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AI in Sensing, AI in Perception, AI in Action

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김 태주

About Posts
[ICRA2021]MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
  • Posted on: 08/08/2021 –
  • Comments: No Comments
[ICCV 2019] MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
  • Posted on: 08/02/2021 –
  • Comments: No Comments
[CVPR 2021] Categorical Depth Distribution Network for Monocular 3D Object Detection
  • Posted on: 07/18/2021 –
  • Comments: 4 Comments
[CVPR2019] Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks
  • Posted on: 07/17/2021 –
  • Comments: 6 Comments
[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning
  • Posted on: 07/05/2021 –
  • Comments: No Comments
[CVPR 2021] CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
  • Posted on: 06/28/2021 –
  • Comments: No Comments
[NeurIPS 2020] Wasserstein Distances for Stereo Disparity Estimation
  • Posted on: 06/07/2021 –
  • Comments: 2 Comments
[CVPR 2020]Self-Supervised Deep Visual Odometry with Online Adaptation
  • Posted on: 05/30/2021 –
  • Comments: 1 Comment
Protected: [ICCV 2021, PeerReview] 7158
  • Posted on: 05/24/2021 –
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[AAAI 2017]VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
  • Posted on: 05/03/2021 –
  • Comments: No Comments
Newer Posts 1 2 … 10 11 12 … 14 15 Older Posts

Conference Deadline

NEW POST

  • [NeurIPS2025]VideoLucy: Deep Memory Backtracking for Long Video Understanding
  • [arXiv 2025] SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
  • [NIPS2025] Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding
  • [AAAI 2025] Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
  • [arXiv 2025] IGen: Scalable Data Generation for Robot Learning from Open-World Images

New Comment

  1. 김기현 on [arXiv 2025] SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics01/12/2026

    안녕하세요, 영규님 댓글 감사합니다. 비동기(asynchronous) inference와 관련해 논문에서는 명시적·정량적으로 성능이 우수하다고 평가한 부분은 없고, 정성적으로 더 빠른 반응성과 연속적인 움직임을…

  2. 김 영규 on [arXiv 2025] SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics01/12/2026

    안녕하세요 기현님 리뷰 감사합니다. Smol VLA의 구조 에 대해서 잘 설명을 해주신 것 같습니다. Asynchronous inference의 실험 결과에서 성능이 좋아지는…

  3. 김기현 on [arXiv 2025] IGen: Scalable Data Generation for Robot Learning from Open-World Images01/12/2026

    안녕하세요, 영규님 좋은 리뷰 감사합니다. 리뷰를 읽으며 특히 인상 깊었던 점은, 단일 이미지로부터 로봇의 action뿐 아니라 visual observation까지 포함된 시퀀스를…

  4. 허 재연 on [NIPS 2025] Don’t Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention01/12/2026

    좋은 리뷰 감사합니다. 중요도 등 하나의 기준으로만 프루닝을 하게 되면 오히려 정보가 비슷한 토큰만 남게 되는 점이 재밌네요. 질문이 하나…

  5. 허 재연 on [NeurIPS2025]VideoLucy: Deep Memory Backtracking for Long Video Understanding01/12/2026

    좋은 리뷰 감사합니다. 결국 핵심은 agent 기반으로 비디오 요약을 수행하되, frame 단위로 너무 local한 답변을 내놓는 기존 프레임워크들과 달리 클립을…

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