Nina Shvetsova

Nina Shvetsova

@ninashv.bsky.social

PhD student at the University of Tuebingen. Computer vision, video understanding, multimodal learning. https://ninatu.github.io/

71 followers148 following9 posts

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πŸ“Š Results: βœ…Higher Quality: Our approach outperforms previous state-of-the-art methods, being ranked best 2.6x more often than the second-place method in user studies. βœ…Faster: Runs 6x faster than state-of-the-art competitors.

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πŸ’‘ Our Solution: We solve this by extending Stable Video Diffusion to utilize the input video, warped view (using an off-the-shelf depth model), and disocclusion masks to generate a view from the perspective of the other eye, fixing depth errors and inpainting gaps seamlessly.

Do you want to watch monocular videos in a headset with an immersive 3D experience? We propose M2SVid, a novel architecture that converts standard videos into high-quality, temporally consistent stereo.

πŸ›‘ The Problem: Warping standard video to a view from perspective of the other eye is tricky. It creates empty "holes" (disocclusions) and messy depth artifacts where the depth model is inaccurate

Nina Shvetsova reposted

🌍 11 ELLIS Members and Scholars from five countries have received ERC Starting Grants! Congratulations to all awardees! πŸ‘ Last week @erc.europa.eu awarded 478 grants totaling €761M to support early-career researchers across Europe. πŸ”— Learn more: ellis.eu/news/erc-awa...

πŸš€ UTD is now fully released! Code βœ… Models βœ… 2M video descriptions βœ… Debiased splits for 12 datasets βœ… Everything you need to benchmark video models more fairly is now public: πŸ”— github.com/ninatu/utd-p... πŸŽ₯ Let’s make video understanding actually about video understanding.

Nina Shvetsova reposted

Everybody misses the 1-page rebuttal. These lengthy forum style comments are a nightmare: a nightmare for the authors who spend way too much time writing them, a nightmare for the reviewers who spend too much time understanding them, a nightmare for the ACs who will have to summarize all. Stop it!

RΓ©mi Flamary @rflamary.bsky.social

As a #NeurIPS AC I did a little stat. Paper reviews+responses in my batch contain 515k characters and 75k words. This is without including papers themselves or authors/reviewers discussions. So please be nice to your AC, we are doing our best. Also I miss the one page PDF response of old ICML.

Nina Shvetsova reposted

Today, we release Franca, a new vision Foundation Model that matches and often outperforms DINOv2. The data, the training code and the model weights are open-source. This is the result of a close and fun collaboration @valeoai.bsky.social (in France) and @funailab.bsky.social (in Franconia)πŸš€

Andrei Bursuc@abursuc.bsky.social

1/ Can open-data models beat DINOv2? Today we release Franca, a fully open-sourced vision foundation model. Franca with ViT-G backbone matches (and often beats) proprietary models like SigLIPv2, CLIP, DINOv2 on various benchmarks setting a new standard for open-source research.

Nina Shvetsova reposted

πŸš€Excited to announce our CVPR 2025 paper: Unbiasing through Textual Descriptions! We release new descriptions for 1.9M(!) videos and object-debiased splits for 12 datasets! πŸ”—Project: utd-project.github.io by @ninashv.bsky.social et al πŸ§΅πŸ‘‡ @cvprconference.bsky.social

utd-project.github.ioUTD Dataset: Mitigating Representation Bias in Video BenchmarksA dataset with textual descriptions and debiased splits for video benchmarks.

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