MP1.L3.1
Best Paper Candidate

MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer

Taiga Yamane, Satoshi Suzuki, Ryo Masumura, Shotaro Tora, NTT Corporation, Japan
Session:
MP1.L3: Perception Models in Visual AI Systems - I Lecture
Track:
Visual Artificial Intelligence
Location:
Capital Suite - 16
Presentation Time:
Mon, 28 Oct, 14:30 - 14:48 Gulf Standard Time (UTC +4)
Session Chair:
Hanseok Ko, Korea University
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Session MP1.L3
Best Paper Candidate
MP1.L3.1: MVAFormer: RGB-Based Multi-View Spatio-Temporal Action Recognition with Transformer
Taiga Yamane, Satoshi Suzuki, Ryo Masumura, Shotaro Tora, NTT Corporation, Japan
MP1.L3.2: Prune Channel and Distill: Discriminative Knowledge Distillation for Semantic Segmentation
Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong, Hanseok Ko, Korea University, Korea, Republic of
MP1.L3.3: TDAD: TRIDENT DISTILLATIONS FOR ANOMALY DETECTION
Wenrui Hu, China Mobile Research Institute, China; Yuan Xie, East China Normal University, China; Wei Yu, China Mobile Research Institute, China
MP1.L3.4: NEURAL MESH FUSION: UNSUPERVISED 3D PLANAR SURFACE UNDERSTANDING
Farhad G. Zanjani, Hong Cai, Yinhao Zhu, Leyla Mirvakhabova, Fatih Porikli, Qualcomm Technologies Inc., Netherlands
MP1.L3.5: CONTRAST-GUIDED WIREFRAME PARSING
Xueyuan Chen, Baojiang Zhong, Soochow University, China
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