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20132025
most cited1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

12 citations · 19 across the 9 of their papers we have counts for

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10 papers · 1 filter

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.CV20251 cited

Online Gaussian Test-Time Adaptation of Vision-Language Models

Clément Fuchs, Maxime Zanella, Christophe De Vleeschouwer

Online test-time adaptation (OTTA) of vision-language models (VLMs) has recently garnered increased attention to take advantage of data observed along a stream to improve future pr…

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.CV202212 cited

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…

cs.CV20221 cited

Accelerating the creation of instance segmentation training sets through bounding box annotation

Niels Sayez, Christophe De Vleeschouwer

Collecting image annotations remains a significant burden when deploying CNN in a specific applicative context. This is especially the case when the annotation consists in binary m…

cs.CV20211 cited

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…