MQ.PH: Journal Presentations I |
Session Type: Poster |
Time: Monday, September 23, 16:30 - 18:18 |
Location: Room 101 (1F) - Poster Area H |
Session Chair: Aline Roumy, INRIA Rennes Bretagne-Atlantique |
MQ.PH.1: FACE RECOGNITION USING SIMULTANEOUS DISCRIMINATIVE FEATURE AND ADAPTIVE WEIGHT LEARNING BASED ON GROUP SPARSE REPRESENTATION |
Haifeng Hu; Sun Yat-sen University |
Lingshuang Du; Sun Yat-sen University |
MQ.PH.2: FAST HIGH-DIMENSIONAL BILATERAL AND NONLOCAL MEANS FILTERING |
Pravin Nair; Indian Institute of Science |
Kunal Chaudhury; Indian Institute of Science |
MQ.PH.3: DEEP VIDEO DEHAZING WITH SEMANTIC SEGMENTATION |
Wenqi Ren; Institute of Information Engineering, Chinese Academy of Sciences |
Jingang Zhang; University of Chinese Academy of Sciences |
Xiangyu Xu; SenseTime Research |
Lin Ma; Tencent AI Laboratory |
Xiaochun Cao; Institute of Information Engineering, Chinese Academy of Sciences |
Gaofeng Meng; Institute of Automation, Chinese Academy of Sciences |
Wei Liu; Tencent AI Laboratory |
MQ.PH.4: MULTI-MODAL REFLECTION REMOVAL USING CONVOLUTIONAL NEURAL NETWORKS |
Jun Sun; Xidian University |
Yakun Chang; Xidian University |
Cheolkon Jung; Xidian University |
Jiawei Feng; Xidian University |
MQ.PH.5: ROBUST COMPRESSIVE TWO-DIMENSIONAL NEAR-FIELD MILLIMETER-WAVE IMAGE RECONSTRUCTION IN IMPULSIVE NOISE |
Jue Lyu; University of Electronic Science and Technology of China |
Dongjie Bi; University of Electronic Science and Technology of China |
Xifeng Li; University of Electronic Science and Technology of China |
Yongle Xie; University of Electronic Science and Technology of China |
MQ.PH.6: NONLOCALITY-REINFORCED CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE DENOISING |
Cristóvão Cruz; Noiseless Imaging Oy |
Alessandro Foi; Tampere University |
Vladimir Katkovnik; Tampere University |
Karen Egiazarian; Tampere University |
MQ.PH.7: SUBJECTIVE AND OBJECTIVE QUALITY ASSESSMENT OF STITCHED IMAGES FOR VIRTUAL REALITY |
Rajiv Soundararajan; Indian Institute of Science |
Pavan Chennagiri Madhusudana; University of Texas at Austin |
MQ.PH.8: LEARNING-BASED JUST-NOTICEABLE-QUANTIZATION-DISTORTION MODELING FOR PERCEPTUAL VIDEO CODING |
Sehwan Ki; Korea Advanced Institute of Science and Technology (KAIST) |
Sung-Ho Bae; Korea Advanced Institute of Science and Technology (KAIST) |
Munchurl Kim; Korea Advanced Institute of Science and Technology (KAIST) |
Hyunsuk Ko; Korea Advanced Institute of Science and Technology (KAIST) |