Adaptive RNN Tree for Large-Scale Human Action Recognition

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2017-October, Issue , 2017, Pages 1453-1461

  Li, Wenbo ^a   Wen, Longyin ^b   Chang, Ming Ching ^a   Lim, Ser Nam ^b,c   Lyu, Siwei ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

^b GE GLOBAL RESEARCH   (United States)

^c Avitas System   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; RECURRENT NEURAL NETWORKS;

ACTION RECOGNITION; ADAPTIVE LEARNING; HUMAN-ACTION RECOGNITION; INFERENCE PROCESS; LARGE-SCALE DATASET; MULTIPLE RECURRENT NEURAL NETWORKS; SINGLE NETWORKS; STATE-OF-THE-ART METHODS;

FORESTRY;

EID: 85041931342     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2017.161     Document Type: Conference Paper

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