TU5.L3: Machine Learning in Signal Processing 6
Tue, 16 Sep, 16:30 - 18:00 Anchorage Time (UTC -8)
Location: Room 1
Session Type: Lecture
Session Chair: Shan Du, UBC-O
Track: [ML] Machine Learning in Signal Processing
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Tue, 16 Sep, 16:30 - 16:45 Anchorage Time (UTC -8)

TU5.L3.1: Overlooked Factors in Continual Zero-Shot Learning: Inflexible Semantic Prototypes, Simplistic Loss Functions, and SGD Noise

Qingyang Hao, Lei Li, Chun Yuan, Tsinghua University, China
Tue, 16 Sep, 16:45 - 17:00 Anchorage Time (UTC -8)

TU5.L3.2: IMPLICIT OBJECT RECOGNITION VIA REINFORCEMENT LEARNING IN OUT-OF-DOMAIN SCENARIOS

Kenji Cari Koga, Rei Kawakami, Institute of Science Tokyo, Japan
Tue, 16 Sep, 17:00 - 17:15 Anchorage Time (UTC -8)

TU5.L3.3: HARNESSING FEATURE DISTRIBUTION CONSISTENCY FOR FEDERATED LEARNING WITH NOISY LABELS

Yali Ma, Baoyao Yang, Yanchao Tang, Weide Zhan, Guangdong University of Technology, China; Wenyin Yang, Foshan University, China
Tue, 16 Sep, 17:15 - 17:30 Anchorage Time (UTC -8)

TU5.L3.4: ST-GRIT: SPATIO-TEMPORAL GRAPH TRANSFORMER FOR INTERNAL ICE LAYER THICKNESS PREDICTION

Zesheng Liu, Maryam Rahnemoonfar, Lehigh University, United States
Tue, 16 Sep, 17:30 - 17:45 Anchorage Time (UTC -8)

TU5.L3.5: FINE-GRAINED SPATIAL-TEMPORAL PERCEPTION FOR GAS LEAK SEGMENTATION

Xinlong Zhao, Shan Du, The University of British Columbia - Okanagan, Canada
Tue, 16 Sep, 17:45 - 18:00 Anchorage Time (UTC -8)

TU5.L3.6: When 512×512 Is Not Enough: Local Degradation-Aware Multi-Diffusion for Extreme Image Super-Resolution

Brian Moser, Stanislav Frolov, Tobias Nauen, Federico Raue, Andreas Dengel, German Research Center for Artificial Intelligence, Germany