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
- MoBluRF: Motion Deblurring Neural Radiance Fields for Blurry Monocular Video
2025, 영상 및 이미지 컴퓨팅 연구실
- Model-Agnostic and Efficient Mixup Augmentation Guided by Saliency Maps
2025, 패턴인식 및 머신러닝 연구실
- MPS-NeRF: Generalizable 3D Human Rendering From Multiview Images
2025, Multimedia AI Lab
- Prompt Tuning of Deep Neural Networks for Speaker-Adaptive Visual Speech Recognition
2025, IVY Lab & IVL Lab
- Sparse-DeRF: Deblurred Neural Radiance Fields From Sparse View
2025, 영상 및 비디오 패턴 인식 연구실
- Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification
2025, 비주얼컴퓨팅 Lab
- Toward Interactive Sound Source Localization: Better Align Sight and Sound!
2025, 기계 지능 연구실, 멀티모달 인공지능 연구실, Multisensory Intelligence Lab
- Video Diffusion Posterior Sampling for Seeing Beyond Dynamic Scattering Layers
2025, 예종철 연구실
- VQ-FedDiff: Federated Learning Algorithm of Diffusion Models With Client-Specific Vector-Quantized Conditioning
2025, 양은호 연구실
- When Meta-Learning Meets Online and Continual Learning: A Survey
2025, 시각 및 학습 연구실
- Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
2024, 자연어 기반 멀티모달 지능 연구실, 인공지능 연구실, Vision & AI Lab
- Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis
2024, 시각 정보처리 연구실
- Deep Efficient Continuous Manifold Learning for Time Series Modeling
2024, Machine Intelligence Lab
- Few-Shot Font Generation With Weakly Supervised Localized Representations
2024, 심현정 연구실
- Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning
2024, 백성용 연구실, 컴퓨터비젼 연구실
- Real-Time CNN Training and Compression for Neural-Enhanced Adaptive Live Streaming
2024, Visual Media Lab
- Scalable SoftGroup for 3D Instance Segmentation on Point Clouds
2024, 인공지능 및 머신러닝 연구실
- What Makes Deviant Places?
2024, 시각인공지능
- A Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses
2023, 시각인공지능
- CATs++: Boosting Cost Aggregation With Convolutions and Transformers
2023, 김승룡 연구실















