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Yoonwoo Jeong
Yoonwoo Jeong
POSTECH, AIGS, computer vision lab.
Verified email at postech.ac.kr - Homepage
Title
Cited by
Cited by
Year
Self-Calibrating Neural Radiance Fields
Y Jeong, S Ahn, C Choy, A Anandkumar, M Cho, J Park
International Conference on Computer Vision, 2021
1712021
Fast Point Transformer
C Park, Y Jeong, M Cho, J Park
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
1432022
PeRFception: Perception using radiance fields
Y Jeong, S Shin, J Lee, C Choy, A Anandkumar, M Cho, J Park
Advances in Neural Information Processing Systems 35, 26105-26121, 2022
162022
Self-supervised Learning of Image Scale and Orientation Estimation
J Lee, Y Jeong, M Cho
British Machine Vision Virtual Conference, 2021
14*2021
Learning to Distill Convolutional Features Into Compact Local Descriptors
J Lee, Y Jeong, S Kim, J Min, M Cho
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
102021
Efficient Point Transformer for Large-scale 3D Scene Understanding
C Park, Y Jeong, M Cho, J Park
42021
Stable and consistent prediction of 3D characteristic orientation via invariant residual learning
S Kim, C Park, Y Jeong, J Park, M Cho
arXiv preprint arXiv:2306.11406, 2023
22023
SeLCA: Self-supervised learning of canonical axis
S Kim, Y Jeong, C Park, J Park, M Cho
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
22022
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Y Jeong, J Lee, DL Chiheon Kim, Minsu Cho
arXiv, 2023
2023
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Articles 1–9