5 papers · 1 filter
Training-Free Long-Term Multi-Object Tracking for Sports Video Analytics
Tomasz Stanczyk, Seongro Yoon, Francois Bremond
Long-term multi-object tracking in sports remains challenging due to frequent occlusions, rapid camera motion, and repeated player reappearances. We introduce McByte++, a training-…
WaspMOT: A Benchmark for Long-Term Multi-Object Tracking of Trichogramma Wasps
Tomasz Stanczyk, Yuan Gao, Hardik Agarwal +4
Multi-object tracking (MOT) has achieved strong performance on benchmarks dominated by short video sequences. However, such datasets do not adequately evaluate long-term identity p…
Reweighting Framewise Attention in Video Transformers for Facial Expression Understanding
Seongro Yoon, Donghyeon Cho, Jinsun Park +1
Understanding facial expressions in videos requires modeling subtle and localized facial dynamics under unconstrained conditions. Although recent Vision Transformer (ViT)-based vid…
No Train Yet Gain: Towards Generic Multi-Object Tracking in Sports and Beyond
Tomasz Stanczyk, Seongro Yoon, Francois Bremond
Multi-object tracking (MOT) is essential for sports analytics, enabling performance evaluation and tactical insights. However, tracking in sports is challenging due to fast movemen…
EmoTalkingGaussian: Continuous Emotion-conditioned Talking Head Synthesis
Junuk Cha, Seongro Yoon, Valeriya Strizhkova +2
3D Gaussian splatting-based talking head synthesis has recently gained attention for its ability to render high-fidelity images with real-time inference speed. However, since it is…