Zhibin Yu
Orcid: 0000-0003-4372-1767Affiliations:
- Ocean University of China, Department of Electronic Engineering, College of Information Science and Engineering, Qingdao, China
- Kyungpook National University, Daegu, South Korea (PhD 2016)
According to our database1,
Zhibin Yu
authored at least 49 papers
between 2013 and 2023.
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Bibliography
2023
Robust Perception Under Adverse Conditions for Autonomous Driving Based on Data Augmentation.
IEEE Trans. Intell. Transp. Syst., December, 2023
Scale Information Enhancement for Few-Shot Object Detection on Remote Sensing Images.
Remote. Sens., November, 2023
2022
One-Shot Image-to-Image Translation via Part-Global Learning With a Multi-Adversarial Framework.
IEEE Trans. Multim., 2022
Not every sample is efficient: Analogical generative adversarial network for unpaired image-to-image translation.
Neural Networks, 2022
2021
Unpaired Underwater Image Synthesis with a Disentangled Representation for Underwater Depth Map Prediction.
Sensors, 2021
Generative Adversarial Network with Multi-branch Discriminator for imbalanced cross-species image-to-image translation.
Neural Networks, 2021
Learning spectral normalized adversarial systems with stacked structure for high-quality 3D object generation.
Concurr. Comput. Pract. Exp., 2021
Representation-guided generative adversarial network for unpaired photo-to-caricature translation.
Comput. Electr. Eng., 2021
2020
Sensors, 2020
Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework.
Multim. Tools Appl., 2020
Multim. Tools Appl., 2020
KA-Ensemble: towards imbalanced image classification ensembling under-sampling and over-sampling.
Multim. Tools Appl., 2020
Discriminative Region Proposal Adversarial Network for High-Quality Image-to-Image Translation.
Int. J. Comput. Vis., 2020
Fast and accurate online sequential learning of respiratory motion with random convolution nodes for radiotherapy applications.
Appl. Soft Comput., 2020
In Situ Holothurian Noncontact Counting System: A General Framework for Holothurian Counting.
IEEE Access, 2020
IEEE Access, 2020
IEEE Access, 2020
IEEE Access, 2020
2019
Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation.
CoRR, 2019
Comput. Electr. Eng., 2019
2018
Neurocomputing, 2018
IEEE Access, 2018
Improving Transfer Learning and Squeeze- and-Excitation Networks for Small-Scale Fine-Grained Fish Image Classification.
IEEE Access, 2018
The Synthesis of Unpaired Underwater Images Using a Multistyle Generative Adversarial Network.
IEEE Access, 2018
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2018, 2018
2017
Understanding human intention by connecting perception and action learning in artificial agents.
Neural Networks, 2017
Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species.
IET Image Process., 2017
Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding.
Frontiers Neurorobotics, 2017
Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes.
CoRR, 2017
Underwater Inherent Optical Properties Estimation Using a Depth Aided Deep Neural Network.
Comput. Intell. Neurosci., 2017
Automatic plankton image classification combining multiple view features via multiple kernel learning.
BMC Bioinform., 2017
CGAN-plankton: Towards large-scale imbalanced class generation and fine-grained classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016
2015
Robotics Auton. Syst., 2015
Neural Networks, 2015
Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A Fast Training Algorithm of Multiple-Timescale Recurrent Neural Network for Agent Motion Generation.
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015
Proceedings of the 3rd International Conference on Human-Agent Interaction, 2015
2013
Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Supervised Multiple Timescale Recurrent Neuron Network Model for Human Action Classification.
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Multiple Timescale Recurrent Neural Network with Slow Feature Analysis for Efficient Motion Recognition.
Proceedings of the Neural Information Processing - 20th International Conference, 2013