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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

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← “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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  • [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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  • [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
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  • [CVPR 2024] EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
  • [ICML 2024 Oral] Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
  • [AAAI 2024] SECap: Speech Emotion Captioning with Large Language Model
  • [CVPR 2023] Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network

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  • [ECCV2024]R2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding의 김 현우
  • [CVPR 2022] DN-DETR: Accelerate DETR Training by Introducing Query DeNoising의 박 성준
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