Si Wu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 79

Top Topics

Pedestrian Detection

Image Synthesis

Classifier Ensemble

Top Venues

Pattern Recognit.

IEEE Trans. Multim.

IEEE Trans. Image Process.

Publications

Xiaoyang Huo, Yunfei Zhang, Si Wu
Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms. Pattern Recognit. 146 (2024)
Jian Zhong, Qianfen Jiao, Si Wu, Cheng Liu, Hau-San Wong
Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. Knowl. Based Syst. 289 (2024)
Wenhao Wu, Hau-San Wong, Si Wu
Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong
RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. AAAI (2024)
Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong
A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing. IEEE Trans. Multim. 26 (2024)
Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong
Blemish-aware and Progressive Face Retouching with Limited Paired Data. CVPR (2023)
Jian Zhong, Si Wu, Hau-San Wong
Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. ICIP (2023)
Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong
Collaborative learning-based unknown-class instance identification for open-set domain adaptation. Inf. Sci. 651 (2023)
Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. IEEE Trans. Biomed. Eng. 70 (1) (2023)
Wenhao Wu, Hau-San Wong, Si Wu
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. CVPR (2023)
Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong
Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification. Pattern Recognit. 133 (2023)
Xiwen Wei, Yihan Tang, Si Wu
Content-Aware Latent Semantic Direction Fusion for Multi-Attribute Editing. IEEE Multim. 30 (3) (2023)
Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. CVPR (2023)
Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong
Self-Supervised Graph Completion for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong
Discriminator feature-based progressive GAN inversion. Knowl. Based Syst. 261 (2023)
Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin
AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing. CoRR (2023)
Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong
Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis. CVPR (2023)
Gaozhe Li, Si Wu
Scene-Adaptive Instance Modification for Semisupervised Pedestrian Detection. IEEE Multim. 29 (4) (2022)
Zhiri Tang, Qianfen Jiao, Jian Zhong, Si Wu, Hau-San Wong
Source-Free Unsupervised Cross-Domain Pedestrian Detection via Pseudo Label Mining and Screening. ICME (2022)
Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong
SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR (2022)
Xiaoyang Huo, Guangchang Deng, Si Wu, Zhiwen Yu, Peng Li
Semi-Supervised Generative Learning with Extended Distribution Matching for Class-Conditional Image Synthesis. ICME (2022)
Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
αβ-GAN: Robust generative adversarial networks. Inf. Sci. 593 (2022)
Zhen Xu, Si Wu, Qianfen Jiao, Hau-San Wong
TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer. Knowl. Based Syst. 257 (2022)
Wenhao Wu, Qianfen Jiao, Hau-San Wong, Gaozhe Li, Si Wu
Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios. Knowl. Based Syst. 243 (2022)
Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
Semisupervised Multiple Choice Learning for Ensemble Classification. IEEE Trans. Cybern. 52 (5) (2022)
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Wenhao Wu, Si Wu, Hau-San Wong
Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. ACCV (2) (2022)
Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong
Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. 24 (2022)
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
The residual generator: An improved divergence minimization framework for GAN. Pattern Recognit. 121 (2022)
Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong
Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Trans. Multim. 24 (2022)
Guanyue Li, Xiwen Wei, Si Wu, Zhiwen Yu, Sheng Qian, Hau-San Wong
Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning. IEEE Multim. 29 (3) (2022)
Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong
Attention regularized semi-supervised learning with class-ambiguous data for image classification. Pattern Recognit. 129 (2022)
Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
Perturbation-insensitive cross-domain image enhancement for low-quality face verification. Inf. Sci. 608 (2022)
Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong
Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. ICME (2021)
Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong
Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia (2021)
Shixin Huang, Xiangping Zeng, Si Wu, Zhiwen Yu, Mohamed Azzam, Hau-San Wong
Behavior regularized prototypical networks for semi-supervised few-shot image classification. Pattern Recognit. 112 (2021)
Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV (2021)
Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. CVPR (2021)
Guanyue Li, Xiwen Wei, Sheng Qian, Si Wu, Zhiwen Yu, Hau-San Wong
Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders. ICME (2021)
Mohamed Azzam, Wenhao Wu, Wen-ming Cao, Si Wu, Hau-San Wong
KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning. IEEE Trans. Multim. 23 (2021)
Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong
DDAT: Dual domain adaptive translation for low-resolution face verification in the wild. Pattern Recognit. 120 (2021)
Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. AAAI (2021)
Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. IEEE Trans. Image Process. 30 (2021)
Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. IJCNN (2021)
Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong
Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognit. 105 (2020)
Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong
Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. 50 (1) (2020)
Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
Model Adaptation: Unsupervised Domain Adaptation Without Source Data. CVPR (2020)
Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration. IEEE Trans. Image Process. 29 (2020)
Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu
Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. ICPR (2020)
Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. CVPR (2020)
Rui Li, Wenming Cao, Si Wu, Hau-San Wong
Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 29 (2020)
Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong
Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification. IEEE Trans. Image Process. 29 (2020)
Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
Joint subspace and discriminative learning for self-paced domain adaptation. Knowl. Based Syst. 205 (2020)
Xuexian Chen, Si Wu, Zhiwen Yu
Self-Enhanced R-CNNs for Human Detection With Semi-Supervised Assumptions. IEEE Access 8 (2020)
Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, Hau-San Wong
Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. IJCAI (2019)
Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong
Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. AAAI (2019)
Zhiwen Yu, Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, Jun Zhang
Multiobjective Semisupervised Classifier Ensemble. IEEE Trans. Cybern. 49 (6) (2019)
Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. ICCV (2019)
Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong
Encoding sparse and competitive structures among tasks in multi-task learning. Pattern Recognit. 88 (2019)
Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. CVPR (2019)
Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. CVPR (2019)
Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong
Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognit. 86 (2019)
Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong
Efficient Direct Structured Subspace Clustering. ICONIP (4) (2018)
Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong
Adaptive activation functions in convolutional neural networks. Neurocomputing 272 (2018)
Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
Self-supervised GAN for Image Generation by Correlating Image Channels. PCM (2) (2018)
Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu
Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. IEEE Trans. Multim. 20 (4) (2018)
Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
Coupled Learning for Image Generation and Latent Representation Inference Using MMD. PCM (2) (2018)
Farrikh Alzami, Juan Tang, Zhiwen Yu, Si Wu, C. L. Philip Chen, Jane You, Jun Zhang
Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification. IEEE Access 6 (2018)
Si Wu, Hau-San Wong, Shufeng Wang
Variant SemiBoost for Improving Human Detection in Application Scenes. IEEE Trans. Circuits Syst. Video Technol. 28 (7) (2018)
Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu
Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR (2018)
Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu
Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. 27 (3) (2018)
Shiyao Lei, Qiujia Ji, Shufeng Wang, Si Wu
Adapting Generic Detector for Semi-Supervised Pedestrian Detection. PCM (1) (2017)
Zhiwen Yu, Peinan Luo, Si Wu, Guoqiang Han, Jane You, Hareton Leung, Hau-San Wong, Jun Zhang
Incremental semi-supervised clustering ensemble for high dimensional data clustering. ICDE (2016)
Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han
Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering. IEEE Trans. Knowl. Data Eng. 28 (3) (2016)
Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han
Progressive subspace ensemble learning. Pattern Recognit. 60 (2016)
Si Wu, Robert Laganière, Pierre Payeur
Improving pedestrian detection with selective gradient self-similarity feature. Pattern Recognit. 48 (8) (2015)
Si Wu, Hau-San Wong, Zhiwen Yu
A Bayesian Model for Crowd Escape Behavior Detection. IEEE Trans. Circuits Syst. Video Technol. 24 (1) (2014)
Si Wu, Feng Shi, Mathieu Jobin, Emilienne Pugin, Robert Laganière, Emil M. Petriu
Event Detection using Local Part Model and Random Sampling Strategy for Visual Surveillance. TRECVID (2013)
Si Wu, Hau-San Wong
Joint segmentation of collectively moving objects using a bag-of-words model and level set evolution. Pattern Recognit. 45 (9) (2012)
Xiang Li, Hau-San Wong, Si Wu
A fuzzy minimax clustering model and its applications. Inf. Sci. 186 (1) (2012)
Si Wu, Hau-San Wong
Crowd Motion Partitioning in a Scattered Motion Field. IEEE Trans. Syst. Man Cybern. Part B 42 (5) (2012)
Si Wu, Zhiwen Yu, Hau-San Wong
A Shape Derivative Based Approach for Crowd Flow Segmentation. ACCV (1) (2009)
Si Wu, Zhiwen Yu, Hau-San Wong
Crowd Flow Segmentation Using a Novel Region Growing Scheme. PCM (2009)