Junik Jang

According to our database, Junik Jang authored at least 9 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

MTCNet: Multi-Task Complex Network for Concurrent Channel Estimation and Equalization.

Dongha Bahn, Jae-Il Jung, Junik Jang, Changbae Yoon, Chanjong Park, Intaik Park

Proceedings of the IEEE Global Communications Conference, 2021

LWCNet: Lightweight Complex Neural Network for Real-Time Channel Estimation.

Dongha Bahn, Jae-Il Jung, Junik Jang, Changbae Yoon, Chanjong Park

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Collaborative Learning with Pseudo Labels for Robust Classification in the Presence of Noisy Labels.

Chanjong Park, Jae-Il Jung, Dongha Bahn, Jonghee Hong, Junik Jang, Jiman Kim, Intaik Park

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Cosine Focal Loss-based Change Detection for Video Surveillance Systems.

Jae-Il Jung, Junik Jang, Jonghee Hong

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018

Light-weight visual place recognition using convolutional neural network for mobile robots.

Chanjong Park, Junik Jang, Lei Zhang, Jae-Il Jung

Proceedings of the IEEE International Conference on Consumer Electronics, 2018

End-to-end deep learning for autonomous navigation of mobile robot.

Ye-Hoon Kim, Junik Jang, Sojung Yun

Proceedings of the IEEE International Conference on Consumer Electronics, 2018

2017

Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks.

Bhargava Reddy, Ye-Hoon Kim, Sojung Yun, Chanwon Seo, Junik Jang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

End to End Deep Learning for Single Step Real-Time Facial Expression Recognition.

Bhargava Reddy, Ye-Hoon Kim, Sojung Yun, Junik Jang, Soonhyuk Hong

Proceedings of the Video Analytics. Face and Facial Expression Recognition and Audience Measurement, 2016

2013

Empirical Evaluation on Deep Learning of Depth Feature for Human Activity Recognition.

Junik Jang, Youngbin Park, Il Hong Suh

Proceedings of the Neural Information Processing - 20th International Conference, 2013