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AI in Sensing, AI in Perception, AI in Action

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About Posts
[TPAMI2020] Deep High-Resolution Representation Learning for Visual Recognition
  • Posted on: 10/31/2021 –
  • Comments: 1 Comment
[ECCV2018] Unified Perceptual Parsing for Scene Understanding
  • Posted on: 10/24/2021 –
  • Comments: 2 Comments
[ICCV2021] Revealing the Reciprocal Relations between Self-Supervised Stereo and Monocular Depth Estimation
  • Posted on: 10/17/2021 –
  • Comments: 1 Comment
[ICCV2021] FaPN : Feature aligned Pyramid Network for Dense image Prediction
  • Posted on: 10/10/2021 –
  • Comments: 1 Comment
[ICCV2021] Pyramid Vision Transformer : A Versatile Backbone for Dense Prediction without Convolutions
  • Posted on: 10/02/2021 –
  • Comments: 2 Comments
[IROS 2021]ADAADepth: Adapting Data Augmentation and Attention for Self-Supervised Monocular Depth Estimation
  • Posted on: 09/26/2021 –
  • Comments: 1 Comment
CSwin Transformer : A Genenral Vision Transformer Backbone with Cross-Shaped Windows
  • Posted on: 09/20/2021 –
  • Comments: No Comments
[ICCV2021]Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  • Posted on: 09/12/2021 –
  • Comments: No Comments
Early Convolutions Help Transformers See Better
  • Posted on: 09/05/2021 –
  • Comments: 4 Comments
[CVPR2021]Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
  • Posted on: 08/29/2021 –
  • Comments: 1 Comment
Newer Posts 1 2 … 10 11 12 … 16 17 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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