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김 태주

About Posts
[SIGGRAPH 2023] 3D Gaussian Splatting for Real-Time Radiance Field Rendering
  • Posted on: 06/16/2024 –
  • Comments: 2 Comments
[CVPR 2024 Spotlight] LangSplat: 3D Language Gaussian Splatting
  • Posted on: 06/03/2024 –
  • Comments: 2 Comments
[arXiv 2024] Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
  • Posted on: 05/07/2024 –
  • Comments: 4 Comments
[ICCV 2023] AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion
  • Posted on: 04/28/2024 –
  • Comments: No Comments
[CVPR 2022] RGB-Depth Fusion GAN for Indoor Depth Completion
  • Posted on: 03/31/2024 –
  • Comments: 2 Comments
[ICCV 2023 oral] Scalable Diffusion Models with Transformers
  • Posted on: 02/25/2024 –
  • Comments: 2 Comments
[ICCV 2023] Random Boxes Are Open-world Object Detectors
  • Posted on: 02/18/2024 –
  • Comments: 4 Comments
[CVPR 2021 oral] Toward Open World Object Detection
  • Posted on: 01/28/2024 –
  • Comments: 2 Comments
[NeurIPS 2023] SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
  • Posted on: 01/21/2024 –
  • Comments: 6 Comments
2023년을 마무리 하며 – 김태주
  • Posted on: 01/08/2024 –
  • Comments: No Comments
Newer Posts 1 2 3 4 5 … 14 15 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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