Jisoo Kim @jisooslog
PhD Student in Visual Computing Lab in Seoul National University | 3D Computer Vision, Human-Object Interaction jlogkim.github.io Joined June 2022-
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Jisoo Kim retweeted
[1/N] Large flow policies (e.g., VLAs) have become extremely popular, unlocking scalability. However, they come at a cost: the robot cannot react quickly. π𝐑² enables them to achieve reactive, real-time control.
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Jisoo Kim retweeted
Introducing HRDexDB — the first dataset of paired human–robot dexterous grasping sequences over the same objects. Diverse hand embodiments, 100 objects, and accurate 3D annotations. 🌐 Project: snuvclab.github.io/HRDexDB/ 🤗 Dataset: huggingface.co/datasets/HRDex…
For long-horizon tasks, ZeroDex closes the loop with task verification and retry. We demonstrate zero-shot dexterous manipulation across unseen objects, tool-use tasks, and long-horizon real-robot scenarios. 🌐 Project: jlogkim.github.io/zerodex/ 📄 Paper: arxiv.org/abs/2606.19340
Introducing ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning VLMs know what to do. ZeroDex grounds that reasoning in multi-view 3D, enabling robots to perform dexterous actions. No task-specific demos. No policy fine-tuning.
Jisoo Kim retweeted
We introduce 🖐️🌏 𝐃𝐞𝐱𝐭𝐞𝐫𝐨𝐮𝐬 𝐖𝐨𝐫𝐥𝐝 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐃𝐖𝐌) — a scene-action-conditioned video diffusion model that simulates human manipulation in static 3D scenes from egocentric hand motions. 📄 Paper: arxiv.org/abs/2512.17907 🌐 Project Page: snuvclab.github.io/dwm/
The full version of the ParaHome dataset is now available! 🎉 Check out our webpage: github.com/snuvclab/ParaH… - 486 min, 207 sequences, 38 subjects - 3D parameterized 22 objects - Text annot. for every action - Full 3D mocap for body and hand movements - Sequential HOI scenarios
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