Skip to content

Robotics and Computer Vision Lab

AI in Sensing, AI in Perception, AI in Action

  • About
    • News
    • History
    • Photo
    • Admission
  • Members
  • Publications
    • Patents
  • X-Review
  • X-Diary
  • Peer Review
 Posted in Peer Review, X-Review

보호된 글: [PeerReview] A Three-Stage Enhancement Framework for TIR Images with Hazy Atmospheric Background

 신 정민  01/24/2021

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

Author: 신 정민

글 내비게이션

← DepressNet – Visually Interpretable Representation Learning for Depression Recognition from Facial Images
[NeurIPS 2020] FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence →

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 1월
일 월 화 수 목 금 토
 12
3456789
10111213141516
17181920212223
24252627282930
31  
« 12월   2월 »

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

  • [AAAI2024]V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning
  • [CoRL 2023 Oral] Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
  • [ICML 2025] FG-CLIP: Fine-Grained Visual and Textual Alignment
  • [ICRA 2022] Affordance Learning from Play for Sample-Efficient Policy Learning
  • [CVPR 2024]YOLO-World:Real-Time Open-Vocabulary Object Detection
  • [NeurIPS 2024] Scene Graph Generation with Role-Playing Large Language Models
  • [AAAI 2023] DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
  • [ICLR 2025] TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval
  • [CVPR 2025] Distilling Monocular Foundation Model for Fine-grained Depth Completion
  • [RSS 2025]Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation

최신 댓글

  • [arXiv 2025] CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe
    with Sparse Upcycling    의 정 의철
  • [arXiv 2025] CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe
    with Sparse Upcycling    의 정 의철
  • [arXiv 2015] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks의 정 의철
  • [ICLR 2025] TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval의 신 인택
  • [AAAI2024]V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning의 황 유진
  • Sign-in
  • RCV-Yona
  • RCV-Calendar
  • RCV-Github
  • Paper R/W
    • Arxiv
    • Deadline
    • Overleaf
  • Coding
    • OnlineJudge
    • Kaggle
  • NAS
    • NAS-DGX
    • NAS-Multispectral
    • NAS-AI632

포기하지 않는 강한 집념 만이 작은 차이를 만든다.

Design by SejongRCV