DeepProduct: Mobile Product Search With Portable Deep Features.
ACM Trans. Multim. Comput. Commun. Appl., 2018
Aggregating Frame-level Features for Large-Scale Video Classification.
CoRR, 2017
Fast Summarization of User-Generated Videos: Exploiting Semantic, Emotional, and Quality Clues.
IEEE Multim., 2016
Multi-Stream Multi-Class Fusion of Deep Networks for Video Classification.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Exploiting Objects with LSTMs for Video Categorization.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016
Matching User Photos to Online Products with Robust Deep Features.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016
Fusing Multi-Stream Deep Networks for Video Classification.
CoRR, 2015
NTT-Fudan Team @ TRECVID 2015: Multimedia Event Detection.
Proceedings of the 2015 TREC Video Retrieval Evaluation, 2015
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015
Evaluating Two-Stream CNN for Video Classification.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015
Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015
Real-time summarization of user-generated videos based on semantic recognition.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014