5 code implementations • ICCV 2019 • Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, Jian Zheng
Finally, we propose Temporal Attentive Adversarial Adaptation Network (TA3N), which explicitly attends to the temporal dynamics using domain discrepancy for more effective domain alignment, achieving state-of-the-art performance on four video DA datasets (e. g. 7. 9% accuracy gain over "Source only" from 73. 9% to 81. 8% on "HMDB --> UCF", and 10. 3% gain on "Kinetics --> Gameplay").
no code implementations • 16 Jun 2019 • Jian Zheng, Sudha Krishnamurthy, Ruxin Chen, Min-Hung Chen, Zhenhao Ge, Xiaohua LI
However, little work has been done for game image captioning which has some unique characteristics and requirements.
no code implementations • 20 Apr 2016 • Wei Chu, Ruxin Chen
The previously trained DNN of the matched speaker cluster is used for decoding utterances of the test speaker.