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이 승현

About Posts
[CVPR 2019]DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
  • Posted on: 06/11/2023 –
  • Comments: 2 Comments
[CVPR 2021] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
  • Posted on: 06/04/2023 –
  • Comments: 6 Comments
[ICCV 2019]DPOD: 6D Pose Object Detector and Refiner
  • Posted on: 05/28/2023 –
  • Comments: 10 Comments
[ACCV 2012] Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
  • Posted on: 05/21/2023 –
  • Comments: 5 Comments
[CVPR 2019]PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
  • Posted on: 05/14/2023 –
  • Comments: 12 Comments
[WACV 2023]ETR: An Efficient Transformer for Re-ranking in Visual Place Recognition
  • Posted on: 04/30/2023 –
  • Comments: 12 Comments
[CVPR 2023]R2Former: Unified Retrieval and Reranking Transformer for Place Recognition
  • Posted on: 04/16/2023 –
  • Comments: 8 Comments
[WACV 2023]MixVPR: Feature Mixing for Visual Place Recognition
  • Posted on: 03/19/2023 –
  • Comments: 10 Comments
[WACV 2022]Global Assists Local: Effective Aerial Representations for Field of View Constrained Image Geo-Localization
  • Posted on: 03/12/2023 –
  • Comments: 8 Comments
[CVRP 2022]TransVPR: Transformer-based place recognition with multi-level attention aggregation
  • Posted on: 03/05/2023 –
  • Comments: 6 Comments
Newer Posts 1 2 … 10 11 12 … 16 17 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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