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“R2T2: RGB-Thermal-Depth Dataset for Pedestrian Detection,” 32rd Workshop on Image Processing and Image Understanding (IPIU), Feb 2020

 김 태주  02/05/2020  Leave a Comment on “R2T2: RGB-Thermal-Depth Dataset for Pedestrian Detection,” 32rd Workshop on Image Processing and Image Understanding (IPIU), Feb 2020

Author: 김 태주

글 내비게이션

← “Single-Shot Adaptive Fusion Network for Robust Multispectral Pedestrian Detection,” 32rd Workshop on Image Processing and Image Understanding (IPIU), Feb 2020.
“Multispectral Domain Invariant Image for Retrieval-based Place Recognition,” 32rd Workshop on Image Processing and Image Understanding (IPIU), Feb 2020. →

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학술대회 마감

  • [BMVC 2023] 2023.05.31 
  • [ICCV 2023] 2023.03.08 
  • [CVPR 2023] 2022.11.12
  • [ICRA 2023] 2022.09.16
  • [AAAI 2022] 2022.08.16
  • [NeurIPS 2022] 2022.05.20
  • [ECCV 2022] 2022.03.08
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3D adversarial adversarial validation attention AutoML autonomous driving BoW CDVA compression contrastive learning data augmentation descriptor GAN ICP LIFT NIP NLP NT-Xent object detection point clouds range image self-supervised SIFT transformer video retrieval Waymo 기초연구실 수중로봇 챌린지

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최신 글

  • [ICLR 2021] Free lunch for few-shot learning: Distribution calibration
  • [ECCCV2024] Uncertainty-Aware Sign Language Vido Retrieval with Probability Distribution Modeling
  • [CVPR 2024] VicTR: Video-conditioned Text Representation for Activity Recognition
  • [EMNLP 2023] ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense
  • Amodal Completion via Progressive Mixed Context Diffusion
  • [ECCV2024]R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
  • [CVPR 2024] MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation
  • [CVPR 2022][Oral] Rethinking Semantic Segmentation: A Prototype View
  • [CVPR 2022] DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
  • [NeurIPS 2024] ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images

최신 댓글

  • [ECCCV2024] Uncertainty-Aware Sign Language Vido Retrieval with Probability Distribution Modeling의 정 의철
  • [ICLR 2021] Free lunch for few-shot learning: Distribution calibration의 정 의철
  • [ECCCV2024] Uncertainty-Aware Sign Language Vido Retrieval with Probability Distribution Modeling의 김 현우
  • [EMNLP 2023] ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common Sense의 박 성준
  • [2023 CVPR] Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?의 김 현우
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