Technical Program

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TA.L3: Pedestrian Detection

Session Type: Lecture
Time: Tuesday, September 24, 10:30 - 12:18
Location: Room 105 (1F)
Session Chair: Senem Velipasalar, Syracuse University
 
 TA.L3.1: OCCLUDED PEDESTRIAN DETECTION WITH VISIBLE IOU AND BOX SIGN PREDICTOR
         Ruiqi Lu; Tsinghua University
         Huimin Ma; Tsinghua University
 
 TA.L3.2: LEARNING LIGHTWEIGHT PEDESTRIAN DETECTOR WITH HIERARCHICAL KNOWLEDGE DISTILLATION
         Rui Chen; Tsinghua University
         Haizhou Ai; Tsinghua University
         Chong Shang; Tsinghua University
         Long Chen; Tsinghua University
         Zijie Zhuang; Tsinghua University
 
 TA.L3.3: UNPAIRED CROSS-SPECTRAL PEDESTRIAN DETECTION VIA ADVERSARIAL FEATURE LEARNING
         Minsu Kim; Yonsei University
         Sunghun Joung; Yonsei University
         Kihong Park; Yonsei University
         Seungryong Kim; École Polytechnique Fédérale de Lausanne (EPFL)
         Kwanghoon Sohn; Yonsei University
 
 TA.L3.4: SAFE-NET: SOLID AND ABSTRACT FEATURE EXTRACTION NETWORK FOR PEDESTRIAN ATTRIBUTE RECOGNITION
         Daiheng Gao; Lynxi Technology
         Zhenzhi Wu; Tsinghua University
         Weihao Zhang; Tsinghua University
 
 TA.L3.5: DOMAIN-ADAPTIVE PEDESTRIAN DETECTION IN THERMAL IMAGES
         Tiantong Guo; Pennsylvania State University
         Cong Phuoc Huynh; Amazon Lab126
         Mashhour Solh; Amazon Lab126
 
 TA.L3.6: MULTI-RESOLUTION GENERATIVE ADVERSARIAL NETWORKS FOR TINY-SCALE PEDESTRIAN DETECTION
         Ruihao Yin; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University