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
- Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
2024, 피지컬 인공지능 연구실
- DNI: Dilutional Noise Initialization for Diffusion Video Editing
2024, 인공지능 및 머신러닝 연구실
- Domain Reduction Strategy for Non-Line-of-Sight Imaging
2024, 계산영상
- DreamMotion: Space-Time Self-similar Score Distillation for Zero-Shot Video Editing
2024, 예종철 연구실
- DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
2024, 예종철 연구실
- Efficient and Versatile Robust Fine-Tuning of Zero-Shot Models
2024, Computer Vision Lab, Computer Vision Lab, Universal Transfer Learning (UTL) Lab
- Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
2024, 인공지능 연구실
- Enhanced Motion Forecasting with Visual Relation Reasoning
2024, Computer Vision Lab (CVLAB)
- ExMatch: Self-guided Exploitation for Semi-supervised Learning with Scarce Labeled Samples
2024, 정보 및 지능 시스템 연구실
- Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
2024, 언어 및 지능 연구실, Language and Intelligence Laboratory
- Expressive Whole-Body 3D Gaussian Avatar
2024, Visual Computing and AI (VCAI) Lab
- Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras
2024, KAIST Visual Intelligence Lab
- Finding NeMo: Negative-Mined Mosaic Augmentation for Referring Image Segmentation
2024, Visual Information Processing Lab
- FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-rigid Editing
2024, 인공지능 및 머신러닝 연구실
- Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition
2024, 시각 정보처리 연구실
- FRDiff : Feature Reuse for Universal Training-Free Acceleration of Diffusion Models
2024, Machine Learning Lab
- FREST: Feature RESToration for Semantic Segmentation Under Multiple Adverse Conditions
2024, Computer Vision Lab, Computer Vision Lab
- Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation
2024, 아키텍처 및 코드 최적화 연구실, Integrated Solid-State Devices and Circuits 연구실
- FYI: Flip Your Images for Dataset Distillation
2024, Computer Vision Lab
- GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
2024, Efficient Machine Intelligence Lab @ Korea University



















