컴퓨터 비전, 학회
ECCV 논문을 낸 국내 연구실
탑티어European Conference on Computer Vision. 2023년 이후 논문 313편, 연구실 132곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
main Lab김재광 교수 | 성균관대 | 6 | 26 | – | |
MCML이종석 교수 | 연세대 | 9 | 41 | 15 | |
Medical Information Processing Lab류일우 교수 | POSTECH | 46 | 57 | 43 | |
Medical Information Processing Lab김원화 교수 | POSTECH | 54 | 68 | 43 | |
MLAI송경우 교수모집 안내 | 연세대 | 21 | 54 | 39 | |
MLCF김하영 교수신생 랩모집 안내 | 연세대 | 10 | 23 | 27 | |
Mobile Multimedia Systems Group전동석 교수모집 안내 | 서울대 | 10 | 40 | 21 | |
Natural Language Processing Lab김형훈 교수신생 랩 | POSTECH | 18 | 19 | 7 | |
Robot Learning Lab최성준 교수 | 고려대 | 16 | 35 | 4 | |
SNU Robot Vision Lab임종우 교수 | 서울대 | 7 | 12 | 18 | |
Software Testing and Analysis Research Lab김미정 교수모집 안내 | UNIST | 1 | 11 | 7 | |
Visual Information Processing Lab. 시각정보처리 연구실심재영 교수 | UNIST | 7 | 15 | – |
최근 논문
- Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
2024, 컴퓨터비젼 연구실
- Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration
2024, 정보신호처리연구실
- Parrot: Pareto-Optimal Multi-reward Reinforcement Learning Framework for Text-to-Image Generation
2024, Computer Vision Lab (CVLAB)
- PartSTAD: 2D-to-3D Part Segmentation Task Adaptation
2024, KAIST Visual AI Group
- Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting
2024, Visual intelligence
- Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation
2024, KAIST Visual Intelligence Lab
- PLOT: Text-Based Person Search with Part Slot Attention for Corresponding Part Discovery
2024, Computer Vision Lab, Computer Vision Lab
- PosterLlama: Bridging Design Ability of Language Model to Content-Aware Layout Generation
2024, Laboratory of Advanced Imaging Technology ( LAIT ). 컴퓨터 비전 및 바이오 영상신호처리 연구실
- Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment
2024, 시각공간인공지능 연구실
- Probabilistic Weather Forecasting with Deterministic Guidance-Based Diffusion Model
2024, 컴퓨터비전 연구실
- ProDepth: Boosting Self-supervised Multi-frame Monocular Depth with Probabilistic Fusion
2024, 영상 및 비디오 패턴 인식 연구실
- Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation
2024, 비주얼컴퓨팅 Lab
- Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
2024, KAIST Visual Intelligence Lab
- Pseudo-RIS: Distinctive Pseudo-Supervision Generation for Referring Image Segmentation
2024, Multimodal Interactive Intelligence Laboratory (MIIL), Computer Vision Lab
- ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments
2024, 기계 인지 및 추론 연구실
- Rebalancing Using Estimated Class Distribution for Imbalanced Semi-supervised Learning Under Class Distribution Mismatch
2024, Engineering Data Science Lab
- ReGround: Improving Textual and Spatial Grounding at No Cost
2024, KAIST Visual AI Group
- Regularizing Dynamic Radiance Fields with Kinematic Fields
2024, 컴퓨터 그래픽스, 컴퓨터 비젼, 로보틱스
- Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
2024, 심현정 연구실
- Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion
2024, AGI-LAB, KAIST, 이주호 연구실



















