Si Wu

According to our database, Si Wu authored at least 83 papers between 2009 and 2024.

Collaborative distances:

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

2024

Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms.

Xiaoyang Huo, Yunfei Zhang, Si Wu

Pattern Recognit., February, 2024

A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing.

Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong

IEEE Trans. Multim., 2024

Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection.

Wenhao Wu, Hau-San Wong, Si Wu

IEEE Trans. Geosci. Remote. Sens., 2024

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention.

Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong

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

2023

Collaborative learning-based unknown-class instance identification for open-set domain adaptation.

Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong

Inf. Sci., December, 2023

Self-Supervised Graph Completion for Incomplete Multi-View Clustering.

Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong

IEEE Trans. Knowl. Data Eng., September, 2023

View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification.

Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Biomed. Eng., 2023

Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification.

Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong

Pattern Recognit., 2023

Discriminator feature-based progressive GAN inversion.

Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong

Knowl. Based Syst., 2023

Content-Aware Latent Semantic Direction Fusion for Multi-Attribute Editing.

Xiwen Wei, Yihan Tang, Si Wu

IEEE Multim., 2023

AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing.

Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin

CoRR, 2023

Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data.

Jian Zhong, Si Wu, Hau-San Wong

Proceedings of the IEEE International Conference on Image Processing, 2023

Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis.

Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong

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

Blemish-aware and Progressive Face Retouching with Limited Paired Data.

Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong

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

Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus.

Wenhao Wu, Hau-San Wong, Si Wu

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

Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation.

Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong

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

2022

Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning.

Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., 2022

Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection.

Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong

IEEE Trans. Multim., 2022

Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis.

Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong

IEEE Trans. Multim., 2022

Semisupervised Multiple Choice Learning for Ensemble Classification.

Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Cybern., 2022

Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data.

Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Attention regularized semi-supervised learning with class-ambiguous data for image classification.

Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong

Pattern Recognit., 2022

The residual generator: An improved divergence minimization framework for GAN.

Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li

Pattern Recognit., 2022

TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer.

Zhen Xu, Si Wu, Qianfen Jiao, Hau-San Wong

Knowl. Based Syst., 2022

Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios.

Wenhao Wu, Qianfen Jiao, Hau-San Wong, Gaozhe Li, Si Wu

Knowl. Based Syst., 2022

Perturbation-insensitive cross-domain image enhancement for low-quality face verification.

Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong

Inf. Sci., 2022

αβ-GAN: Robust generative adversarial networks.

Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li

Inf. Sci., 2022

Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning.

Guanyue Li, Xiwen Wei, Si Wu, Zhiwen Yu, Sheng Qian, Hau-San Wong

IEEE Multim., 2022

Scene-Adaptive Instance Modification for Semisupervised Pedestrian Detection.

Gaozhe Li, Si Wu

IEEE Multim., 2022

Source-Free Unsupervised Cross-Domain Pedestrian Detection via Pseudo Label Mining and Screening.

Zhiri Tang, Qianfen Jiao, Jian Zhong, Si Wu, Hau-San Wong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Semi-Supervised Generative Learning with Extended Distribution Matching for Class-Conditional Image Synthesis.

Xiaoyang Huo, Guangchang Deng, Si Wu, Zhiwen Yu, Peng Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis.

Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection.

Wenhao Wu, Si Wu, Hau-San Wong

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning.

Mohamed Azzam, Wenhao Wu, Wen-ming Cao, Si Wu, Hau-San Wong

IEEE Trans. Multim., 2021

Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification.

Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong

IEEE Trans. Image Process., 2021

DDAT: Dual domain adaptive translation for low-resolution face verification in the wild.

Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong

Pattern Recognit., 2021

Behavior regularized prototypical networks for semi-supervised few-shot image classification.

Shixin Huang, Xiangping Zeng, Si Wu, Zhiwen Yu, Mohamed Azzam, Hau-San Wong

Pattern Recognit., 2021

Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations.

Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adversarially Smoothed Feature Alignment for Visual Domain Adaptation.

Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong

Proceedings of the International Joint Conference on Neural Networks, 2021

Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders.

Guanyue Li, Xiwen Wei, Sheng Qian, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy.

Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation.

Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis.

Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition.

Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification.

Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong

IEEE Trans. Image Process., 2020

Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration.

Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Image Process., 2020

Generating Target Image-Label Pairs for Unsupervised Domain Adaptation.

Rui Li, Wenming Cao, Si Wu, Hau-San Wong

IEEE Trans. Image Process., 2020

Multitask Feature Selection by Graph-Clustered Feature Sharing.

Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Cybern., 2020

Simplified unsupervised image translation for semantic segmentation adaptation.

Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong

Pattern Recognit., 2020

Joint subspace and discriminative learning for self-paced domain adaptation.

Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong

Knowl. Based Syst., 2020

Self-Enhanced R-CNNs for Human Detection With Semi-Supervised Assumptions.

Xuexian Chen, Si Wu, Zhiwen Yu

IEEE Access, 2020

Adversarially Constrained Interpolation for Unsupervised Domain Adaptation.

Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning.

Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Model Adaptation: Unsupervised Domain Adaptation Without Source Data.

Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering.

Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., 2019

Multiobjective Semisupervised Classifier Ensemble.

Zhiwen Yu, Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, Jun Zhang

IEEE Trans. Cybern., 2019

Encoding sparse and competitive structures among tasks in multi-task learning.

Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong

Pattern Recognit., 2019

Unsupervised Multi-task Learning with Hierarchical Data Structure.

Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong

Pattern Recognit., 2019

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations.

Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement.

Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification.

Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification.

Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks.

Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Semi-Supervised Image Classification With Self-Paced Cross-Task Networks.

Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu

IEEE Trans. Multim., 2018

Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection.

Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu

IEEE Trans. Image Process., 2018

Variant SemiBoost for Improving Human Detection in Application Scenes.

Si Wu, Hau-San Wong, Shufeng Wang

IEEE Trans. Circuits Syst. Video Technol., 2018

Adaptive activation functions in convolutional neural networks.

Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong

Neurocomputing, 2018

Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification.

Farrikh Alzami, Juan Tang, Zhiwen Yu, Si Wu, C. L. Philip Chen, Jane You, Jun Zhang

IEEE Access, 2018

Coupled Learning for Image Generation and Latent Representation Inference Using MMD.

Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Self-supervised GAN for Image Generation by Correlating Image Channels.

Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks.

Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Efficient Direct Structured Subspace Clustering.

Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Adapting Generic Detector for Semi-Supervised Pedestrian Detection.

Shiyao Lei, Qiujia Ji, Shufeng Wang, Si Wu

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

2016

Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering.

Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han

IEEE Trans. Knowl. Data Eng., 2016

Progressive subspace ensemble learning.

Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han

Pattern Recognit., 2016

2015

Improving pedestrian detection with selective gradient self-similarity feature.

Si Wu, Robert Laganière, Pierre Payeur

Pattern Recognit., 2015

2014

A Bayesian Model for Crowd Escape Behavior Detection.

Si Wu, Hau-San Wong, Zhiwen Yu

IEEE Trans. Circuits Syst. Video Technol., 2014

2013

Event Detection using Local Part Model and Random Sampling Strategy for Visual Surveillance.

Si Wu, Feng Shi, Mathieu Jobin, Emilienne Pugin, Robert Laganière, Emil M. Petriu

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

2012

Crowd Motion Partitioning in a Scattered Motion Field.

Si Wu, Hau-San Wong

IEEE Trans. Syst. Man Cybern. Part B, 2012

Joint segmentation of collectively moving objects using a bag-of-words model and level set evolution.

Si Wu, Hau-San Wong

Pattern Recognit., 2012

A fuzzy minimax clustering model and its applications.

Xiang Li, Hau-San Wong, Si Wu

Inf. Sci., 2012

2009

Crowd Flow Segmentation Using a Novel Region Growing Scheme.

Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the Advances in Multimedia Information Processing, 2009

A Shape Derivative Based Approach for Crowd Flow Segmentation.

Si Wu, Zhiwen Yu, Hau-San Wong

Proceedings of the Computer Vision, 2009