WP.L1: Object Recognition and Classification VI |
Session Type: Lecture |
Time: Wednesday, September 25, 14:10 - 15:58 |
Location: Room 102 (1F) |
Session Chair: Alexandros Iosifidis, Aarhus University |
WP.L1.1: HALLUCINATING A CLEANLY LABELED AUGMENTED DATASET FROM A NOISY LABELED DATASET USING GAN |
Florent Chiaroni; CNRS-CentraleSupelec-Université Paris-Sud-Université Paris-Saclay, and VEDECOM Institute |
Mohamed-Cherif Rahal; VEDECOM institute |
Nicolas Hueber; French-German Research Institute of Saint-Louis (ISL) |
Frédéric Dufaux; CNRS-CentraleSupelec-Université Paris-Sud-Université Paris-Saclay |
WP.L1.2: LOL: LEARNING TO OPTIMIZE LOSS SWITCHING UNDER LABEL NOISE |
Ryuichiro Hataya; University of Tokyo |
Hideki Nakayama; University of Tokyo |
WP.L1.3: AGE ESTIMATION USING TRAINABLE GABOR WAVELET LAYERS IN A CONVOLUTIONAL NEURAL NETWORK |
Hyuk Jin Kwon; Seoul National University |
Hyung Il Koo; Ajou University |
Jae Woong Soh; Seoul National University |
Nam Ik Cho; Seoul National University |
WP.L1.4: ESTIMATING PHYSICAL ACTIVITY INTENSITY AND ENERGY EXPENDITURE USING COMPUTER VISION ON VIDEOS |
Philip Saponaro; University of Delaware |
Haoran Wei; University of Delaware |
Gregory Dominick; University of Delaware |
Chandra Kambhamettu; University of Delaware |
WP.L1.5: CROSS-CONNECTED NETWORKS FOR MULTI-TASK LEARNING OF DETECTION AND SEGMENTATION |
Rei Kawakami; University of Tokyo |
Ryota Yoshihashi; University of Tokyo |
Seiichiro Fukuda; University of Tokyo |
Shaodi You; Data61, CSIRO |
Makoto Iida; University of Tokyo |
Takeshi Naemura; University of Tokyo |