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Nikita Araslanov

@neekans.bsky.social
94 followers 212 following 5 posts

Researcher at University of Oxford / TU Munich arnike.github.io

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Nikita Araslanov @neekans.bsky.social · 28/05/2026
In-context learning suggests that a model has learned versatile representations. What if we use in-context learning itself as a training task for visual representations? 📣 Introducing 𝗟𝗜𝗟𝗔: 𝗟𝗶𝗻𝗲𝗮𝗿 𝗜𝗻-𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ✨ CVPR 2026 Oral ✨ Paper, code and more: lila-pixels.github.io #CVPR2026 🧵👇
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Nikita Araslanov @neekans.bsky.social · 02/12/2025
📢 NeurIPS 2025 Spotlight 📢 Can we embed motion into image representations? FlowFeat embeds optical flow into pixel-level representations, which results in sharp feature grids, especially for dynamic objects. Project website: tum-vision.github.io/flowfeat With Anna Sonnweber and Daniel Cremers.
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Dominik Schnaus @schnaus.bsky.social · 03/06/2025
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
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Zhenjun Zhao @ericzzj.bsky.social · 23/04/2025
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
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Visual Inference Lab @visinf.bsky.social · 04/04/2025
📢 #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
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Nikita Araslanov @neekans.bsky.social · 04/02/2025
“After carefully reading the other reviews and the author response, I keep my score ‘borderline’” 😣 #CVPR2025
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Dimitris Tzionas @dimtzionas.bsky.social · 26/01/2025
📢 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 🆘
werkenbij.uva.nl
Vacancy — PhD Positions, Project 'Spatiotemporal Reconstruction of Interacting People for Perceiving Systems'
Do you want to help computers see, understand, and assist us, humans, in everyday life?  Are you excited with 3D Machine Perception, 3D Human and Object Understanding, 3D Human Avatars, and Machine Le...
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Justus Thies @justusthies.bsky.social · 14/01/2025
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...
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