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Changhyeon Kim
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Publications
- 2019
- [j10]Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo:
UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision. IEEE J. Solid State Circuits 54(1): 173-185 (2019) - [c18]Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sungpill Choi, Youngwoo Kim, Hoi-Jun Yoo:
A 2.1TFLOPS/W Mobile Deep RL Accelerator with Transposable PE Array and Experience Compression. ISSCC 2019: 136-138 - 2018
- [j9]Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Youchang Kim, Hoi-Jun Yoo:
Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 873-883 (2018) - [c16]Juhyoung Lee, Changhyeon Kim, Sungpill Choi, Dongjoo Shin, Sanghoon Kang, Hoi-Jun Yoo:
A 46.1 fps Global Matching Optical Flow Estimation Processor for Action Recognition in Mobile Devices. ISCAS 2018: 1-5 - [c15]Jinmook Lee, Changhyeon Kim, Sanghoon Kang, Dongjoo Shin, Sangyeob Kim, Hoi-Jun Yoo:
UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision. ISSCC 2018: 218-220 - [c14]Sanghoon Kang, Jinmook Lee, Changhyeon Kim, Hoi-Jun Yoo:
B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification. VLSI Circuits 2018: 137-138 - 2017
- [c9]Sanghoon Kang, Jinmook Lee, Kyeongryeol Bong, Changhyeon Kim, Hoi-Jun Yoo:
A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices. ISCAS 2017: 1-4 - [c8]Kyeongryeol Bong, Sungpill Choi, Changhyeon Kim, Sanghoon Kang, Youchang Kim, Hoi-Jun Yoo:
14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector. ISSCC 2017: 248-249
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