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About Posts
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
  • Posted on: 05/16/2021 –
  • Comments: 3 Comments
Weakly Supervised Action Selection Learning in Video
  • Posted on: 05/09/2021 –
  • Comments: 1 Comment
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
  • Posted on: 05/02/2021 –
  • Comments: 4 Comments
Consistency-based Active Learning for Object Detection
  • Posted on: 04/05/2021 –
  • Comments: No Comments
ACTION-Net: Multipath Excitation for Action Recognition
  • Posted on: 03/22/2021 –
  • Comments: No Comments
Circle Loss: A Unified Perspective of Pair Similarity Optimization
  • Posted on: 02/28/2021 –
  • Comments: 4 Comments
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling
  • Posted on: 02/08/2021 –
  • Comments: 1 Comment
FRAME ATTENTION NETWORKS FOR FACIAL EXPRESSION RECOGNITION IN VIDEOS
  • Posted on: 01/05/2021 –
  • Comments: 2 Comments
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets
  • Posted on: 01/03/2021 –
  • Comments: No Comments
SMART Frame Selection for Action Recognition
  • Posted on: 12/27/2020 –
  • Comments: 2 Comments
Newer Posts 1 2 … 11 12 13 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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