Semantic segmentation is crucial in remote sensing, where high-resolutio...
Recent advances in Neural Radiance Fields (NeRF) boast impressive
perfor...
3D computer vision models are commonly used in security-critical applica...
Hyperspectral imaging has attracted significant attention to identify
sp...
The recent and increasing interest in video-language research has driven...
Toward the goal of automatic production for sports broadcasts, a paramou...
We introduce the idea of using learnable neighbor-to-grid soft assignmen...
Understanding videos is challenging in computer vision. In particular, t...
Action spotting is an important element of general activity understandin...
In autonomous driving pipelines, perception modules provide a visual
und...
Tracking vehicles in LIDAR point clouds is a challenging task due to the...
Point clouds are challenging to process due to their sparsity, therefore...
In this paper, we introduce SoccerNet, a benchmark for action spotting i...
Despite the numerous developments in object tracking, further developmen...
In this paper, we show how absolute orientation measurements provided by...
In this work, we propose a method for three-dimensional (3D) reconstruct...