Computer Vision Lab

Welcome to Computer Vision Lab

We’re looking for strong and motivated graduate students and undergraduate interns.
If you are interested, please apply ►►► HERE.

LISA: Localized Image Stylization with Audio via Implicit Neural Representation

LISA: Localized Image Stylization with Audio via Implicit Neural Representation (Under Review 2023)

Seunghyun Lee, Wonmin Byeon, Sang Ho Yoon, Jinkyu Kim*, Sangpil Kim*

Event Fusion Photometric Stereo Network (Under Review 2023)

Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun*, Sangpil Kim*

FPANet: Frequency-based Video Demoireing using Frame-level Post Alignment (Under Review 2023)

Gyeongrok Oh, Heon Gu, Jinkyu Kim*, Sangpil Kim*

Robust Sound-Guided Image Manipulation

Robust Sound-Guided Image Manipulation (Under Review 2023)

Seunghyun Lee, Wonmin Byeon, Gyeongrok Oh, Jooyoung Lee, Sang Ho Yoon, Jinkyu Kim*, Sangpil Kim*

SMGNN: Self-Supervised Multimodal Graph Neural Network for Recommender Systems

SMGNN: Self-Supervised Multimodal Graph Neural Network for Recommender Systems (Under Review 2022)

Sungjune Kim, Gyusam Chang, Wonseok Roh, Dae-Neung Sohn, Jung-Tae Lee, Hogun Park*, Sangpil Kim*

ORA3D: Overlap Region Aware Multi-view 3D Object Detection

ORA3D: Overlap Region Aware Multi-view 3D Object Detection (BMVC 2022)

Wonseok Roh, Gyusam Chang, Seokha Moon, Giljoo Nam, Chanyoung Kim, Younghyun Kim, Jinkyu Kim*, Sangpil Kim*

Sound-Guided Semantic Video Generation

Sound-Guided Semantic Video Generation (ECCV 2022)

Seunghyun Lee, Gyeongrok Oh, Wonmin Byeon, Wonjeong Ryoo, Sang Ho Yoon, Jinkyu Kim*, Sangpil Kim*

Sound-Guided Semantic Image Manipulation

Sound-Guided Semantic Image Manipulation (CVPR 2022)

Seunghyun Lee, Wonseok Roh, Wonmin Byeon, SangHo Yoon, Jinkyu Kim*, Sangpil Kim*

The lab challenges unsolved real-life problems by inventing novel artificial intelligence for computer vision. To do so, our research focuses on developing innovative computer vision systems through deep learning algorithms and heterogeneous visual sensors. We also adopt machine learning to innovate visual machine intelligence. In the narrow scope of research, the lab is interested in the following:

Multi-modal Generative Model
Multi-modal Representation Learning
Domain Generalization and Domain Adaptation
Computer Vision for Autonomous Driving
3D Computer Vision and Inverse Graphics
Dynamic Vision Sensor
Moire Removal
Face Tracking, Detection, Landmark Prediction

News!
✦ 2023.02. One paper got accepted at WWW 2023. Congratulations to all authors!
✦ 2022.09. One paper got accepted at BMVC 2022. Congratulations to all authors!
✦ 2022.07. One paper got accepted at ECCV 2022. Congratulations to all authors!
✦ 2022.03. One paper got accepted at CVPR 2022. Congratulations to all authors!
✦ 2021.09. Two papers got accepted at NeurIPSW 2021. Congratulations to all authors!

★ 2023.01. We initiated a collaboration project with Google Research USA.
★ 2022.08. We initiated a collaboration project with Samsung Advanced Institute of Technology.
★ 2022.05. We received GCP Credit Award ($30,000) from Google Research.
★ 2021.09. We initiated a collaboration project with NVIDIA Research USA.

Blue Sky.

Computer Vision Lab
Department of Artificial Intelligence, Korea University
603, Woojung Hall of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841