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Seong-Heum Kim
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2020 – today
- 2023
- [j8]Samia Ahmed, Md. Sazzadur Rahman, Ismate Jahan, M. Shamim Kaiser, A. S. M. Sanwar Hosen, Deepak Ghimire, Seong-Heum Kim:
A Review on the Detection Techniques of Polycystic Ovary Syndrome Using Machine Learning. IEEE Access 11: 86522-86543 (2023) - [j7]Tanima Thakur, Isha Batra, Arun Malik, Deepak Ghimire, Seong-Heum Kim, A. S. M. Sanwar Hosen:
RNN-CNN Based Cancer Prediction Model for Gene Expression. IEEE Access 11: 131024-131044 (2023) - [j6]Deepak Ghimire, Kilho Lee, Seong-Heum Kim:
Loss-aware automatic selection of structured pruning criteria for deep neural network acceleration. Image Vis. Comput. 136: 104745 (2023) - 2020
- [j5]Seong-Heum Kim, Youngbae Hwang, In So Kweon:
Category-specific upright orientation estimation for 3D model classification and retrieval. Image Vis. Comput. 96: 103900 (2020) - [j4]Seong-Heum Kim, Gyeongmin Choe, Min-Gyu Park, In So Kweon:
Salient View Selection for Visual Recognition of Industrial Components. IEEE Robotics Autom. Lett. 5(2): 2506-2513 (2020)
2010 – 2019
- 2018
- [j3]Gyeongmin Choe, Seong-Heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa G. Narasimhan, In So Kweon:
RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing. IEEE Robotics Autom. Lett. 3(3): 1808-1815 (2018) - 2017
- [j2]Seong-Heum Kim, Yu-Wing Tai, Joon-Young Lee, Jaesik Park, In So Kweon:
Category-Specific Salient View Selection via Deep Convolutional Neural Networks. Comput. Graph. Forum 36(8): 313-328 (2017) - [c1]Seong-Heum Kim, Gyeongmin Choe, Byungtae Ahn, In-So Kweon:
Deep representation of industrial components using simulated images. ICRA 2017: 2003-2010 - 2016
- [j1]Seong-Heum Kim, Yu-Wing Tai, Jaesik Park, In So Kweon:
Multi-View Object Extraction With Fractional Boundaries. IEEE Trans. Image Process. 25(8): 3639-3654 (2016)
Coauthor Index
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