Chang-Woo Shin

A 1280×960 Dynamic Vision Sensor with a 4.95-μm Pixel Pitch and Motion Artifact Minimization

Yongin Park, Dong-Hee Yeo, Yunjae Suh, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

Gesture recognition system based on Adaptive Resonance Theory

Stephen Grossberg, Gail A. Carpenter, Chang-Woo Shin, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

4.1 A 640×480 dynamic vision sensor with a 9µm pixel and 300Meps address-event representation

Sungho Kim, Kyoobin Lee, Bongki Son, 2017, 2017 IEEE International Solid-State Circuits Conference (ISSCC).

Real-Time Gesture Interface Based on Event-Driven Processing From Stereo Silicon Retinas

Tobi Delbrück, Chang-Woo Shin, Hyunsurk Ryu, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique

Qiang Wang, Kyoobin Lee, Ha Young Kim, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Live demonstration: Gesture-based remote control using stereo pair of dynamic vision sensors

Tobi Delbrück, Chang-Woo Shin, Hyunsurk Ryu, 2012, 2012 IEEE International Symposium on Circuits and Systems.

Low-Latency Interactive Sensing for Machine Vision

Qiang Wang, Yohan J. Roh, Paul K. J. Park, 2019, 2019 IEEE International Electron Devices Meeting (IEDM).

Computationally efficient, real-time motion recognition based on bio-inspired visual and cognitive processing

Kyoobin Lee, Yunjae Suh, Jun-Seok Kim, 2015, 2015 IEEE International Conference on Image Processing (ICIP).