Geonho Cha

Ph.D. student @ Cyber-Physical Systems Laboratory

Department of Electrical and Computer Engineering Seoul National University

I am a Ph.D. student in the Department of Electrical and Computer Engineering at the Seoul National University, Korea. I received bachelor’s degree in Electrical and Computer Engineering from Seoul National University in 2013.

Curriculum Vitae (PDF)

Email : geonho.cha at cpslab.snu.ac.kr, cgh5791 at snu.ac.kr

Research Interesets : Non-rigid Structure from Motion, Human Pose Estimation, Deep Learning.

 


Publications

International Journal

Non-rigid surface recovery with a robust local-rigidity prior

Geonho Cha, Minsik Lee, Jungchan Cho, and Songhwai Oh

Pattern Recognition Letters (Submitted)

 

Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks

Hyeongseok Oh, Geonho Cha, and Songhwai Oh

Sensors, vol. 14, no. 3, pp. 5516-5535, 2014.

Paper

 

 


International Conference

Light-Weight Semantic Segmentation for Compound Images

Geonho Cha, Hwiyeon Yoo, Donghoon Lee, and Songhwai Oh

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2017.

Paper

 

Multi-Modal Human Action Recognition Using Deep Neural Networks Fusing Image and Inertial Sensor Data

Inhwan Hwang, Geonho Cha, and Songhwai Oh

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2017.

Paper

 

Estimating Objectness Using a Compound Eye Camera (Oral)

Hwiyeon Yoo, Donghoon Lee, Geonho Cha, and Songhwai Oh

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2017.

Paper

 

Individualness and a Determinantal Point Process for Pedestrian Detection

Donghoon Lee, Geonho Cha, Ming-Hsuan Yang, and Songhwai Oh

IEEE European Conference on Computer Vision (ECCV), 2016.

PaperCode

 

SmartPTA: A Smartphone-Based Human Motion Evaluation System

Geonho Cha, Joonsig Gong, and Songhwai Oh

IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA), 2014.

Paper

 

 

 

Last update : December 27, 2017