Can we match vision and language representations without any supervision or paired data? Surprisingly, yes!  Our #CVPR2025 paper with @neekans.bsky.social and @dcremers.bsky.social shows that the pairwise distances in both modalities are often enough to find correspondences. ⬇️ 1/4

Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction Weirong Chen, @ganlinzhang.xyz, @fwimbauer.bsky.social, Rui Wang, @neekans.bsky.social, Andrea Vedaldi, @dcremers.bsky.social tl;dr: learning-based 3D point tracker decouples camera and object-based motion arxiv.org/abs/2504.14516

📢 #CVPR2025 Highlight: Scene-Centric Unsupervised Panoptic Segmentation 🔥 We present CUPS, the first unsupervised panoptic segmentation method trained directly on scene-centric imagery. Using self-supervised features, depth & motion, we achieve SotA results! 🌎 visinf.github.io/cups

“After carefully reading the other reviews and the author response, I keep my score ‘borderline’” 😣 #CVPR2025

📢 I am #hiring 2x #PhD candidates to work on Human-centric #3D #ComputerVision at the University of #Amsterdam! The positions are funded by an #ERC #StartingGrant. For details and for submitting your application please see: werkenbij.uva.nl/en/vacancies... 🆘 Deadline: Feb 16 🆘

My group is looking for motivated PhD students that want to work on the future of digital humans. Within the ERC project 'LeMo: Learning Digital Humans in Motion' there are two open positions: www.career.tu-darmstadt.de/HPv3.Jobs/TU... www.career.tu-darmstadt.de/HPv3.Jobs/TU...