Technical Program

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TA.L2: Deep Learning

Session Type: Lecture
Time: Tuesday, September 24, 10:30 - 12:18
Location: Room 103 (1F)
Session Chair: Jen-Hui Chuang, National Chiao Tung University
 
 TA.L2.1: REVE: REGULARIZING DEEP LEARNING WITH VARIATIONAL ENTROPY BOUND
         Antoine Saporta; Sorbonne Université
         Yifu Chen; Sorbonne Université
         Michael Blot; Sorbonne Université
         Matthieu Cord; Sorbonne Université
 
 TA.L2.2: DEEPSUB: A NOVEL SUBSET SELECTION FRAMEWORK FOR TRAINING DEEP LEARNING ARCHITECTURES
         Subhankar Banerjee; Florida State University
         Shayok Chakraborty; Florida State University
 
 TA.L2.3: AN ADAPTIVE FILTER FOR DEEP LEARNING NETWORKS ON LARGE-SCALE POINT CLOUD
         Wang Zhao; Tsinghua University
         Ran Yi; Tsinghua University
         Yong-Jin Liu; Tsinghua University
 
 TA.L2.4: AN EVALUATION OF DEEP LEARNING TECHNIQUES FOR QR CODE DETECTION
         Leonardo Blanger; University of São Paulo
         Nina S. T. Hirata; University of São Paulo
 
 TA.L2.5: SALIENCY DETECTION VIA TOPOLOGICAL FEATURE MODULATED DEEP LEARNING
         Jiazhong Chen; Huazhong University of Science and Technology
         Qingqing Li; Huazhong University of Science and Technology
         Weimin Wu; Fujian Chuanzheng Communications College
         Hefei Ling; Huazhong University of Science and Technology
         Lei Wu; Huazhong University of Science and Technology
         Baiyan Zhang; Huazhong University of Science and Technology
         Ping Li; Huazhong University of Science and Technology
 
 TA.L2.6: DEEP LEARNING-BASED OBSTACLE DETECTION AND DEPTH ESTIMATION
         Yi-Yu Hsieh; National Chiao Tung University
         Wei-Yu Lin; National Chiao Tung University
         Dong-Lin Li; National Chiao Tung University
         Jen-Hui Chuang; National Chiao Tung University