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AI in Sensing, AI in Perception, AI in Action

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홍 주영

About Posts
[ICLR 2018] Active learning for convolutional neural networks: A core-set approach – (Part 1)
  • Posted on: 11/15/2021 –
  • Comments: 4 Comments
[JMIR Mhealth Uhealth] Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study
  • Posted on: 11/08/2021 –
  • Comments: 2 Comments
[CVPR 2019] Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
  • Posted on: 10/25/2021 –
  • Comments: 1 Comment
[ICCV2017 Workshop] Dense Face Alignment
  • Posted on: 10/11/2021 –
  • Comments: No Comments
[2016 CVPR] Face Alignment Across Large Poses: A 3D Solution
  • Posted on: 10/04/2021 –
  • Comments: 1 Comment
Fast Facial Landmark Detection and Applications: A Survey
  • Posted on: 09/27/2021 –
  • Comments: No Comments
[ICPR 2018] Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization
  • Posted on: 09/13/2021 –
  • Comments: No Comments
[KCCV 2021] 첫 학회에 참가하며
  • Posted on: 09/06/2021 –
  • Comments: No Comments
[ICCV 2017] How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
  • Posted on: 09/06/2021 –
  • Comments: No Comments
[ICML 2018] Learning Semantic Representations for Unsupervised Domain Adaptation
  • Posted on: 08/22/2021 –
  • Comments: No Comments
Newer Posts 1 2 … 11 12 13 14 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. 안 우현 on [RA-L 2022]Socially CompliAnt Navigation Dataset (SCAND) A Large-Scale Dataset of Demonstrations for Social Navigation03/24/2026

    안녕하세요 인택님 좋은 댓글 감사합니다. 인택님께서 말씀주신대로 contribution도 제 개인적인 생각으로는 직관적으로 알려져 있던 가정을 데이터 차원에서 검증 가능한 형태로…

  2. 이 승현 on [arXiv 2026] VideoAfford: Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model03/23/2026

    질문 감사합니다. 우선 action encoder로 사용한 RenderNet을 찾아보니, 일관성 있는 캐릭터와 고품질 이미지를 생성하고 제어할 수 있는 강력한 AI 이미지…

  3. 최 인하 on [arXiv 2026] VideoAfford: Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model03/23/2026

    안녕하세요 승현님 좋은 리뷰 감사합니다. HOI를 비디오를 사용하여 Affordance의 상호 작용패턴을 학습하는 것이 신기하네요. action encoder에 대한 궁금증이 생겼는데요! action…

  4. 이 예은 on [CVPR 2025] Scale Efficient Training for Large Datasets03/23/2026

    안녕하세요 우진님 질문 감사합니다! 네 맞습니다. 물론 여전히 데이터의 양이 많을수록 이점이 많다는 것은 자명하지만, 너무 많아버리면 saturation 문제가 발생하기도…

  5. 이 예은 on [CVPR 2025] Scale Efficient Training for Large Datasets03/23/2026

    안녕하세요 찬미님 질문 감사합니다! 저도 처음에 그 부분이 의아했었는데요, 해당 방법론이 'loss는 높지만 학습에 도움이 덜 되는 샘플'을 특별히 거르는…

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