211 citations · 921 across the 30 of their papers we have counts for
32 papers
SoccerNet 2023 Challenges Results
Anthony Cioppa, Silvio Giancola, Vladimir Somers +99
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles
Michaël Fonder, Marc Van Droogenbroeck
When used by autonomous vehicles for trajectory planning or obstacle avoidance, depth estimation methods need to be reliable. Therefore, estimating the quality of the depth outputs…
VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views
Jan Held, Anthony Cioppa, Silvio Giancola +3
The Video Assistant Referee (VAR) has revolutionized association football, enabling referees to review incidents on the pitch, make informed decisions, and ensure fairness. However…
SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries
Hassan Mkhallati, Anthony Cioppa, Silvio Giancola +2
Soccer is more than just a game - it is a passion that transcends borders and unites people worldwide. From the roar of the crowds to the excitement of the commentators, every mome…
Towards Active Learning for Action Spotting in Association Football Videos
Silvio Giancola, Anthony Cioppa, Julia Georgieva +5
Association football is a complex and dynamic sport, with numerous actions occurring simultaneously in each game. Analyzing football videos is challenging and requires identifying…
Online Distillation with Continual Learning for Cyclic Domain Shifts
Joachim Houyon, Anthony Cioppa, Yasir Ghunaim +5
In recent years, online distillation has emerged as a powerful technique for adapting real-time deep neural networks on the fly using a slow, but accurate teacher model. However, a…
NA-SODINN: a deep learning algorithm for exoplanet image detection based on residual noise regimes
Carles Cantero, Olivier Absil, Carl-Henrik Dahlqvist +1
Supervised deep learning was recently introduced in high-contrast imaging (HCI) through the SODINN algorithm, a convolutional neural network designed for exoplanet detection in ang…
Adaptive Self-Training for Object Detection
Renaud Vandeghen, Gilles Louppe, Marc Van Droogenbroeck
Deep learning has emerged as an effective solution for solving the task of object detection in images but at the cost of requiring large labeled datasets. To mitigate this cost, se…
Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance
Sébastien Piérard, Anthony Cioppa, Anaïs Halin +5
Various tasks encountered in real-world surveillance can be addressed by determining posteriors (e.g. by Bayesian inference or machine learning), based on which critical decisions…
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:…
Exoplanet Imaging Data Challenge, phase II: Characterization of exoplanet signals in high-contrast images
F. Cantalloube, V. Christiaens, C. Cantero +10
Today, there exists a wide variety of algorithms dedicated to high-contrast imaging, especially for the detection and characterisation of exoplanet signals. These algorithms are ta…
Error-rate in Viterbi decoding of a duobinary signal in presence of noise and distortions: theory and simulation
Henri Mertens, Marc Van Droogenbroeck
The Viterbi algorithm, presented in 1967, allows a maximum likelihood decoding of partial response codes. This study focuses on the duobinary code which is the first member of this…
SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos
Anthony Cioppa, Silvio Giancola, Adrien Deliege +5
Tracking objects in soccer videos is extremely important to gather both player and team statistics, whether it is to estimate the total distance run, the ball possession or the tea…
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Renaud Vandeghen, Anthony Cioppa, Marc Van Droogenbroeck
Accurate player and ball detection has become increasingly important in recent years for sport analytics. As most state-of-the-art methods rely on training deep learning networks i…
An exploration of the performances achievable by combining unsupervised background subtraction algorithms
Sébastien Piérard, Marc Braham, Marc Van Droogenbroeck
Background subtraction (BGS) is a common choice for performing motion detection in video. Hundreds of BGS algorithms are released every year, but combining them to detect motion re…
Survey and synthesis of state of the art in driver monitoring
Anaïs Halin, Jacques G. Verly, Marc Van Droogenbroeck
Road-vehicle accidents are mostly due to human errors, and many such accidents could be avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing…
Ordinal Pooling
Adrien Deliège, Maxime Istasse, Ashwani Kumar +2
In the framework of convolutional neural networks, downsampling is often performed with an average-pooling, where all the activations are treated equally, or with a max-pooling ope…
Ghost Loss to Question the Reliability of Training Data
Adrien Deliège, Anthony Cioppa, Marc Van Droogenbroeck
Supervised image classification problems rely on training data assumed to have been correctly annotated; this assumption underpins most works in the field of deep learning. In cons…
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environments
Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck
Estimating the distance to objects is crucial for autonomous vehicles when using depth sensors is not possible. In this case, the distance has to be estimated from on-board mounted…
Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting
Anthony Cioppa, Adrien Deliège, Floriane Magera +4
Soccer broadcast video understanding has been drawing a lot of attention in recent years within data scientists and industrial companies. This is mainly due to the lucrative potent…
Exoplanet Imaging Data Challenge: benchmarking the various image processing methods for exoplanet detection
F. Cantalloube, C. Gomez-Gonzalez, O. Absil +23
The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct…
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
Adrien Deliège, Anthony Cioppa, Silvio Giancola +6
Understanding broadcast videos is a challenging task in computer vision, as it requires generic reasoning capabilities to appreciate the content offered by the video editing. In th…
Multimodal and multiview distillation for real-time player detection on a football field
Anthony Cioppa, Adrien Deliège, Noor Ul Huda +3
Monitoring the occupancy of public sports facilities is essential to assess their use and to motivate their construction in new places. In the case of a football field, the area to…
Summarizing the performances of a background subtraction algorithm measured on several videos
Sébastien Piérard, Marc Van Droogenbroeck
There exist many background subtraction algorithms to detect motion in videos. To help comparing them, datasets with ground-truth data such as CDNET or LASIESTA have been proposed.…