Thursday, August 22, 2019
20140121.jpg

Congratulations! One paper was accepted by HuEvent 2014

Congratulations to Shih-En Wei, Nick C. Tang, Yen-Yu Lin, Ming-Fang Weng, and Hong-Yuan Mark Liao! Our work entitled "Skeleton-Augmented Human Action Understanding by Learning with Progressively Refined Data" has been accepted for HuEvent 2014.

 

Congratulations! Two papers will be published in IEEE Trans. on Image Processing

Congratulations to Nick C. Tang, Yen-Yu Lin, Ming-Fang Weng, and Hong-Yuan Mark Liao! Our work entitled "Cross-Camera Knowledge Transfer for Multiview People Counting" has been accepted for IEEE Trans. on Image Processing (TIP).

Congratulations to Nick C. Tang, Yen-Yu Lin, Ju-Hsuan Hua, Shih-En Wei, Ming-Fang Weng, and Hong-Yuan Mark Liao! Our work entitled "Robust Action Recognition via Borrowing Information across Video Modalities has been accepted for IEEE Trans. on Image Processing (TIP).

 

Congratulations! One paper will be published in IEEE Trans. on Multimedia

Congratulations to Jeng-Tsung Tsai, Yen-Yu Lin, and Hong-Yuan Mark Liao! Our work entitled "Per-cluster Ensemble Kernel Learning for Multi-modal Image Clustering with Group-dependent Feature Selection" has been accepted for IEEE Trans. on Multimedia (TMM).

 

Congratulations! One paper will be published in IEEE Trans. on Geoscience and Remote Sensing

Congratulations to Keng-Hao Liu, Yen-Yu Lin, and Chu-Song Chen! Our work entitled "Linear Spectral Mixture Analysis via Multiple Kernel Learning for Hypercpectral Image Classification" has been accepted for IEEE Trans. on Geoscience and Remote Sensing (TGRS).

 

Congratulations! Our members gain admissions to outstanding US Universities

Congratulations to our members for gaining the admissions to outstanding US universities!

  • Min-Hung Chen, Ph.D., Electrical and Computer Engineering, Georgia Institute of Technology.
  • Hsiao-Tung Chen, M.S., Electrical and Computer Engineering, Cornell University.

Congratulations! Two papers were accepted by CVPR 2014

Congratulations to Feng-Ju Chang, Yen-Yu Lin, and Kuang-Jui Hsu! Our work entitled "Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data" has been accepted for CVPR 2014.

Congratulations to Yen-Yu Lin, Ju-Hsuan Hua, Nick C. Tang, Min-Hung Chen, and Hong-Yuan Mark Liao! Our work entitled "Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras" has been accepted for CVPR 2014.