Self-Supervised Learning of Image Scale and Orientation. - Jongmin Lee 005; Yoonwoo Jeong; Minsu Cho (BMVC, 2021)

Self-Calibrating Neural Radiance Fields. - Yoonwoo Jeong; Seokjun Ahn; Christopher B. Choy; Animashree Anandkumar; Minsu Cho; Jaesik Park (ICCV, 2021)

Learning to Distill Convolutional Features into Compact Local Descriptors. - Jongmin Lee 005; Yoonwoo Jeong; Seungwook Kim 005; Juhong Min; Minsu Cho (WACV, 2021)

Fast Point Transformer. - Chunghyun Park; Yoonwoo Jeong; Minsu Cho; Jaesik Park (CVPR, 2022)

PeRFception: Perception using Radiance Fields. - Yoonwoo Jeong; Seungjoo Shin; Junha Lee; Christopher B. Choy; Anima Anandkumar; Minsu Cho; Jaesik Park (NeurIPS, 2022)

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. - Seungwook Kim 005; Chunghyun Park; Yoonwoo Jeong; Jaesik Park; Minsu Cho (ICML, 2023)

NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image. - Yoonwoo Jeong; Jinwoo Lee; Chiheon Kim; Minsu Cho; Doyup Lee (ECCV (48), 2024)

RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos. - Yoonwoo Jeong; Junmyeong Lee; Hoseung Choi; Minsu Cho (CoRR, 2024)