Technical Program
MP-PA: Representation and Modeling I |
Session Type: Poster |
Time: Monday, September 18, 14:30 - 16:00 |
Location: Poster Area A |
Session Chair: Dimitri Androutsos, Ryerson University |
MP-PA.1: IMAGE DEBLURRING IN THE PRESENCE OF SALT-AND-PEPPER NOISE |
Liming Hou; Chongqing University of Posts and Telecommunications |
Hongqing Liu; Chongqing University of Posts and Telecommunications |
Zhen Luo; Chongqing University of Posts and Telecommunications |
Yi Zhou; Chongqing University of Posts and Telecommunications |
Trieu-Kien Truong; I-Shou University |
MP-PA.2: A GABOR FEATURE FUSION FRAMEWORK FOR HYPERSPECTRAL IMAGERY CLASSIFICATION |
Sen Jia; Shenzhen University |
Bin Deng; Shenzhen University |
Huimin Xie; Shenzhen University |
Lin Deng; Shenzhen University |
MP-PA.3: UNSUPERVISED FEATURE SELECTION BY MANIFOLD REGULARIZED SELF-REPRESENTATION |
Siqi Liang; Nankai University |
Qian Xu; Tianjin University |
Pengfei Zhu; Tianjin University |
Qinghua Hu; Tianjin University |
Changqing Zhang; Tianjin University |
MP-PA.4: NATURALNESS-PRESERVED TONE MAPPING IN IMAGES BASED ON PERCEPTUAL QUANTIZATION |
Cheolkon Jung; Xidian University |
Kaiqiang Xu; Xidian University |
MP-PA.5: SELECTING ATTENTIVE FRAMES FROM VISUALLY COHERENT VIDEO CHUNKS FOR SURVEILLANCE VIDEO SUMMARIZATION |
Wenzhong Wang; Anhui University |
Qiaoqiao Zhang; Anhui University |
Bin Luo; Anhui University |
Jin Tang; Anhui University |
Rui Ruan; Anhui University |
Chenglong Li; Anhui University |
MP-PA.6: SEMI-SUPERVISED MULTI-OUTPUT IMAGE MANIFOLD REGRESSION |
Hui Wu; IBM Research |
Scott Spurlock; Elon University |
Richard Souvenir; Temple University |
MP-PA.7: ESTIMATION OF SIGNAL-DEPENDENT NOISE LEVEL FUNCTION USING MULTI-COLUMN CONVOLUTIONAL NEURAL NETWORK |
Jingyu Yang; Tianjin University |
Xin Liu; Tianjin University |
Xiaolin Song; Tianjin University |
Kun Li; Tianjin University |
MP-PA.8: SALPROP: SALIENT OBJECT PROPOSALS VIA AGGREGATED EDGE CUES |
Prerana Mukherjee; Indian Institute of Technology Delhi |
Brejesh Lall; Indian Institute of Technology Delhi |
Sarvaswa Tandon; National Institute of Technology |