Skip to content

Robotics and Computer Vision Lab

AI in Sensing, AI in Perception, AI in Action

  • About
    • History
    • Photo
    • Admission
  • Members
  • Publications
    • Patents
  • X-Review
  • X-Diary
  • Peer Review

Profile

김 태주

About Posts
[ICCV 2025] Toward Better Out-painting: Improving the Image Composition with Initialization Policy Model
  • Posted on: 12/15/2025 –
  • Comments: No Comments
[ArXiv 2025] VLA-0: Building State-of-the-Art VLAs with Zero Modification
  • Posted on: 10/20/2025 –
  • Comments: 7 Comments
[CoRL 2025] Learning from 10 Demos: Generalisable and Sample-Efficient Policy Learning with Oriented Affordance Frames
  • Posted on: 10/13/2025 –
  • Comments: 3 Comments
[arXiv 2025] OpenHelix: An Open-source Dual-System VLA Model for Robotic Manipulation
  • Posted on: 09/01/2025 –
  • Comments: 4 Comments
[arXiv 2025] DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
  • Posted on: 07/28/2025 –
  • Comments: No Comments
2025년 상반기를 마무리하며
  • Posted on: 07/21/2025 –
  • Comments: 4 Comments
[CoRL 2024] 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
  • Posted on: 07/14/2025 –
  • Comments: No Comments
[IROS 2024] ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition
  • Posted on: 06/09/2025 –
  • Comments: 2 Comments
[arXiv 2025] Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better
  • Posted on: 06/02/2025 –
  • Comments: No Comments
[arXiv 2025] Real2Render2Real: Scaling Robot Data Without Dynamics Simulation or Robot Hardware
  • Posted on: 05/26/2025 –
  • Comments: 2 Comments
1 2 … 14 15 Older Posts

Conference Deadline

NEW POST

  • [CVPR 2025] Video Summarization with Large Language Models
  • [ICCV 2025] Toward Better Out-painting: Improving the Image Composition with Initialization Policy Model
  • [ICCV 2025] How Can Objects Help Video-Language Understanding?
  • [ICCV2025] SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts
  • [NeurIPS2025]AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding

New Comment

  1. 이 재찬 on [IROS 2025] VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model12/16/2025

    승현님, 리뷰 읽어주셔서 감사합니다. 1. 타당한 질문이라고 생각이 들지만, 본 논문에서는 pick-and-place를 low-level primitive action으로 두기 때문에, keyframe selection에서 이동중이다에…

  2. 이 재찬 on [IROS 2025] VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model12/16/2025

    인하님, 리뷰 읽어주셔서 감사합니다! 말씀해주신 부분 중 1. wrist keypoint에 대한 속도만 계산한거냐? -> 손에 모든 keypoints들의 centroid를 계산해서 그…

  3. 이 재찬 on [IROS 2025] VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model12/16/2025

    영규님, 리뷰 읽어주셔서 감사합니다. 1. 저도 리뷰 쓰며 의아했던 부분이긴 합니다. 뭐 저렇게 까지 성공률이 0일수가 있지. 저자들이 실험을 잘못…

  4. 이 재찬 on [IROS 2025] VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model12/16/2025

    예은님, 리뷰 읽어주셔서 감사합니다!
 생각지도 못하고 있었는데, 완전 타당한 질문이네요. 좋은 문제정의 같습니다. 근데 조금 어려운 문제라고 생각이 들어서, 저희가…

  5. 이 재찬 on [IROS 2025] VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model12/16/2025

    태주님, 리뷰 읽어주셔서 감사합니다! Q1. 휴먼비디오작업환경 - 로봇작업환경 이 동일한 배치라는 전제인가? 카메라 뷰포인트나 미세한 위치나 자세조정까지 완벽히 동일 배치는…

  • Sign-in
  • RCV-Calendar
  • RCV-Github
  • Paper R/W
    • Arxiv
    • Deadline
    • Overleaf
  • Coding
    • OnlineJudge
    • Kaggle

포기하지 않는 강한 집념 만이 작은 차이를 만든다.

Design by SejongRCV