IVMSP-P1: Quality assessment and anomaly detection I
Tue, 16 Apr, 13:10 - 15:10 (UTC +9)
Location: Poster Zone 6B
Session Type: Poster
Session Chair: Zhou Wang, University of Waterloo
Track: Image, Video, and Multidimensional Signal Processing
Click the to view the manuscript on IEEE Xplore Open Preview
 

IVMSP-P1.1: MULTI-STAGE CONTRASTIVE REGRESSION FOR ACTION QUALITY ASSESSMENT
Qi An, Mengshi Qi, Huadong Ma, Beijing University of Posts and Telecommunications, China
 

IVMSP-P1.2: Loop Structure-Aware Learning for Fully Automated Pulmonary Fissure Completeness Assessment
Linya Zheng, Fan Zhang, Haichao Peng, Xiamen University, China; Yong Wang, Zhongshan Hospital, Xiamen University, China; Yinran Chen, Xiongbiao Luo, Xiamen University, China
 

IVMSP-P1.3: RATING-AUGMENTED NO-REFERENCE POINT CLOUD QUALITY ASSESSMENT USING MULTI-TASK LEARNING
Xinyu Wang, Xiaochuan Wang, Ruijun Liu, Xiankai Huang, Beijing Technology and Business University, China
 

IVMSP-P1.4: DEEPOREDNET: CONTRASTIVE LEARNING-BASED ATTENTION-WEIGHTED DUAL CHANNEL RESIDUAL NETWORK FOR OCULAR REDNESS ASSESSMENT
Shaopan Wang, Jiezhou He, Xin He, Jiaoyue Hu, Zuguo Liu, Zhiming Luo, Xiamen University, China
 

IVMSP-P1.5: BOOSTING IMAGE QUALITY ASSESSMENT PERFORMANCE: UNSUPERVISED SCORE FUSION BY DEEP MAXIMUM A POSTERIORI ESTIMATION
Zhongling Wang, Raymond Zhou, University of Waterloo, Canada; Shahrukh Athar, McMaster University, Canada; Wenbo Yang, Zhou Wang, University of Waterloo, Canada
 

IVMSP-P1.6: MUTUALITY ATTRIBUTE MAKES BETTER VIDEO ANOMALY DETECTION
Xingshuo Han, Xiao Wang, Kui Jiang, Wei Liu, Ruimin Hu, Xuefeng Pan, Xin Xu, China, China
 

IVMSP-P1.7: VIDEO ANOMALY PREDICTION: PROBLEM, DATASET AND METHOD
Yang Wang, Tongji University, China; Jun Xu, Shanghai Bilibili Technology Co., Ltd., China; Jiaogen Zhou, Huaiyin Normal University, China; Jihong Guan, Tongji University, China
 

IVMSP-P1.8: Balancing Representation Abstractions and Local Details Preservation for 3D Point Cloud Quality Assessment
Marouane Tliba, Aladine Chetouani, University of Orleans, France; Giuseppe Valenzise, Frederic Dufaux, Paris Saclay, France
 

IVMSP-P1.9: PERCEIVING MULTI-LAYER REPRESENTATIONS FOR NO-REFERENCE IMAGE QUALITY ASSESSMENT
Qunyue Huang, Bin Fang, Xi Ai, Tianyu Nie, Chongqing University, China
 

IVMSP-P1.10: IMPLICIT FOREGROUND-GUIDED NETWORK FOR ANOMALY DETECTION AND LOCALIZATION
Xiaolu Chen, Haote Xu, Chenghao Deng, Xiaotong Tu, Xinghao Ding, Yue Huang, Xiamen University, China
 

IVMSP-P1.11: LEARNING SPATIO-TEMPORAL RELATIONS WITH MULTI-SCALE INTEGRATED PERCEPTION FOR VIDEO ANOMALY DETECTION
Hongyu Ye, Ke Xu, Xinghao Jiang, Tanfeng Sun, Shanghai Jiao Tong University, China
 

IVMSP-P1.12: MIXED-ATTENTION AUTO ENCODER FOR MULTI-CLASS INDUSTRIAL ANOMALY DETECTION
Liu Jiangqi, Feng Wang, East China Normal University, China