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Moon Ye-Bin
Moon Ye-Bin
Dept. of EE, POSTECH
postech.ac.kr의 이메일 확인됨 - 홈페이지
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Fedpara: Low-rank hadamard product for communication-efficient federated learning
N Hyeon-Woo, M Ye-Bin, TH Oh
arXiv preprint arXiv:2108.06098, 2021
522021
Hdr-plenoxels: Self-calibrating high dynamic range radiance fields
K Jun-Seong, K Yu-Ji, M Ye-Bin, TH Oh
European Conference on Computer Vision, 384-401, 2022
182022
ENInst: Enhancing weakly-supervised low-shot instance segmentation
M Ye-Bin, D Choi, Y Kwon, J Kim, TH Oh
Pattern Recognition 145, 109888, 2024
42024
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective
M Ye-Bin, N Hyeon-Woo, W Choi, N Kim, S Kwak, TH Oh
arXiv preprint arXiv:2308.00994, 2023
32023
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
M Ye-Bin, J Kim, H Kim, K Son, TH Oh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation
D Choi, M Ye-Bin, J Kim, TH Oh
22021
Enriching visual features via text-driven manifold augmentation
M Ye-Bin, J Kim, H Kim, K Son, TH Oh
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
12023
Supplementary Material for “HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields”
K Jun-Seong, K Yu-Ji, M Ye-Bin, TH Oh
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