Guanghua Gu

According to our database, Guanghua Gu authored at least 45 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-attention Guidance Based Crowd Localization and Counting.

Zhouzhou Ma, Guanghua Gu, Wenrui Zhao

Mach. Intell. Res., October, 2024

Implicit-Explicit Motion Learning for Video Camouflaged Object Detection.

Wenjun Hui, Zhenfeng Zhu, Guanghua Gu, Meiqin Liu, Yao Zhao

IEEE Trans. Multim., 2024

Gradient aggregation based fine-grained image retrieval: A unified viewpoint for CNN and Transformer.

Han Yu, Huibin Lu, Min Zhao, Zhuoyi Li, Guanghua Gu

Pattern Recognit., 2024

Semi-supervised cross-modal hashing with joint hyperboloid mapping.

Hao Fu, Guanghua Gu, Yiyang Dou, Zhuoyi Li, Yao Zhao

Knowl. Based Syst., 2024

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection.

Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei

CoRR, 2024

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning.

Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei

CoRR, 2024

Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection.

Chuangchuang Tan, Huan Liu, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Semantic supervised learning based Cross-Modal Retrieval.

Zhuoyi Li, Hao Fu, Guanghua Gu

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Domain Learning.

Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Shallow Feature-driven Dual-edges Localization Network for Weakly Supervised Localization.

Wenjun Hui, Guanghua Gu, Bo Wang

Mach. Intell. Res., December, 2023

Emotion Recognition on EEG Signal Using ResNeXt Attention 2D-3D Convolution Neural Networks.

Dong Cui, Hongyuan Xuan, Jing Liu, Guanghua Gu, Xiaoli Li

Neural Process. Lett., October, 2023

Weakly supervised discriminate enhancement network for visual sentiment analysis.

Zhuoyi Li, Huibin Lu, Chuang Zhao, Linjing Feng, Guanghua Gu, Wenbai Chen

Artif. Intell. Rev., February, 2023

Dual-Gradients Localization Framework With Skip-Layer Connections for Weakly Supervised Object Localization.

Chuangchuang Tan, Guanghua Gu, Tao Ruan, Shikui Wei, Yao Zhao

IEEE Trans. Multim., 2023

Semi-Supervised Knowledge Distillation for Cross-Modal Hashing.

Mingyue Su, Guanghua Gu, Xianlong Ren, Hao Fu, Yao Zhao

IEEE Trans. Multim., 2023

Parallel learned generative adversarial network with multi-path subspaces for cross-modal retrieval.

Zhuoyi Li, Huibin Lu, Hao Fu, Guanghua Gu

Inf. Sci., 2023

Adaptive Adversarial Learning based cross-modal retrieval.

Zhuoyi Li, Huibin Lu, Hao Fu, Zhongrui Wang, Guanghua Gu

Eng. Appl. Artif. Intell., 2023

A new EEG determinism analysis method based on multiscale dispersion recurrence plot.

Jing Liu, Huibin Lu, Yuanyuan Guo, Guanghua Gu, Xiaoli Li, Dong Cui

Biomed. Signal Process. Control., 2023

Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection.

Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Yunchao Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Gradient-based refined class activation map for weakly supervised object localization.

Wenjun Hui, Chuangchuang Tan, Guanghua Gu, Yao Zhao

Pattern Recognit., 2022

CUMTGAN: An instance-level controllable U-Net GAN for facial makeup transfer.

Miao Hao, Guanghua Gu, Hao Fu, Chang Liu, Dong Cui

Knowl. Based Syst., 2022

Image-text bidirectional learning network based cross-modal retrieval.

Zhuoyi Li, Huibin Lu, Hao Fu, Guanghua Gu

Neurocomputing, 2022

Emotion Recognition from EEG Using All-Convolution Residual Neural Network.

Hongyuan Xuan, Jing Liu, Penghui Yang, Guanghua Gu, Dong Cui

Proceedings of the Human Brain and Artificial Intelligence - Third International Workshop, 2022

2021

Multi-semantic region weighting and multi-scale flatness weighting based image retrieval.

Guanghua Gu, Zhuoyi Li, Linjing Feng, Jiangtao Liu, Huibin Lu, Yao Zhao

Soft Comput., 2021

Attention-based Dual-Branches Localization Network for Weakly Supervised Object Localization.

Wenjun Hui, Chuangchuang Tan, Guanghua Gu

Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

2020

Joint learning based deep supervised hashing for large-scale image retrieval.

Guanghua Gu, Jiangtao Liu, Zhuoyi Li, Wenhua Huo, Yao Zhao

Neurocomputing, 2020

LID 2020: The Learning from Imperfect Data Challenge Results.

Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

CoRR, 2020

Dual-Gradients Localization Framework for Weakly Supervised Object Localization.

Chuangchuang Tan, Guanghua Gu, Tao Ruan, Shikui Wei, Yao Zhao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Image Retrieval Based On Multi-Semantic Region Weighting And Multi-Scale Flatness Weighting.

Zhuoyi Li, Guanghua Gu, Linjing Feng, Jiangtao Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Partial Order Structure Based Image Retrieval.

Zhuoyi Li, Guanghua Gu, Jiangtao Liu

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2017

Improving the Impervious Surface Estimation from Hyperspectral Images Using a Spectral-Spatial Feature Sparse Representation and Post-Processing Approach.

Shuai Liu, Guanghua Gu

Remote. Sens., 2017

Key Words Extraction and Semantic-Based Image Retrieval on RNNs.

Lifei Han, Guanghua Gu

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

A new EEG synchronization strength analysis method: S-estimator based normalized weighted-permutation mutual information.

Dong Cui, Weiting Pu, Jing Liu, Zhijie Bian, Qiuli Li, Lei Wang, Guanghua Gu

Neural Networks, 2016

Symbol Recurrence Plots based resting-state eyes-closed EEG deterministic analysis on amnestic mild cognitive impairment in type 2 diabetes mellitus.

Dong Cui, Jinhuan Wang, Lei Wang, Shimin Yin, Zhijie Bian, Guanghua Gu

Neurocomputing, 2016

A dimensionality reduction method based on structured sparse representation for face recognition.

Guanghua Gu, Zhichao Hou, Chunxia Chen, Yao Zhao

Artif. Intell. Rev., 2016

Improving the similarity estimation via score distribution.

Lixin Liao, Shikui Wei, Yao Zhao, Guanghua Gu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Background priors based saliency object detection.

Zexia Liu, Guanghua Gu, Chunxia Chen, Dong Cui, Chunyu Lin

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015

Visual Saliency Detection Based Object Recognition.

Guanghua Gu, Jiaojiao Zhu, Zexia Liu, Yao Zhao

J. Inf. Hiding Multim. Signal Process., 2015

2012

Scene categorization based on integrated feature description and local weighted feature mapping.

Fengcai Li, Guanghua Gu, Chengru Wang

Comput. Electr. Eng., 2012

2011

Integrated image representation based natural scene classification.

Guanghua Gu, Yao Zhao, Zhenfeng Zhu

Expert Syst. Appl., 2011

Polar Angle Detection and Image Combination Based Leukocyte Segmentation for Overlapping Cell Images.

Guanghua Gu, Dong Cui

Comput. Informatics, 2011

2010

Research on the Feature Displacement Map of the Facial Expression.

Wenbai Chen, Guanghua Gu

Proceedings of the 2010 Asia-Pacific Conference on Wearable Computing Systems, 2010

2009

Category Constrained Learning Model for Scene Classification.

Yingjun Tang, De Xu, Guanghua Gu, Shuoyan Liu

IEICE Trans. Inf. Syst., 2009

An Integrative Codebook for Natural Scene Categorization.

Guanghua Gu, Yao Zhao, Zhenfeng Zhu

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

Neural Mass Modeling for Multi-Channel EEG Synchronization Analyzing.

Dong Cui, Xiaoli Li, Guanghua Gu

Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2005

The prediction algorithm for channels based on preprocessing.

Yuliang Cong, Dong Cui, Guanghua Gu, Haiying Wang

Proceedings of the Signal and Image Processing (SIP 2005), 2005