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1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
Benjamin Kiefer, Matej Kristan, Janez Perš +70
The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…
Body Part-Based Representation Learning for Occluded Person Re-Identification
Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi
Occluded person re-identification (ReID) is a person retrieval task which aims at matching occluded person images with holistic ones. For addressing occluded ReID, part-based metho…
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Parth Kothari, Danya Li, Yuejiang Liu +1
Deep motion forecasting models have achieved great success when trained on a massive amount of data. Yet, they often perform poorly when training data is limited. To address this c…
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
Parth Kothari, Alexandre Alahi
Human trajectory forecasting in crowds presents the challenges of modelling social interactions and outputting collision-free multimodal distribution. Following the success of Soci…
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Megh Shukla, Roshan Roy, Pankaj Singh +2
Advances in computing have enabled widespread access to pose estimation, creating new sources of data streams. Unlike mock set-ups for data collection, tapping into these data stre…
SoccerNet 2022 Challenges Results
Silvio Giancola, Anthony Cioppa, Adrien Deliège +91
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…
A generic diffusion-based approach for 3D human pose prediction in the wild
Saeed Saadatnejad, Ali Rasekh, Mohammadreza Mofayezi +4
Predicting 3D human poses in real-world scenarios, also known as human pose forecasting, is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and occlu…
Pedestrian 3D Bounding Box Prediction
Saeed Saadatnejad, Yi Zhou Ju, Alexandre Alahi
Safety is still the main issue of autonomous driving, and in order to be globally deployed, they need to predict pedestrians' motions sufficiently in advance. While there is a lot…
Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
Dongxu Guo, Taylor Mordan, Alexandre Alahi
Forecasting pedestrians' future motions is essential for autonomous driving systems to safely navigate in urban areas. However, existing prediction algorithms often overly rely on…