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cs.CV2026
Variance & Greediness: A comparative study of metric-learning losses
Donghuo Zeng, Hao Niu, Zhi Li +1
Metric learning is central to retrieval, yet its effects on embedding geometry and optimization dynamics are not well understood. We introduce a diagnostic framework, VARIANCE (int…
cs.CV2024
Top-down Activity Representation Learning for Video Question Answering
Yanan Wang, Shuichiro Haruta, Donghuo Zeng +2
Capturing complex hierarchical human activities, from atomic actions (e.g., picking up one present, moving to the sofa, unwrapping the present) to contextual events (e.g., celebrat…
cs.CV2024
Multi-object event graph representation learning for Video Question Answering
Yanan Wang, Shuichiro Haruta, Donghuo Zeng +2
Video question answering (VideoQA) is a task to predict the correct answer to questions posed about a given video. The system must comprehend spatial and temporal relationships amo…