System.
RC Bolles, JB Burns, JA Herson, GK Myers, J van Hout, W Wang, J Wong, ...
TRECVID, 2014
82014
Frameexit: Conditional early exiting for efficient video recognition
A Ghodrati, BE Bejnordi, A Habibian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
72021
Video compression using deep generative models
A Habibian, TJ Van Rozendaal, TS Cohen
US Patent App. 16/826,221, 2020
72020
Failure detection for a neural network object tracker
A Habibian, CGM Snoek
US Patent 10,740,654, 2020
72020
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