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About Posts
[ICCV2023] Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
  • Posted on: 07/19/2026 –
  • Comments: 1 Comment
[cvpr 2025]Sonata: Self-Supervised Learning of Reliable Point Representations
  • Posted on: 07/06/2026 –
  • Comments: 3 Comments
[arXiv 2026] SEAR: Simple and Efficient Adaptation of Visual Geometric Transformers for RGB+Thermal 3D Reconstruction
  • Posted on: 06/27/2026 –
  • Comments: 2 Comments
[CVPR 2026] PoseGAM: Robust Unseen Object Pose Estimation via Geometry-AwareMulti-View Reasoning
  • Posted on: 06/07/2026 –
  • Comments: 1 Comment
[2026 RA-L] ThermoAct Thermal-Aware Vision-Language-Action Modelsfor Robotic Perception and Decision-Making
  • Posted on: 05/24/2026 –
  • Comments: 4 Comments
[CVPR 2026] TherA : Thermal-Aware Visual-Language Prompting for Controllable RGB-to-Thermal Infrared Translation
  • Posted on: 05/16/2026 –
  • Comments: 6 Comments
[RSS 2025] V-HOP, Visuo-Haptic 6D Object Pose Tracking
  • Posted on: 05/11/2026 –
  • Comments: 1 Comment
[arXiv 2026]Selective Perception for Robot:Task-Aware Attention in Multimodal VLA
  • Posted on: 05/01/2026 –
  • Comments: 6 Comments
[RA-L 2026] Guiding Robotic Cloth Grasping in Darkness: Infrared Semantic Segmentation andGrasping Position Selection
  • Posted on: 04/05/2026 –
  • Comments: 7 Comments
[CVPR 2026] EgoXtreme: A Dataset for Robust Object Pose Estimation in Egocentric Views under Extreme Conditions
  • Posted on: 03/29/2026 –
  • Comments: 4 Comments
1 2 3 4 Older Posts

Conference Deadline

NEW POST

  • [ICML 2026] Causal-JEPA: Learning World Models through Object-Level Latent Masking
  • [ICML 2026] Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
  • [ICLR 2021] AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE
  • [ICRA 2025] Dual-BEV Nav: Dual-layer BEV-based Heuristic Path Planning for Robotic Navigation in Unstructured Outdoor Environments
  • [CVPR2025] ProAPO: Progressively Automatic Prompt Optimization for Visual Classification

New Comment

  1. 홍 주영 on [ICML 2026] Are Object-Centric Representations Better At Compositional Generalization?07/27/2026

    Q1. k-means 실험의 목적? >> DINOv2+k-means와 DINOv2+CA는 DINOSAURv2의 장점이 단순히 token을 줄였기 때문인지 확인하는 비교 실험입니다. 아마 리뷰어가 "그냥 토큰…

  2. 이 예은 on [arXiv 2025] UniFGVC: Universal Training-Free Few-Shot Fine-Grained Visual Classification via Attribute-Aware Multimodal Retrieval07/27/2026

    안녕하세요 주영님! 댓글 감사드립니다. 질문주신 것과 관련된 실험들이 있었는데, 리뷰에는 담지 못한 것 같아 댓글로 설명드리고자 합니다. 잘못된(판별력 있는 description…

  3. 이 예은 on [arXiv 2025] UniFGVC: Universal Training-Free Few-Shot Fine-Grained Visual Classification via Attribute-Aware Multimodal Retrieval07/27/2026

    안녕하세요 주연님 댓글 감사합니다! 저도 학습없이 fine-grained class에 대해 discriminative한 캡션을 잘~뽑아서 classification 성능을 올린다는 점에서 이 논문을 재미있게 읽은…

  4. 이 예은 on [arXiv 2025] UniFGVC: Universal Training-Free Few-Shot Fine-Grained Visual Classification via Attribute-Aware Multimodal Retrieval07/27/2026

    안녕하세요 승현님 댓글 감사합니다! Q1) Category-Discriminative Visual Captioner과정에서, 타겟 이미지와 시각적으로 유사한 t개의 샘플을 선택한다고 하셨는데, 클래스당 K개의 이미지로 구성된다면…

  5. 홍 주영 on ICML 2026 참관기07/27/2026

    특정 대화 하나보다는, 저자들이 후속 연구와 현재 방법의 한계를 솔직하게 설명해주셨던 순간들이 기억에 남습니다. 논문에 적힌 결과보다 저자들이 실제로 중요하게…

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