Chu-Tak Li

Orcid: 0000-0001-6338-7482

According to our database1, Chu-Tak Li authored at least 17 papers between 2018 and 2021.

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Bibliography

2021
Fast Monocular Visual Place Recognition for Non-Uniform Vehicle Speed and Varying Lighting Environment.
IEEE Trans. Intell. Transp. Syst., 2021

2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.
CoRR, 2020

Video Lightening with Dedicated CNN Architecture.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


Deep Relighting Networks for Image Light Source Manipulation.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020


Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Vision-based Place Recognition Using ConvNet Features and Temporal Correlation Between Consecutive Frames.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Semi-Supervised Deep Vision-Based Localization Using Temporal Correlation Between Consecutive Frames.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Image Super-Resolution via Attention Based Back Projection Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


Hierarchical Back Projection Network for Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


2018
Boosting the Performance of Scene Recognition via Offline Feature-Shifts and Search Window Weights.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Fast Monocular Vision-based Railway Localization for Situations with Varying Speeds.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018


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