Nan Wang

Orcid: 0000-0003-2297-0000

Affiliations:
  • Ocean University of China, School of Information Science and Engineering, Qingdao, China


According to our database1, Nan Wang authored at least 20 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Multi-object reconstruction of plankton digital holograms.
Multim. Tools Appl., May, 2024

2022
Crossing or Not? Context-Based Recognition of Pedestrian Crossing Intention in the Urban Environment.
IEEE Trans. Intell. Transp. Syst., 2022

2020
Edge computing-based real-time passenger counting using a compact convolutional neural network.
Neural Comput. Appl., 2020

Fine-grained facial image-to-image translation with an attention based pipeline generative adversarial framework.
Multim. Tools Appl., 2020

Robust crowd counting based on refined density map.
Multim. Tools Appl., 2020

Counting crowds using a scale-distribution-aware network and adaptive human-shaped kernel.
Neurocomputing, 2020

2019
Anomalous Behaviors Detection in Moving Crowds Based on a Weighted Convolutional Autoencoder-Long Short-Term Memory Network.
IEEE Trans. Cogn. Dev. Syst., 2019

Unpaired photo-to-caricature translation on faces in the wild.
Neurocomputing, 2019

Video-Based Real Time Analysis of Plankton Particle Size Spectrum.
IEEE Access, 2019

2018
Counting challenging crowds robustly using a multi-column multi-task convolutional neural network.
Signal Process. Image Commun., 2018

Cross-Scene Counting Based on Domain Adaptation-Extreme Learning Machine.
IEEE Access, 2018

Teaching Squeeze-and-Excitation PyramidNet for Imbalanced Image Classification with GAN-based Curriculum Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Robust and automatic cell detection and segmentation from microscopic images of non-setae phytoplankton species.
IET Image Process., 2017

Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes.
CoRR, 2017

Counting congested crowds under wild conditions with a multi-task Inception network.
Commun. Inf. Syst., 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

Underwater Image Restoration via Maximum Attenuation Identification.
IEEE Access, 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
A Hybrid Convolutional Neural Network for Plankton Classification.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016


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