activity
20082026
most citedBody Part-Based Representation Learning for Occluded Person Re-Identification

196 citations · 439 across the 28 of their papers we have counts for

collaborators

31 papers

cs.SD2026

Leveraging Prediction Entropy for Automatic Prompt Weighting in Zero-Shot Audio-Language Classification

Karim El Khoury, Maxime Zanella, Tiffanie Godelaine +2

Audio-language models have recently demonstrated strong zero-shot capabilities by leveraging natural-language supervision to classify audio events without labeled training data. Ye…

cs.CV2025

NeRF-based Visualization of 3D Cues Supporting Data-Driven Spacecraft Pose Estimation

Antoine Legrand, Renaud Detry, Christophe De Vleeschouwer

On-orbit operations require the estimation of the relative 6D pose, i.e., position and orientation, between a chaser spacecraft and its target. While data-driven spacecraft pose es…

cs.CV2025

On the Geometric Accuracy of Implicit and Primitive-based Representations Derived from View Rendering Constraints

Elias De Smijter, Renaud Detry, Christophe De Vleeschouwer

We present the first systematic comparison of implicit and explicit Novel View Synthesis methods for space-based 3D object reconstruction, evaluating the role of appearance embeddi…

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

Vocabulary-free few-shot learning for Vision-Language Models

Maxime Zanella, Clément Fuchs, Ismail Ben Ayed +1

Recent advances in few-shot adaptation for Vision-Language Models (VLMs) have greatly expanded their ability to generalize across tasks using only a few labeled examples. However,…

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…