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 |