Tuesday, September 26, 2017
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Congratulations! One paper was accepted by ICCV 2017

Congratulations to Tsun-Yi Yang, Jo-Han Hsu, Yen-Yu Lin, and Yung-Yu Chuang! Our work entitled "DeepCD: Learning Deep Complementary Descriptors for Patch Representations" has been accepted for ICCV 2017.

 

Congratulations! One paper was accepted by BMVC 2017

Congratulations to Kuang-Jui Hsu, Yen-Yu Lin, and Yung-Yu Chuang! Our work entitled "Weakly Supervised Saliency Detection with A Category-Driven Map Generator" has been accepted for BMVC 2017.

 

Congratulations! Two papers were accepted by ICIP 2017

Congratulations to Tsung-Yu Tsai, Yen-Yu Lin, Hong-Yuan Mark Liao, and Shyh-Kang Jeng! Our work entitled "Recognizing Offensive Tactics in Broadcast Basketball Videos via Key Player Detection" has been accepted for ICIP 2017.

Congratulations to Mettu Srinivas, Yen-Yu Lin, and Hong-Yuan Mark Liao! Our work entitled "Deep Dictionary Learning for Fine-Grained Image Classification" has been accepted for ICIP 2017.

 

Congratulations! One paper will be published in ACM Transactions on Multimedia Computing, Communications, and Applications

Congratulations to Shih-Yao Lin, Yen-Yu Lin, Chu-Song Chen, and Yi-Ping Hung! Our work entitled "Recognizing Human Actions with Outlier Frames by Observation Filtering and Completionhas been accepted for ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).

 

Congratulations! One paper was accepted by CVPR 2017

Congratulations to Ya-Fang Shih*, Yang-Ming Yeh*, Yen-Yu Lin, Yi-Chang Lu, Ming-Feng Weng, and Yung-Yu Chuang! Our work entitled "Deep Co-occurrence Feature Learning for Visual Object Recognition" has been accepted for CVPR 2017. (*: equal contribution)

 

Congratulations! Two papers were accepted by ICME 2017

Congratulations to Chung-Chi Tsai, Xiaoning Qian, and Yen-Yu Lin! Our work entitled "Segmentation Guided Local Proposal Fusion for Co-saliency Detection" has been accepted for ICME 2017.

Congratulations to Mettu Srinivas, Yen-Yu Lin, and Hong-Yuan Mark Liao! Our work entitled "Learning Deep And Sparse Feature Representation for Fine-grained Eecognition" has been accepted for ICME 2017.

 

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