컴퓨터 비전, 학회
ECCV 논문을 낸 국내 연구실
탑티어European Conference on Computer Vision. 2023년 이후 논문 313편, 연구실 132곳
이 학회에 논문을 낸 연구실
고려대 장부루 교수신생 랩모집 안내
탑티어 10전체 13구성원 12
대규모 언어 모델AI 안전·정렬UNIST 윤성환 교수모집 안내
탑티어 8전체 16구성원 21
연합·분산 학습지속·전이 학습
최근 논문
- Classification Matters: Improving Video Action Detection with Class-Specific Attention
2024, Computer Vision Lab, Computer Vision Lab, Computer Vision Lab
- Click-Gaussian: Interactive Segmentation to Any 3D Gaussians
2024, 김태형 연구실
- CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
2024, 백성용 연구실, 컴퓨터비젼 연구실
- CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation
2024, 양은호 연구실
- CMTA: Cross-Modal Temporal Alignment for Event-Guided Video Deblurring
2024, KAIST Visual Intelligence Lab
- Continuous Memory Representation for Anomaly Detection
2024, 지능 저전력 음성/영상 시스템 연구실, V-Lab
- Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis
2024, 바이오지능 연구실
- Contribution-Based Low-Rank Adaptation with Pre-training Model for Real Image Restoration
2024, 지능형 계산영상 연구실
- Co-synthesis of Histopathology Nuclei Image-Label Pairs Using a Context-Conditioned Joint Diffusion Model
2024, High-performance Visual Computing Lab
- Cross-Domain Semantic Segmentation on Inconsistent Taxonomy Using VLMs
2024, Computer Systems & Intelligence Lab
- Deblurring 3D Gaussian Splatting
2024, V-Lab
- Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
2024, Computational Intelligence 연구실
- Deep Cost Ray Fusion for Sparse Depth Video Completion
2024, Computer Graphics Lab, 시각 및 기하지능 연구실
- Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems
2024, PRISM Lab, 예종철 연구실
- Dense Hand-Object (HO) GraspNet with Full Grasping Taxonomy and Dynamics
2024, 우운택 연구실, 컴퓨터 비전 및 머신 러닝 랩
- Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation
2024, 컴퓨터비젼 연구실
- Diffusion-Guided Weakly Supervised Semantic Segmentation
2024, KAIST Visual Intelligence Lab
- Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems
2024, 기계학습 및 비전 연구실
- Distilling Diffusion Models Into Conditional GANs
2024, Computer Vision Lab, 시각 및 기하지능 연구실, Computer Vision Lab
- Distributed Active Client Selection With Noisy Clients Using Model Association Scores
2024, 머신러닝 및 비전