4 citations · 4 across the 3 of their papers we have counts for
3 papers
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
Cijo Jose, Théo Moutakanni, Dahyun Kang +11
Self-supervised visual foundation models produce powerful embeddings that achieve remarkable performance on a wide range of downstream tasks. However, unlike vision-language models…
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński +1
The emergence of CLIP has opened the way for open-world image perception. The zero-shot classification capabilities of the model are impressive but are harder to use for dense task…
MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud
Michaël Ramamonjisoa, Sinisa Stekovic, Vincent Lepetit
We present MonteBoxFinder, a method that, given a noisy input point cloud, fits cuboids to the input scene. Our primary contribution is a discrete optimization algorithm that, from…