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AI in Sensing, AI in Perception, AI in Action

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홍 주영

About Posts
[CVPR 2023] Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
  • Posted on: 04/30/2023 –
  • Comments: 4 Comments
[NeurIPS Workshop 2020] On Initial Pools for Deep Active Learning
  • Posted on: 03/19/2023 –
  • Comments: 6 Comments
Active Learning with Self-supervised learning
  • Posted on: 03/05/2023 –
  • Comments: 6 Comments
[CVPR 2022] SimMatch: Semi-Supervised Learning With Similarity Matching
  • Posted on: 02/26/2023 –
  • Comments: 3 Comments
[CVPR 2021] Task-Aware Variational Adversarial Active Learning
  • Posted on: 02/12/2023 –
  • Comments: 4 Comments
[ICCV 2019] Variational Adversarial Active Learning
  • Posted on: 02/05/2023 –
  • Comments: 4 Comments
[ICCV 2021] Contrastive Coding for Active Learning under Class Distribution Mismatch
  • Posted on: 01/27/2023 –
  • Comments: 4 Comments
[WACV 2023] Randomness is the Root of All Evil: More Reliable Evaluation of Deep Active Learning
  • Posted on: 01/22/2023 –
  • Comments: 6 Comments
[BMVC 2022] MoBYv2AL: Self-supervised Active Learning for Image Classification
  • Posted on: 01/15/2023 –
  • Comments: 4 Comments
[ECCV 2020] Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
  • Posted on: 01/08/2023 –
  • Comments: 4 Comments
Newer Posts 1 2 … 6 7 8 … 12 13 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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