Jae-Seok Choi

According to our database1, Jae-Seok Choi authored at least 16 papers between 2015 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
A Real-Time Convolutional Neural Network for Super-Resolution on FPGA With Applications to 4K UHD 60 fps Video Services.
IEEE Trans. Circuits Syst. Video Techn., 2019

S3: A Spectral-Spatial Structure Loss for Pan-Sharpening Networks.
CoRR, 2019

2018
2X Super-Resolution Hardware Using Edge-Orientation-Based Linear Mapping for Real-Time 4K UHD 60 fps Video Applications.
IEEE Trans. on Circuits and Systems, 2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.
CoRR, 2018


High-Resolution Image Dehazing With Respect to Training Losses and Receptive Field Sizes.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN With Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Single Image Super-Resolution Using Lightweight CNN with Maxout Units.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Single Image Super-Resolution Using Global Regression Based on Multiple Local Linear Mappings.
IEEE Trans. Image Processing, 2017

Can Maxout Units Downsize Restoration Networks? - Single Image Super-Resolution Using Lightweight CNN with Maxout Units.
CoRR, 2017


A Deep Convolutional Neural Network with Selection Units for Super-Resolution.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Single Image Super-Interpolation using Adjusted Self-Exemplars.
Proceedings of the Computational Imaging XV, Burlingame, 2017

2016
Super-Interpolation With Edge-Orientation-Based Mapping Kernels for Low Complex 2× Upscaling.
IEEE Trans. Image Processing, 2016

2015
Single image super-resolution based on self-examples using context-dependent subpatches.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A no-reference perceptual blurriness metric based fast super-resolution of still pictures using sparse representation.
Proceedings of the Computational Imaging XIII, 2015


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