Nian Wang

Orcid: 0000-0002-3731-5626

Affiliations:
  • Anhui University, School of Electronic and Information Engineering, Hefei, China


According to our database1, Nian Wang authored at least 33 papers between 2007 and 2026.

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

Timeline

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Bibliography

2026
Multiple motion pattern augmentation assisted gait recognition.
Signal Process., 2026

2025
Gait Recognition via Motion Difference Representation Learning and Salient Feature Modeling.
IEEE Trans. Hum. Mach. Syst., August, 2025

DouN-GNN:Double nodes graph neural network for few-shot learning.
Neurocomputing, 2025

2024
A multi-scale hierarchical node graph neural network for few-shot learning.
Multim. Tools Appl., June, 2024

Three-dimensional human pose estimation based on contact pressure.
J. Electronic Imaging, 2024

GaitSCM: Causal representation learning for gait recognition.
Comput. Vis. Image Underst., 2024

Cross-modality Deformed Footprint Image Retrieval by Shape and Multi-layer Information.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

DisenCB: Learning Diverse Disentangled Representation for Cross-Domain Consecutive Footprint Retrieval.
Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

2023
SAE-PPL: Self-guided attention encoder with prior knowledge-guided pseudo labels for weakly supervised video anomaly detection.
J. Vis. Commun. Image Represent., December, 2023

Deep attention sampling hashing for efficient image retrieval.
Neurocomputing, November, 2023

Multi-feature fusion for fine-grained sketch-based image retrieval.
Multim. Tools Appl., October, 2023

Unsupervised person re-identification via multi-domain joint learning.
Pattern Recognit., June, 2023

Multi-scale confusion and filling mechanism for pressure footprint recognition.
Neural Comput. Appl., 2023

2021
A negative transfer approach to person re-identification via domain augmentation.
Inf. Sci., 2021

MSEC: Multi-Scale Erasure and Confusion for fine-grained image classification.
Neurocomputing, 2021

Multi-granularity feature learning network for deep hashing.
Neurocomputing, 2021

Deep Weibull hashing with maximum mean discrepancy quantization for image retrieval.
Neurocomputing, 2021

A feature disentangling approach for person re-identification via self-supervised data augmentation.
Appl. Soft Comput., 2021

Mixed attention dense network for sketch classification.
Appl. Intell., 2021

2020
Attentive multi-stage convolutional neural network for crowd counting.
Pattern Recognit. Lett., 2020

Self-supervised data augmentation for person re-identification.
Neurocomputing, 2020

Towards affine-invariant graph matching: A directed graph based method.
Digit. Signal Process., 2020

2018
Discriminative Correlation Quantization for Cross-Modal Similarity Retrieval.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Rich Convolutional Features Fusion for Crowd Counting.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Structure-Aware 3D Shape Synthesis from Single-View Images.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Multi-kernel Hashing with Semantic Correlation Maximization for Cross-Modal Retrieval.
Proceedings of the Image and Graphics - 9th International Conference, 2017

2016
Semantic Boosting Cross-Modal Hashing for efficient multimedia retrieval.
Inf. Sci., 2016

Bifurcation control of complex networks model via PD controller.
Neurocomputing, 2016

2014
Hopf bifurcation control of congestion control model in a wireless access network.
Neurocomputing, 2014

2007
A Laplacian spectral method for stereo correspondence.
Pattern Recognit. Lett., 2007

Spectral Edit Distance Method for Image Clustering.
Proceedings of the Advances in Data and Web Management, 2007

Spectral Correspondence Using the TPS Deformation Model.
Proceedings of the Advances in Neural Networks, 2007

Spectral Correspondence Using Local Similarity Analysis.
Proceedings of the Computational Intelligence and Security, International Conference, 2007


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