event spotting 1semi-supervised learning 1sports video analysis 1temporal modeling 1vision transformers 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Temporal Feature Distillation for Label-Efficient Precise Event Spotting in Sports Videos
Hao Xu, Xinyu Wei, Sam Wells +1
The paper introduces a semi-supervised Temporal Feature Distillation method and a Transformer Gate Shift module to improve precise event spotting in sports videos with limited labe…
cs.CV2025
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…
cs.CV2025
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…