Technical Program

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WQ.L2: Crowd Processing

Session Type: Lecture
Time: Wednesday, October 10, 16:20 - 18:00
Location: MC2
Session Chair: Jenny Benoit-Pineau, Université de Bordeaux
 
 WQ.L2.1: DEEP RESIDUAL NETWORK WITH SUBCLASS DISCRIMINANT ANALYSIS FOR CROWD BEHAVIOR RECOGNITION
         Bappaditya Mandal; Keele University
         Jiri Fajtl; Kingston University
         Vasileios Argyriou; Kingston University
         Dorothy Monekosso; Leeds Beckett University
         Paolo Remagnino; Kingston University
 
 WQ.L2.2: SCALE-ADAPTIVE REAL-TIME CROWD DETECTION AND COUNTING FOR DRONE IMAGES
         Markus Küchhold; Technische Universität Berlin
         Maik Simon; Technische Universität Berlin
         Volker Eiselein; Technische Universität Berlin
         Thomas Sikora; Technische Universität Berlin
 
 WQ.L2.3: A-CCNN: ADAPTIVE CCNN FOR DENSITY ESTIMATION AND CROWD COUNTING
         Saeed Amirgholipour; University of Technology Sydney
         Xiangjian He; University of Technology Sydney
         Wenjing Jia; University of Technology Sydney
         Dadong Wang; CSIRO Data61
         Michelle Zeibots; University of Technology Sydney
 
 WQ.L2.4: CROWD COUNTING WITH FULLY CONVOLUTIONAL NEURAL NETWORK
         Ming Liu; JD Finance
         Jue Jiang; MSKCC
         Zhenwei Guo; Central South University
         Zenan Wang; Beijing Chao-Yang Hospital
         Yang Liu; JD Finance
 
 WQ.L2.5: FUSED DISCRIMINATIVE METRIC LEARNING FOR LOW RESOLUTION PEDESTRIAN DETECTION
         Xinzhao Li; The Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
         Yuehu Liu; The Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
         Zeqi Chen; The Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University
         Jiahuan Zhou; EECS, Northwestern University
         Ying Wu; EECS, Northwestern University