most citedSoccerNet 2024 Challenges Results

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cs.CV2025

RUMPL: Ray-Based Transformers for Universal Multi-View 2D to 3D Human Pose Lifting

Seyed Abolfazl Ghasemzadeh, Alexandre Alahi, Christophe De Vleeschouwer

Estimating 3D human poses from 2D images remains challenging due to occlusions and projective ambiguity. Multi-view learning-based approaches mitigate these issues but often fail t…

cs.CV2025

SoccerNet 2025 Challenges Results

Silvio Giancola, Anthony Cioppa, Marc Gutiérrez-Pérez +115

The SoccerNet 2025 Challenges mark the fifth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in football video understandi…

cs.CV2025

CAMELTrack: Context-Aware Multi-cue ExpLoitation for Online Multi-Object Tracking

Vladimir Somers, Baptiste Standaert, Victor Joos +2

Online multi-object tracking has been recently dominated by tracking-by-detection (TbD) methods, where recent advances rely on increasingly sophisticated heuristics for tracklet re…

cs.CV20241 cited

SoccerNet 2024 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +81

The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple t…

cs.CV2024

MPL: Lifting 3D Human Pose from Multi-view 2D Poses

Seyed Abolfazl Ghasemzadeh, Alexandre Alahi, Christophe De Vleeschouwer

Estimating 3D human poses from 2D images is challenging due to occlusions and projective acquisition. Learning-based approaches have been largely studied to address this challenge,…

cs.CV2024

Keypoint Promptable Re-Identification

Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi

Occluded Person Re-Identification (ReID) is a metric learning task that involves matching occluded individuals based on their appearance. While many studies have tackled occlusions…