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김 영규

About Posts
[NeurIPS 2025] PhysX-3D: Physical-Grounded 3D Asset Generation
  • Posted on: 11/23/2025 –
  • Comments: 4 Comments
[IROS 2025] RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation
  • Posted on: 11/17/2025 –
  • Comments: 4 Comments
[IROS 2025] Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels
  • Posted on: 10/20/2025 –
  • Comments: 6 Comments
CoRL 2025 참관기
  • Posted on: 10/13/2025 –
  • Comments: No Comments
Human to Robot (H2R): Workshop on Sensorizing, Modeling, and Learning from Humans
  • Posted on: 09/27/2025 –
  • Comments: 3 Comments
Reinforcement Study (Q-learning ~ Actor-Critic)
  • Posted on: 09/22/2025 –
  • Comments: 9 Comments
[CoRL 2025(Oral)] X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real
  • Posted on: 09/14/2025 –
  • Comments: 7 Comments
[RSS 2025] Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation
  • Posted on: 09/07/2025 –
  • Comments: 8 Comments
2025년도 하계 URP 조교를 마치며
  • Posted on: 08/31/2025 –
  • Comments: 1 Comment
[ICCV 2025] RoboPearls: Editable Video Simulation for Robot Manipulation
  • Posted on: 08/18/2025 –
  • Comments: 5 Comments
1 2 … 4 5 Older Posts

Conference Deadline

NEW POST

  • [arXiv 2025] VideoRAG: Retrieval-Augmented Generation over Video Corpus
  • [WACV 2026] UNO: Unifying One-stage Video Scene Graph Generation via Object-Centric Visual Representation Learning
  • DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
  • [NeurIPS 2020]Object-Centric Learning with Slot Attention
  • [ICRA 2024]NoMaD : Goal Masked Diffusion Policies for Navigation and Exploration

New Comment

  1. 김 영규 on [NeurIPS 2025] PhysX-3D: Physical-Grounded 3D Asset Generation11/26/2025

    안녕하세요 정민님 댓글 감사합니다. 정리를 하자면 Absolute Scale의 경우는 사람이 직접 기입합니다. Kinematics에 관련된 부분도 수학적인 기하 알고리즘을 통해 접촉면…

  2. 김 영규 on [NeurIPS 2025] PhysX-3D: Physical-Grounded 3D Asset Generation11/26/2025

    안녕하세요 우현님, 다른 리뷰에 대한 댓글인것 같긴 한데, 일단 답변 드리겠습니다 우선 Robo-SAM 자체가 segment 해야하는게 쉽게 로봇, task 관련…

  3. 김 영규 on [IROS 2025] RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation11/26/2025

    안녕하세요 정우님 댓글 감사합니다. 답변이 늦어 죄송합니다 음.. 일단 최근 Imitation Learning 모델들은 rollout 단위로 학습하지 않고 video 기준으로 특정…

  4. 김 영규 on [IROS 2025] RoboEngine: Plug-and-Play Robot Data Augmentation with Semantic Robot Segmentation and Background Generation11/26/2025

    안녕하세요 정민님 댓글 감사합니다. 답변이 늦은점 죄송합니다,, A 1,2 (제가 설명을 깔끔하게 못 한것 같습니다,,) Robo-SAM이 저자들이 제안한 3800장의 데이터셋으로…

  5. 신 인택 on [NeurIPS 2020]Object-Centric Learning with Slot Attention11/25/2025

    안녕하세요 재연님 답글 감사합니다. 각 질문에 대해서 답글을 달아드리자면 1. 논문에서 learnable slot 에 대해서 언급하지는 않았으나 random sampled slot이…

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