1. '3D Geometric Shape Assembly via Efficient Point Cloud Matching', Nahyuk Lee*, Juhong Min*, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho, The 41st International Conference on Machine Learning (ICML) 2024 @ Vienne; 2. 'Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation', Seungwook Kim, Yichun Shi, Kejie Li, Minsu Cho, Peng Wang, Arxiv 2024; 3. 'Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences', Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang, The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024 @ Seattle; 4. 'Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform', Chunghyun Park*, Seungwook Kim*, Jaesik Park, Minsu Cho, The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024 @ Seattle; 5. 'Efficient Semantic Matching with Hypercolumn Correlation' (Best paper finalist), Seungwook Kim, Juhong Min, Minsu Cho, IEEE/CVF Winter Conference on Applications of Computer Vision.
Research Experience
1. PhD Intern, Data-Intelligent Creation-Vision and Graphics team, ByteDance, CA, USA, 09.2023 - 02.2024, worked on improving {image, text}-to-3D generation models and published 2 papers: CorrespondentDream (CVPR 2024) and MultiImageDream (Arxiv 2024); 2. Technical Chair, ACCV, Hanoi, Vietnam, 05.2024 - 12.2024, managed the Microsoft CMT for coordinating paper submission and reviewing process; 3. Undergraduate Intern, 3D Map construction from LiDAR, Polaris3D, Pohang, South Korea, 03.2020 - 07.2020, implemented the process of retrieving data from Intel Realsense cameras to Jetson Nano in real-time and merged the two streams of data from two different angles to output a 3D map in real-time; 4. Undergraduate Intern, Camera ISP, SK Hynix, Icheon, South Korea, 12.2019 - 01.2020, analyzed the image post-processing algorithms applied to raw images obtained from sensors and identified an imbalance in the dark corners (vignetting) of a raw image from a sensor under development; 5. Undergraduate Intern, AI team, Netmarble, Seoul, South Korea, 06.2019 - 08.2019, developed prior speech-to-3D lip synthesis pipeline to be light-weight (mobile-runnable) using TensorFlow and was accepted to Korea Software Congress 2019 (VOL 46 NO. 02 PP. 1690 ~ 1692 2019. 12); 6. Undergraduate Intern, Data Engineering & Analysis team, Dable, Seoul, South Korea, 02.2018 — 12.2018, analyzed heavy-traffic raw data collected at AWS RedShift using PostgreSQL, developed batch codes that run regularly on the AWS RedShift to output processed data on a MySQL server, analyzed processed data using MySQL, and developed a web crawling system to identify potential blog clients.
Education
1. Integrated MSc/PhD in Graduate School of AI, 2020 - 2026 (expected), POSTECH, under the supervision of Professor Minsu Cho; 2. BSc in Computer Sciences & Engineering, 2015 - 2020, POSTECH, Cumulative GPA: 3.70 / 4.3.
Background
Research Interests: (1) visual correspondences between 2D images or 3D point clouds (and their applications), (2) 2D/3D Equivariance, and (3) {Text, Image}-to-{3D, Video} Generation. Under the supervision of Professor Minsu Cho in the POSTECH Computer Vision Lab.