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ARS-4: Re-Identification and Retrieval

Session Type: Poster
Time: Wednesday, September 22, 08:00 - 09:30
Location: Area I
Session Chair: Nicola Conci, University of Trento
 
   ARS-4.1: HIGH CONFIDENCE ATTRIBUTE RECOGNITION FOR VEHICLE RE-IDENTIFICATION
         Xinze Dou; Beihang University
         Yang Liu; Beihang University
         Kai Lv; Beihang University
         Zhang Xiong; Beihang University
         Hao Sheng; Beihang University
 
   ARS-4.3: LEARNING GENERIC FEATURE REPRESENTATIONS WITH ADVERSARIAL REGULARIZATION FOR PERSON RE-IDENTIFICATION
         Qindong Zhang; Xi'an Jiaotong University
         Sanping Zhou; Xi'an Jiaotong University
         Jinjun Wang; Xi'an Jiaotong University
 
   ARS-4.4: UNSUPERVISED PERSON RE-IDENTIFICATION VIA GLOBAL-LEVEL AND PATCH-LEVEL DISCRIMINATIVE FEATURE LEARNING
         Zongzhe Sun; University of Science and Technology of China
         Feng Zhao; University of Science and Technology of China
         Feng Wu; University of Science and Technology of China
 
   ARS-4.5: PCNET: PARALLELLY CONQUER THE LARGE VARIANCE OF PERSON RE-IDENTIFICATION
         Jianyuan Wang; Beihang University
         Meiyue You; Beijing University of Chemical Technology
         Biao Leng; Beihang University
         Ming Jiang; Beihang University
         Guanglu Song; Beihang University
 
   ARS-4.6: ADVERSARIAL CROSS-SCALE ALIGNMENT PURSUIT FOR SERIOUSLY MISALIGNED PERSON RE-IDENTIFICATION
         Yuanhang He; Shanghai Jiao Tong University
         Hua Yang; Shanghai Jiao Tong University
         Lin Chen; Shanghai Jiao Tong University
 
   ARS-4.7: IMPROVING ATTRIBUTE-BASED PERSON RETRIEVAL BY USING A CALIBRATED, WEIGHTED, AND DISTRIBUTION-BASED DISTANCE METRIC
         Andreas Specker; Karlsruhe Institute of Technology
         Jürgen Beyerer; Fraunhofer IOSB
 
   ARS-4.8: MULTI-CAMERA VIDEO SCENE GRAPHS FOR SURVEILLANCE VIDEOS INDEXING AND RETRIEVAL
         Toshal Patel; National University of Singapore
         Alvin Yan Hong Yao; National University of Singapore
         Yu Qiang; Seagate Technology
         Wei Tsang Ooi; National University of Singapore
         Roger Zimmermann; National University of Singapore
 
   ARS-4.9: SEMANTIC-PRESERVING METRIC LEARNING FOR VIDEO-TEXT RETRIEVAL
         Sungkwon Choo; NCSOFT
         Seong Jong Ha; NCSOFT
         Joonsoo Lee; NCSOFT
 
   ARS-4.10: LEARNING REGIONAL ATTENTION OVER MULTI-RESOLUTION DEEP CONVOLUTIONAL FEATURES FOR TRADEMARK RETRIEVAL
         Osman Tursun; Queensland University of Technology
         Simon Denman; Queensland University of Technology
         Sridha Sridharan; Queensland University of Technology
         Clinton Fookes; Queensland University of Technology
 
   ARS-4.11: GAT-ASSISTED DEEP HASHING FOR MULTI-LABEL IMAGE RETRIEVAL
         Jiachen Li; Wuhan University of Technology
         Zhi Li; Wuhan University of Technology
         Yanchun Ma; Wuhan University of Technology
         Qing Xie; Wuhan University of Technology
         Yongjian Liu; Wuhan University of Technology