ECCV 논문을 낸 국내 연구실
탑티어이 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
- Ray-Path-Aware Virtual Point Removal on 2D Layer-Wise Nearest Point Map
2026, Visual Information Processing Lab. 시각정보처리 연구실, 3D Vision & Robotics Lab. 3차원 비전 및 로보틱스 연구실
- Real-Time LiDAR Gaussian Splatting SLAM via Geometry-Aware Covariance Coupling
2026, Laboratory of Artificial Intelligence and Robotics
- Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation
2026, Laboratory of Advanced Imaging Technology ( LAIT ). 컴퓨터 비전 및 바이오 영상신호처리 연구실, Information Processing Algorithm Lab. @ EE, Korea University
- ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition
2026, PRISM Lab, 주재걸 연구실
- Reference-to-Image (R2I) Aware Latent Diffusion Model for Image Super-Resolution
2026, Information Processing Algorithm Lab. @ EE, Korea University
- ReflectCAP: Detailed Image Captioning with Reflective Memory
2026, 머신 인텔리전스 연구실
- Reflection-Aware Generative Novel View Synthesis
2026, 기계 지능 연구실
- Relaxed Rigidity with Ray-Based Grouping for Dynamic Gaussian Splatting
2026, 시각인공지능
- REON-NVS: Real-Time Online Novel-View Synthesis from Sparse-View Videos
2026, Computer Graphics Lab
- RePL: Pseudo-label Refinement for Semi-supervised LiDAR Semantic Segmentation
2026, Computer Vision Lab, Computer Vision Lab
- Representation Alignment for Just Image Transformers is not Easier Than You Think
2026, 심현정 연구실
- Repurposing Geometric Foundation Models for Multi-view Diffusion
2026, 김승룡 연구실
- R-ESC: Robustly Erasing Space Concepts via Stochastic Feature Remapping
2026, 지능 저전력 음성/영상 시스템 연구실, Visual & General Intelligence Lab (시각 및 범용 지능 연구실)
- Residual-Guided Expert Specialization for Incomplete Multimodal Learning
2026, Medical Information Processing Lab, Medical Information Processing Lab
- Revisiting Weakly-Supervised Video Scene Graph Generation via Pair Affinity Learning
2026, 영상 및 비디오 패턴 인식 연구실
- RoME: Robust Mixture of Low-Rank Experts Against Multiple Adversarial Perturbations
2026, 컴퓨터 그래픽스, 컴퓨터 비젼, 로보틱스
- SA-ResGS: Self-augmented Residual 3D Gaussian Splatting for Next Best View Selection
2026, 기계 지능 연구실
- SA-V2V: Training-Free Subject-Aware Video-to-Video Personalization
2026, Information Processing Algorithm Lab. @ EE, Korea University
- Selective Synergistic Learning for Video Object-Centric Learning
2026, 비주얼컴퓨팅 Lab
- Self-Improving Diffusion Classifiers with Minority Preference Optimization
2026, Universal Transfer Learning (UTL) Lab



















