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Competition
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Sat 14:30
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Invited talk: The Journey Towards Universal Perception: Experiments in Unsupervised, Multi-Task, Multi-Domain, Multi-Modal, and Multi-Channel Learning
John R. Hershey
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Workshop
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Sun 11:56
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Sunny Gupta & Amit Sethi. FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator
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Workshop
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FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein Estimator
Sunny Kumar Gupta · Amit Sethi
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Poster
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Wed 11:00
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Towards Multi-Domain Learning for Generalizable Video Anomaly Detection
MyeongAh Cho · Taeoh Kim · Minho Shim · Dongyoon Wee · Sangyoun Lee
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Workshop
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Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
Alexey Rukhovich · Alexander Podolskiy · Irina Piontkovskaya
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Poster
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Thu 11:00
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One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
Zhenyu Wang · Ya-Li Li · Hengshuang Zhao · Shengjin Wang
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Poster
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Fri 11:00
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UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
Jiachen Liang · RuiBing Hou · Minyang Hu · Hong Chang · Shiguang Shan · Xilin Chen
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Poster
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Fri 16:30
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Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
Haoxin Liu · Shangqing Xu · Zhiyuan Zhao · Lingkai Kong · Harshavardhan Prabhakar Kamarthi · Aditya Sasanur · Megha Sharma · Jiaming Cui · Qingsong Wen · Chao Zhang · B. Aditya Prakash
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Poster
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Fri 16:30
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Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts
Andong Wang · Yuning Qiu · Mingyuan Bai · Zhong Jin · Guoxu Zhou · Qibin Zhao
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Poster
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Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
Yuwu Lu · Haoyu Huang · Xue Hu
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Oral
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Wed 15:50
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The Sample-Communication Complexity Trade-off in Federated Q-Learning
Sudeep Salgia · Yuejie Chi
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Poster
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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
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