머신러닝, 저널
IEEE TPAMI 논문을 낸 국내 연구실
탑티어IEEE Trans. Pattern Analysis and Machine Intelligence. 2023년 이후 논문 54편, 연구실 47곳
이 학회에 논문을 낸 연구실
| 연구실 | 대학 | 탑티어 논문 | 전체 논문 | 구성원 | 비교 |
|---|---|---|---|---|---|
 MLAI송경우 교수모집 안내 | 연세대 | 21 | 54 | 39 | |
 Multimodal Interactive Intelligence Laboratory (MIIL)서홍석 교수 | 고려대 | 23 | 23 | 18 | |
 Multisensory Intelligence LabArda Senocak 교수신생 랩 | UNIST | 17 | 21 | – | |
 Robot Learning Lab최성준 교수 | 고려대 | 16 | 35 | 4 | |
 Vision & AI Lab이정범 교수신생 랩모집 안내 | 고려대 | 8 | 9 | 21 | |
 Visual Media Lab노준용 교수 | KAIST | 21 | 34 | 31 | |
 V-Lab박은병 교수 | 연세대 | 28 | 36 | – |
최근 논문
- A Variational Mean-Field Control Framework for Graph Representation Learning
2026, Medical Information Processing Lab, Medical Information Processing Lab
- CLIP-Actor-X: Text-Driven 4D Human Avatar Generation via Cross-Modal Synthesis-Through-Optimization
2026, 기계 지능 연구실, Robot Learning Lab
- Contextrast++: Robust Multi-Scale Contextual Contrastive Learning for Semantic Segmentation
2026, 미래도시로봇 연구실
- From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models
2026, MIPA Laboratory
- Harnessing Meta-Learning for Controllable Full-Frame Video Stabilization
2026, 시각지능 연구실
- Improved Residual Learning in Diffusion Models
2026, V-Lab
- PRIMEdit: Probability Redistribution for Instance-Aware Multi-Object Video Editing With a New Benchmark Dataset
2026, 영상 및 이미지 컴퓨팅 연구실
- Robust Adaptation of Foundation Models With Black-Box Visual Prompting
2026, MLAI
- Social Reasoning-Aware Trajectory Prediction via Multimodal Language Model
2026, 시각인공지능
- Spectral-Adaptive Modulation Networks for Visual Perception
2026, Multimodal Interactive Intelligence Laboratory (MIIL)
- Temporal Stereo Matching From Event Cameras via Joint Learning With Stereoscopic Flow
2026, KAIST Visual Intelligence Lab
- Toward Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic Segmentation
2026, KAIST Visual Intelligence Lab
- Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups
2026, 시각 및 기하지능 연구실
- Continual Learning: Forget-Free Winning Subnetworks for Video Representations
2025, 황성주 연구실, 인공지능 및 머신러닝 연구실
- Correlation Verification for Image Retrieval and Its Memory Footprint Optimization
2025, Computational Intelligence 연구실
- Deformable Graph Transformer
2025, 데이터마이닝 및 인포메이션시스템 연구실, 기계학습 및 비전 연구실
- Ego4D: Around the World in 3,600 Hours of Egocentric Video
2025, 비주얼 컴퓨팅 연구실
- Fair Representation Learning for Continuous Sensitive Attributes Using Expectation of Integral Probability Metrics
2025, IDEA Lab
- Illuminating Salient Contributions in Neuron Activation With Attribution Equilibrium
2025, 패턴인식 및 머신러닝 연구실
- Measuring the Validity of Clustering Validation Datasets
2025, 휴먼-컴퓨터 인터액션 연구실