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Wenmin Huang
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2020 – today
- 2024
- [c6]Wenmin Huang, Weiqi Luo, Jiwu Huang, Xiaochun Cao:
SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing. AAAI 2024: 2374-2381 - 2023
- [j5]Hao Lin, Wenmin Huang
, Weiqi Luo, Wei Lu:
DeepFake detection with multi-scale convolution and vision transformer. Digit. Signal Process. 134: 103895 (2023) - [j4]Yu Lian, Wenmin Huang, Shuang Liu
, Peng Guo, Zhong Zhang
, Tariq S. Durrani:
Person Re-Identification Using Local Relation-Aware Graph Convolutional Network. Sensors 23(19): 8138 (2023) - [c5]Ziyi Xi, Wenmin Huang, Kangkang Wei, Weiqi Luo, Peijia Zheng:
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network. APSIPA ASC 2023: 1463-1470 - [c4]Jinkun Huang
, Weiqi Luo
, Wenmin Huang
, Ziyi Xi
, Kangkang Wei
, Jiwu Huang
:
Multi-Scale Enhanced Dual-Stream Network for Facial Attribute Editing Localization. IWDW 2023: 151-165 - [i1]Ziyi Xi, Wenmin Huang, Kangkang Wei, Weiqi Luo, Peijia Zheng:
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network. CoRR abs/2306.07005 (2023) - 2021
- [j3]Wenmin Huang, Shuang Liu, Ruiling Luo, Tongzhen Si
, Zhong Zhang:
Dynamically occluded samples via adversarial learning for person re-identification in sensor networks. Ad Hoc Networks 110: 102316 (2021) - [c3]Shuang Liu, Wenmin Huang
, Zhong Zhang:
Learning Hybrid Relationships for Person Re-identification. AAAI 2021: 2172-2179 - 2020
- [j2]Shuang Liu, Wenmin Huang, Zhong Zhang:
Person re-identification using Hybrid Task Convolutional Neural Network in camera sensor networks. Ad Hoc Networks 97 (2020)
2010 – 2019
- 2019
- [j1]Wenmin Huang, Jiquan Ma:
Using Gaussian mixture model to fix errors in SFS approach based on propagation. Int. J. Comput. Sci. Eng. 19(4): 570-580 (2019) - 2017
- [c2]Ru Wen, Zheng Xie, Kai Chen, Ruoxuan Guo, Kuan Xu, Wenmin Huang, Jiyuan Tian, Jiang Wu:
Music Style Analysis among Haydn, Mozart, and Beethoven: an Unsupervised Machine Learning Approach. ICMC 2017 - 2016
- [c1]Wenmin Huang, Jiquan Ma, Enbin Zhang:
Using Gaussian Mixture Model to Fix Errors in SFS Approach Based on Propagation. ICYCSEE (1) 2016: 703-712
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last updated on 2024-08-05 20:23 CEST by the dblp team
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