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Temporal Feature Distillation for Label-Efficient Precise Event Spotting in Sports Videos
Hao Xu, Xinyu Wei, Sam Wells +1
Precise Event Spotting (PES) requires distinguishing visually similar yet semantically distinct adjacent frames, making it fundamentally different from image classification and coa…
EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning
Binzhu Xie, Shi Qiu, Sicheng Zhang +5
Robust 3D hand reconstruction in egocentric vision is challenging due to depth ambiguity, self-occlusion, and complex hand-object interactions. Prior methods mitigate these issues…
TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videos
Hao Xu, Arbind Agrahari Baniya, Sam Wells +3
Robust ball tracking under occlusion remains a key challenge in sports video analysis, affecting tasks like event detection and officiating. We present TOTNet, a Temporal Occlusion…
Multi-Focus Temporal Shifting for Precise Event Spotting in Sports Videos
Hao Xu, Xinyu Wei, Sam Wells +1
Precise Event Spotting (PES) in sports videos requires frame-level recognition of fine-grained actions from single-camera footage. Existing PES models typically incorporate lightwe…
Towards Fine-Grained Emotion Understanding via Skeleton-Based Micro-Gesture Recognition
Hao Xu, Lechao Cheng, Yaxiong Wang +2
We present our solution to the MiGA Challenge at IJCAI 2025, which aims to recognize micro-gestures (MGs) from skeleton sequences for the purpose of hidden emotion understanding. M…
Deep Learning for Sports Video Event Detection: Tasks, Datasets, Methods, and Challenges
Hao Xu, Arbind Agrahari Baniya, Sam Well +3
Video event detection has become a cornerstone of modern sports analytics, powering automated performance evaluation, content generation, and tactical decision-making. Recent advan…