activity
20162026
most citedVideo Transformers: A Survey

168 citations · 641 across the 59 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.CV2025

Sea-ing Through Scattered Rays: Revisiting the Image Formation Model for Realistic Underwater Image Generation

Vasiliki Ismiroglou, Malte Pedersen, Stefan H. Bengtson +2

In recent years, the underwater image formation model has found extensive use in the generation of synthetic underwater data. Although many approaches focus on scenes primarily aff…

cs.CV2025

SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation

Diana-Nicoleta Grigore, Neelu Madan, Andreas Mogelmose +2

Unsupervised video segmentation is a challenging computer vision task, especially due to the lack of supervisory signals coupled with the complexity of visual scenes. To overcome t…

cs.CV2025

COOkeD: Ensemble-based OOD detection in the era of zero-shot CLIP

Galadrielle Humblot-Renaux, Gianni Franchi, Sergio Escalera +1

Out-of-distribution (OOD) detection is an important building block in trustworthy image recognition systems as unknown classes may arise at test-time. OOD detection methods typical…

cs.CV2025

Point Cloud Segmentation of Agricultural Vehicles using 3D Gaussian Splatting

Alfred T. Christiansen, Andreas H. Højrup, Morten K. Stephansen +6

Training neural networks for tasks such as 3D point cloud semantic segmentation demands extensive datasets, yet obtaining and annotating real-world point clouds is costly and labor…

cs.CV2025

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer

Filip Slezak, Magnus K. Gjerde, Joakim B. Haurum +3

In this paper, we introduce a 3D Gaussian Splatting (3DGS)-based pipeline for stereo dataset generation, offering an efficient alternative to Neural Radiance Fields (NeRF)-based me…

cs.CV2025

Action Anticipation from SoccerNet Football Video Broadcasts

Mohamad Dalal, Artur Xarles, Anthony Cioppa +6

Artificial intelligence has revolutionized the way we analyze sports videos, whether to understand the actions of games in long untrimmed videos or to anticipate the player's motio…