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AI in Sensing, AI in Perception, AI in Action

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김 형준

About Posts
[2021 IROS] 6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark
  • Posted on: 05/27/2022 –
  • Comments: 4 Comments
[2021 IEEE TCE]End-to-End 6DoF Pose Estimation From Monocular RGB Images
  • Posted on: 05/21/2022 –
  • Comments: 2 Comments
LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection
  • Posted on: 05/06/2022 –
  • Comments: 2 Comments
[2021 ICRA] Rapid Pose Label Generation through Sparse Representation of Unknown Objects
  • Posted on: 04/15/2022 –
  • Comments: 2 Comments
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
  • Posted on: 04/01/2022 –
  • Comments: 4 Comments
[2022 IEEE TII] Weakly Aligned Multimodal Flame Detection for FireFighting Robots
  • Posted on: 03/18/2022 –
  • Comments: No Comments
[2020 arxiv] PP-YOLO: An Effective and Efficient Implementation of Object Detector
  • Posted on: 03/11/2022 –
  • Comments: No Comments
Defect Detection for Electrical Facilities based on Multispectral Imagery,” Journal of Institute of Control, Robotics, and Systems (JICROS), March 2022.
  • Posted on: 03/09/2022 –
  • Comments: No Comments
[CVPR 2021] FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
  • Posted on: 03/03/2022 –
  • Comments: 2 Comments
[ICCV 2017] SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again
  • Posted on: 02/25/2022 –
  • Comments: 3 Comments
Newer Posts 1 2 3 … 7 8 Older Posts

Conference Deadline

NEW POST

  • [CoRL 2024] 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
  • [CVPR 2025] Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing
  • [TPAMI 2018] SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
  • [NIPS 2024] Introspective Planning: Aligning Robots’ Uncertainty with Inherent Task Ambiguity
  • [ECCV 2024]FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models

New Comment

  1. 신 인택 on [CVPR 2023]Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models07/15/2025

    안녕하세요 주영님 답글 감사합니다. 이해하신 방법이 맞고, 해당 방법론에서 쓴 벤치마크들에는 멀티라벨인 경우가 없습니다. 다만 만약 멀티라벨이 들어오는 경우라면 모두…

  2. 신 인택 on [CVPR 2023]Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models07/15/2025

    안녕하세요 우현님 답글 감사합니다. 질문에 대해 설명해드리자면 제가 ID OOD 에 대한 이름을 언급 안해서 out of domain이라 생각하신 것…

  3. 황 유진 on [CVPR2024] Towards Automated Movie Trailer Generation07/15/2025

    안녕하세요 리뷰 읽어주셔서 감사합니다. 모델은 전체 영화가 입력되게 됩니다. 논문의 해당 부분에서 확인할 수 있는데요, 영화 M을 전체 n개의 sequence로…

  4. 황 유진 on [CVPR2024] Towards Automated Movie Trailer Generation07/15/2025

    안녕하세요 리뷰 읽어주셔서 감사합니다. 우선 CCANet은 2020년 논문으로 CLIP-IT 보다 앞서서 발표된 성과입니다. 이러한 이유로 기존 video summerization의 주요 테스크에…

  5. 황 유진 on [CVPR2024] Towards Automated Movie Trailer Generation07/15/2025

    안녕하세요 리뷰 읽어주셔서 감사합니다. 먼저 video summarization task에서 일반적인 평가방식의 경우 모델의 요약 결과와 정답간의 유사도인 F1-score로 측정하는 것이 일반적입니다.…

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