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AI in Sensing, AI in Perception, AI in Action

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About Posts
[ICCV2021] AdaAttn : Revisit Attention Mechanism in Arbitrary Neural Style Transfer
  • Posted on: 12/12/2021 –
  • Comments: 1 Comment
[NeurIPS2021]HRFormer: High-Resolution Transformer for Dense Prediction
  • Posted on: 12/05/2021 –
  • Comments: 1 Comment
Protected: TransDSSL-Transformer based Depth Estimation via Self-Supervised Learning
  • Posted on: 11/29/2021 –
  • Comments: Enter your password to view comments.
[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
Newer Posts 1 2 … 10 11 12 … 16 17 Older Posts

Conference Deadline

NEW POST

  • [CoRL 2025] Steering Your Diffusion Policy with Latent Space Reinforcement Learning
  • [CVPR 2025] Scale Efficient Training for Large Datasets
  • [AAAI 2026] SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection
  • [ICRL 2026] HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
  • [RSS 2025] Robot Data Curation with Mutual Information Estimators

New Comment

  1. 최 인하 on [CoRL 2025] TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types03/24/2026

    안녕하세요 성민님 좋은 질문 갑사합니다! 순서대로 답변 드리겠습니다! Q1. MLLM이 주어진 vision정보와 text정보를 이해하고 annotation된 library에서 retrieval 하는 방식인데, prompt를…

  2. 최 인하 on [CoRL 2025] TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types03/24/2026

    안녕하세요 기현님 좋은 질문 감사합니다! 리뷰를 하면서 기현님이 URP 기간에 질문 해주셨던 부분이 생각이났습니다! 이 논문의 핵심은 manipulation이 task specific하게…

  3. 최 인하 on [CoRL 2025] TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types03/24/2026

    우진님 좋은 질문 감사합니다!! 저도 궁금했던 부분이었습니다! 저자들도 이 부분에 대해서 언급하였는데요! query time이 평균 4.8초라고 하네요! 근데 저자들 입장은…

  4. 최 인하 on [CoRL 2025] TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types03/24/2026

    안녕하세요 영규님 좋은 질문 감사합니다. 저도 읽으면서 궁금했던 부분이었습니다! 설명이 살짝 부족했던 느낌이네요! 논문에서는 library에 manipulation type이 annotation으로 지정되어 있습니다.…

  5. 최 인하 on [CoRL 2025] DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control03/24/2026

    안녕하세요 영규님 좋은 질문 감사합니다. 순서대로 설명해보겠습니다. 1. Hand의 가격이 가격이다 보니 다양한 dexterous hand는 사용하지 않은 것 같습니다 허허…

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