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PhD in 3D Vision @Stanford | MSc CS @ETH | Ex @Qualcomm, @MercedesBenz W: sayands.github.io
Sayan Deb Sarkar







πŸ”— arXiv: arxiv.org/abs/2502.15011 πŸ“‚ Project page: sayands.github.io/crossover/ Joint work with Ondrej Miksik, @marcpollefeys.bsky.social, @danielbarath.bsky.social and @ir0armeni.bsky.social πŸ€πŸ’‘
Feb 26, 2025
✨ Excited to head off to Nashville for #CVPR2025 🎀 Catch me at the poster sessions or just come say hi to grab β˜• πŸ—“οΈ Friday 13 June 4:00 p.m. - 6:00 p.m. CDT πŸ“ Poster Session #2 β€” Exhibit Hall D Highlight Poster #346 (1/3)
πŸ† CrossOver is accepted as a π—›π—Άπ—΄π—΅π—Ήπ—Άπ—΄π—΅π˜ at #CVPR2025! ✨ πŸ’» Fully open-sourced code with all pre-trained checkpoints: github.com/GradientSpac... πŸ“‘ Stay tuned for a deep-dive thread and what else we are cooking 🍳
Sayan Deb Sarkar
πŸ—“οΈ Thursday 12 June 3:00 p.m. - 3:45 p.m. CDT πŸ“ OpenSun3D Workshop Poster Session Arch 211 (2/3)
πŸŽ‰ Excited to share our latest work, CrossOver: 3D Scene Cross-Modal Alignment, accepted to #CVPR2025 🌐✨ We learn a unified, modality-agnostic embedding space, enabling seamless scene-level alignment across multiple modalities β€” no semantic annotations needed!πŸš€
Jun 10, 2025
Apr 7, 2025
Jun 10, 2025
Feb 26, 2025
πŸ“° Paper: arxiv.org/abs/2502.15011 ▢️ Project Page: sayands.github.io/crossover/ πŸ’» Codebase: github.com/GradientSpaces… Work w/ Ondrej Miksik, @marcpollefeys.bsky.social, @danielbarath.bsky.social and @ir0armeni.bsky.social ✨ (3/3)
Video
Jun 10, 2025
πŸš€πŸš€PaliGemma 2 is our updated and improved PaliGemma release using the Gemma 2 models and providing new pre-trained checkpoints for the full cross product of {224px,448px,896px} resolutions and {3B,10B,28B} model sizes. 1/7
Sayan Deb Sarkar
Sayan Deb Sarkar
Sayan Deb Sarkar
Sayan Deb Sarkar
Dec 5, 2024
πŸ₯³Excited to share our latest work, WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments, accepted to #CVPR2025 🌐 We present a robust monocular RGB SLAM system that uses uncertainty-aware tracking and mapping to handle dynamic scenes.
Sayan Deb Sarkar
Apr 10, 2025
Video
Andreas Steiner
Multi-modal 3D object understanding has gained significant attention, yet current approaches often assume complete data availability and rigid alignment across all modalities. We present CrossOver, a ...
arxiv.org
CrossOver: 3D Scene Cross-Modal Alignment