TP1.L3: Perception Models in Visual AI Systems - II
Tue, 29 Oct, 14:30 - 16:00 Gulf Standard Time (UTC +4)
Location: Lecture Room 3
Session Type: Lecture
Session Chair: Simone Milani, University of Padova
Track: Visual Artificial Intelligence
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Tue, 29 Oct, 14:30 - 14:48 Gulf Standard Time (UTC +4)

TP1.L3.1: MULTIMODAL-ENHANCED OBJECTNESS LEARNER FOR CORNER CASE DETECTION IN AUTONOMOUS DRIVING
Lixing Xiao, Ruixiao Shi, Xiaoyang Tang, Yi Zhou, Southeast University, China
Tue, 29 Oct, 14:48 - 15:06 Gulf Standard Time (UTC +4)

TP1.L3.2: CONTINUAL ROAD-SCENE SEMANTIC SEGMENTATION VIA FEATURE-ALIGNED SYMMETRIC MULTI-MODAL NETWORK
Francesco Barbato, Elena Camuffo, Simone Milani, Pietro Zanuttigh, University of Padova, Italy
Tue, 29 Oct, 15:06 - 15:24 Gulf Standard Time (UTC +4)

TP1.L3.3: OPEN WORLD OBJECT DETECTION VIA COOPERATIVE FOUNDATION MODELS FOR DRIVING SCENES
Sheng Luo, Yi Zhou, Southeast University, China
Tue, 29 Oct, 15:24 - 15:42 Gulf Standard Time (UTC +4)

TP1.L3.4: POSE-INVARIANT LEARNING FOR EFFICIENT PERSON IDENTIFICATION FROM HYPERSPECTRAL HAND IMAGES
Keigo Kunikata, Amane Kashino, Yota Yamamoto, Yukinobu Taniguchi, Tokyo University of Science, Japan; Yoko Sogabe, Ayumi Matsumoto, Masaki Kitahara, NTT Corporation, Japan; Go Irie, Tokyo University of Science, Japan
Tue, 29 Oct, 15:42 - 16:00 Gulf Standard Time (UTC +4)

TP1.L3.5: RFNET: REFINED FUSION THREE-BRANCH RGB-D SALIENT OBJECT DETECTION NETWORK
Kexuan Wang, University of Shanghai for Science and Technology, China; Chenhua Liu, Guangzhou Nansha Intelligent Photonic Sensing Research Institute, China; Huiguang Wei, Li Jing, Rongfu Zhang, University of Shanghai for Science and Technology, China