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AI in Sensing, AI in Perception, AI in Action

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About Posts
[CVPR2021] The Spatially-Correlative Loss for Various Image Translation Tasks
  • Posted on: 08/23/2021 –
  • Comments: No Comments
[ICCV2019] Visualization of Convolutional Neural Networks for Monocular Depth Estimation.
  • Posted on: 08/15/2021 –
  • Comments: No Comments
[CVPR2021] UPFlow : Upsampling Pyramid for Unsupervised Optical Flow Learning
  • Posted on: 08/08/2021 –
  • Comments: 2 Comments
[CVPR2021] PLADE-Net : Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting Loss
  • Posted on: 08/01/2021 –
  • Comments: 1 Comment
[ECCV2020]Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
  • Posted on: 07/25/2021 –
  • Comments: 2 Comments
MonoDepth1&2
  • Posted on: 07/09/2021 –
  • Comments: 7 Comments
[CVPR2021] HistoGAN : Controlling Colors of GAN-Generated and Real Image via Color Histograms
  • Posted on: 06/26/2021 –
  • Comments: 2 Comments
[CVPR2021] StEP : Style-based Encoder Pre-training for Multi-modal Image Synthesis
  • Posted on: 06/07/2021 –
  • Comments: 2 Comments
[CVPR2021] High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
  • Posted on: 05/30/2021 –
  • Comments: 1 Comment
Protected: [ICCV2021 PeerReview] Optimal LED Spectral Multiplexing for NIR-to-RGB Translation.
  • Posted on: 05/23/2021 –
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Newer Posts 1 2 … 11 12 13 … 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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