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Minhyun Lee
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2020 – today
- 2024
- [i4]Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim:
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation. CoRR abs/2406.11384 (2024) - 2023
- [j2]Seoungyoon Kang
, Minhyun Lee, Minjae Kim
, Hyunjung Shim
:
HybridMatch: Semi-Supervised Facial Landmark Detection via Hybrid Heatmap Representations. IEEE Access 11: 26125-26135 (2023) - [j1]Minhyun Lee
, Seungho Lee
, Jongwuk Lee
, Hyunjung Shim
:
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12341-12357 (2023) - [i3]Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim:
Forging Tokens for Improved Storage-efficient Training. CoRR abs/2312.10105 (2023) - 2022
- [c4]Minhyun Lee, Dongseob Kim, Hyunjung Shim:
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. CVPR 2022: 4320-4329 - [i2]Minhyun Lee, Dongseob Kim, Hyunjung Shim:
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. CoRR abs/2203.16045 (2022) - 2021
- [c3]Seungho Lee
, Minhyun Lee, Jongwuk Lee, Hyunjung Shim:
Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation. CVPR 2021: 5495-5505 - [i1]Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim:
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation. CoRR abs/2105.08965 (2021) - 2020
- [c2]Kyungjune Baek, Minhyun Lee, Hyunjung Shim:
PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. AAAI 2020: 10451-10459
2010 – 2019
- 2016
- [c1]TaeHoon Hong
, Jeongyoon Oh, Kwangbok Jeong
, Jimin Kim
, Minhyun Lee
:
Establishment of Optimal Control Strategy of Building-Integrated Photovoltaic Blind Slat Angle by Considering Interior Illuminance and Electricity Generation. MOD 2016: 451-454
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last updated on 2024-07-19 18:31 CEST by the dblp team
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