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 Posted in Conference, Paper, Peer Review, X-Review

보호된 글: [AAAI, UnderReview] Pay Attention to Spatial Alignment for RGB-Thermal Object Detection

 김 지원  10/09/2021

이 콘텐츠는 비밀번호로 보호되어 있습니다. 이 콘텐츠를 보려면 아래에 비밀번호를 입력해주세요:

Author: 김 지원

글 내비게이션

← 그래디언트 부스팅 네트워크를 이용한 단안 영상 기반 깊이 추정 방법 및 장치, (10-2021-0132328), 출원 완료
[2021 AAAI Under Review] Pay Attention to Spatial Alignment for RGB-Thermal Object Detection →

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
2021 10월
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태그

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

카테고리

B.S. BoW.2020 Conference Director M.S. News Paper Patents Peer Review Ph.D. Publications RCVWS.2020 Videos X-Course X-Diary X-Project X-Review 미분류

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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