According to our database1, Changhyeon Kim authored at least 31 papers between 2013 and 2020.
Legend:Book In proceedings Article PhD thesis Other
A 0.22-0.89 mW Low-Power and Highly-Secure Always-On Face Recognition Processor With Adversarial Attack Prevention.
IEEE Trans. Circuits Syst. II Express Briefs, 2020
A 0.5V, 6.2μW, 0.059mm<sup>2</sup> Sinusoidal Current Generator IC with 0.088% THD for Bio-Impedance Sensing.
Proceedings of the IEEE Symposium on VLSI Circuits, 2020
UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision.
IEEE J. Solid State Circuits, 2019
A 2.1TFLOPS/W Mobile Deep RL Accelerator with Transposable PE Array and Experience Compression.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019
An Ultra-Low-Power Analog-Digital Hybrid CNN Face Recognition Processor Integrated with a CIS for Always-on Mobile Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
A Low-Power Convolutional Neural Network Face Recognition Processor and a CIS Integrated With Always-on Face Detector.
IEEE J. Solid State Circuits, 2018
Parameterised codebook design based on channel statistics for efficient multi-rank MIMO transmission.
IET Commun., 2018
Low-Power Scalable 3-D Face Frontalization Processor for CNN-Based Face Recognition in Mobile Devices.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018
UNPU: A 50.6TOPS/W unified deep neural network accelerator with 1b-to-16b fully-variable weight bit-precision.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018
A 46.1 fps Global Matching Optical Flow Estimation Processor for Action Recognition in Mobile Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
IEEE Micro, 2017
A 502-GOPS and 0.984-mW Dual-Mode Intelligent ADAS SoC With Real-Time Semiglobal Matching and Intention Prediction for Smart Automotive Black Box System.
IEEE J. Solid State Circuits, 2017
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017
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.
Proceedings of the 2017 IEEE International Solid-State Circuits Conference, 2017
A 0.53mW ultra-low-power 3D face frontalization processor for face recognition with human-level accuracy in wearable devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
A Real-Time and Energy-Efficient Embedded System for Intelligent ADAS with RNN-Based Deep Risk Prediction using Stereo Camera.
Proceedings of the Computer Vision Systems - 11th International Conference, 2017
An ultra-low-power and mixed-mode event-driven face detection SoC for always-on mobile applications.
Proceedings of the 43rd IEEE European Solid State Circuits Conference, 2017
Convergence-enhanced dense RGB-D odometry with a rotational motion prior from a gyroscope.
Proceedings of the 11th Asian Control Conference, 2017
A CMOS Image Sensor-Based Stereo Matching Accelerator With Focal-Plane Sparse Rectification and Analog Census Transform.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016
14.2 A 502GOPS and 0.984mW dual-mode ADAS SoC with RNN-FIS engine for intention prediction in automotive black-box system.
Proceedings of the 2016 IEEE International Solid-State Circuits Conference, 2016
A 43.7 mW 94 fps CMOS image sensor-based stereo matching accelerator with focal-plane rectification and analog census transformation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
An intelligent ADAS processor with real-time semi-global matching and intention prediction for 720p stereo vision.
Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016
An energy-efficient parallel multi-core ADAS processor with robust visual attention and workload-prediction DVFS for real-time HD stereo stream.
Proceedings of the 2016 IEEE Symposium in Low-Power and High-Speed Chips, 2016
J. Supercomput., 2015
A Wearable EEG-HEG-HRV Multimodal System With Simultaneous Monitoring of tES for Mental Health Management.
IEEE Trans. Biomed. Circuits Syst., 2015
21.9 A wearable EEG-HEG-HRV multimodal system with real-time tES monitoring for mental health management.
Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A Resource Reduction Scheme with Low Migration Frequency for Virtual Machines on a Cloud Cluster.
KSII Trans. Internet Inf. Syst., 2013