Technical Program

ADL-O.2: Signal Processing for Accelerating Deep Learning II

Symposium: Symposium on Signal Processing for Accelerating Deep Learning
Session Type: Oral
Time: Wednesday, November 15, 14:00 - 15:30
Location: Lachine
Session Chair: Xiangyang Ji, Tsinghua University
 
14:00 - 14:18
ADL-O.2.1: INCREMENTAL LEARNING ON CHIP
         Ghouthi Boukli Hacene; IMT Atlantique
         Vincent Gripon; IMT Atlantique
         Nicolas Farrugia; IMT Atlantique
         Matthieu Arzel; IMT Atlantique
         Michel Jezequel; IMT Atlantique
 
14:18 - 14:36
ADL-O.2.2: MOVING OBJECT DETECTION IN VIDEOS USING PRINCIPAL COMPONENT PURSUIT AND CONVOLUTIONAL NEURAL NETWORKS
         Enrique D. Tejada; Pontificia Universidad Catolica del Peru
         Paul A. Rodriguez; Pontificia Universidad Catolica del Peru
 
14:36 - 14:54
ADL-O.2.3: EFFICIENT SEGMENTATION-AIDED TEXT DETECTION FOR INTELLIGENT ROBOTS
         Junting Zhang; University of Southern California
         Yuewei Na; University of Southern California
         Siyang Li; University of Southern California
         C.-C. Jay Kuo; University of Southern California
 
14:54 - 15:12
ADL-O.2.4: EVALUATION OF SUPER-RESOLUTION ON BIRD DETECTION PERFORMANCE BASED ON DEEP CONVOLUTIONAL NETWORKS
         Ce Li; China University of Mining & Technology
         Hanwen Hu; Beihang University
         Baochang Zhang; Beihang University
 
15:12 - 15:30
ADL-O.2.5: CNN-DETECTOR-BASED MULTIPLE HOMOGENEOUS OBJECTS TRACKING UNDER STOCHASTIC WIDE-RANGE OCCLUSIONS
         Yan Li; Beihang University
         Xianbin Cao; Beihang University
         Junying Liu; Beihang University
         Baochang Zhang; Beihang University