Cheng-Bin Jin

Orcid: 0000-0001-8486-5738

According to our database1, Cheng-Bin Jin authored at least 16 papers between 2015 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Segmentation-based ID preserving iris synthesis using generative adversarial networks.
Multim. Tools Appl., March, 2024

2022
Multi-Conditional Constraint Generative Adversarial Network-Based MR Imaging from CT Scan Data.
Sensors, 2022

2019
Feasible Self-Calibration of Larger Field-of-View (FOV) Camera Sensors for the Advanced Driver-Assistance System (ADAS).
Sensors, 2019

Deep CT to MR Synthesis Using Paired and Unpaired Data.
Sensors, 2019

Mixture separability loss in a deep convolutional network for image classification.
IET Image Process., 2019

Online multiple object tracking using confidence score-based appearance model learning and hierarchical data association.
IET Comput. Vis., 2019

Integrated Detection and Tracking for ADAS Using Deep Neural Network.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

2018
Occlusion-robust object tracking based on the confidence of online selected hierarchical features.
IET Image Process., 2018

Local similarity refinement of shape-preserved warping for parallax-tolerant image stitching.
IET Image Process., 2018

Deep CT to MR Synthesis using Paired and Unpaired Data.
CoRR, 2018

Scale-Invarinat Kernelized Correlation Filter using Convolutional Feature for Object Tracking.
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018

CT-Based MR Synthesis Using Adversarial Cycle-Consistent Networks with Paired Data Learning.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017
Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN.
CoRR, 2017

2015
Improvement of Accuracy for Human Action Recognition by Histogram of Changing Points and Average Speed Descriptors.
J. Comput. Sci. Eng., 2015

A simplified nonlinear regression method for human height estimation in video surveillance.
EURASIP J. Image Video Process., 2015

Real-Time Human Action Recognition Using CNN Over Temporal Images for Static Video Surveillance Cameras.
Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015


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