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ORCIDSi Wu 0002
Person information
- affiliation: South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- affiliation (PhD 2013): University of Hong Kong, Kowloon, Hong Kong
Other persons with the same name
- Si Wu — disambiguation page
- Si Wu 0001
![[0000-0001-9650-6935]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9650-6935")
— Peking University, IDG/McGovern Institute for Brain Research, Beijing, China (and 5 more) - Si Wu 0003 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
- Si Wu 0004 — Nanyang Technological University , Laboratories for Information Technology, Singapore (and 1 more)
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2020 – today
- 2025
[j55]Qianfen Jiao, Zhen Xu, Si Wu, Hau-San Wong:
DA-GAN: Dual-attention generative adversarial networks for real-world exquisite makeup transfer. Pattern Recognit. 158: 111049 (2025)- 2024
- [j54]Tianyi Chen, Xindian Wei, Lianxin Xie, Yunfei Zhang, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong:
SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction. Briefings Bioinform. 25(6) (2024) - [j53]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: 111478 (2024) - [j52]Xiaoyang Huo, Yunfei Zhang, Si Wu:
Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms. Pattern Recognit. 146: 110022 (2024) - [j51]Hang Gao, Wenjun Shen, Rui Li, Cheng Liu, Si Wu:
Collaborative Structure-Preserved Missing Data Imputation for Single-Cell RNA-Seq Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1480-1491 (2024) - [j50]Wenhao Wu, Hau-San Wong, Si Wu:
Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j49]Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong:
Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(12): 8655-8669 (2024) - [j48]Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong:
A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing. IEEE Trans. Multim. 26: 436-446 (2024) - [j47]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): 10803-10816 (2024) - [c43]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: 5903-5911 - [c42]Lianxin Xie, Csbingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong:
Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. CVPR 2024: 9120-9129 - [c41]Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong:
VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. CVPR 2024: 9141-9150 - [c40]Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong:
Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. CVPR 2024: 9172-9181 - [c39]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. CVPR 2024: 10596-10605 - [c38]Wenhao Wu, Hau-San Wong, Si Wu, Tianyou Zhang:
Relational Matching for Weakly Semi-Supervised Oriented Object Detection. CVPR 2024: 27800-27810 - [c37]Zhenping Li, Si Wu, Xindian Wei, Qianfen Jiao, Cheng Liu, Rui Li:
Reference-conditional Makeup-aware Discrimination for Face Image Beautification. ICME 2024: 1-6 - [c36]Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong:
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. IJCAI 2024: 5954-5962 - [c35]Le Jiang, Yan Huang, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu, Hau-San Wong:
Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. ACM Multimedia 2024: 5102-5111 - [c34]Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong:
Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering. ACM Multimedia 2024: 5240-5249 - 2023
- [j46]Xiwen Wei, Yihan Tang, Si Wu:
Content-Aware Latent Semantic Direction Fusion for Multi-Attribute Editing. IEEE Multim. 30(3): 87-99 (2023) - [j45]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: 119704 (2023) - [j44]Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong:
Discriminator feature-based progressive GAN inversion. Knowl. Based Syst. 261: 110186 (2023) - [j43]Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong:
Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification. Pattern Recognit. 133: 109032 (2023) - [j42]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): 307-317 (2023) - [j41]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): 9394-9406 (2023) - [c33]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: 5599-5608 - [c32]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: 7392-7401 - [c31]Wenhao Wu, Hau-San Wong, Si Wu:
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. CVPR 2023: 17471-17481 - [c30]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: 19285-19294 - [c29]Jian Zhong, Si Wu, Hau-San Wong:
Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. ICIP 2023: 405-409 - [i1]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 abs/2312.02209 (2023) - 2022
- [j40]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): 57-68 (2022) - [j39]Gaozhe Li, Si Wu:
Scene-Adaptive Instance Modification for Semisupervised Pedestrian Detection. IEEE Multim. 29(4): 69-79 (2022) - [j38]Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li:
αβ-GAN: Robust generative adversarial networks. Inf. Sci. 593: 177-200 (2022) - [j37]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: 1183-1201 (2022) - [j36]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: 108439 (2022) - [j35]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: 109958 (2022) - [j34]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: 108222 (2022) - [j33]Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong:
Attention regularized semi-supervised learning with class-ambiguous data for image classification. Pattern Recognit. 129: 108727 (2022) - [j32]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): 1193-1202 (2022) - [j31]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): 3658-3668 (2022) - [j30]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: 728-739 (2022) - [j29]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: 2975-2985 (2022) - [j28]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): 654-666 (2022) - [c28]Wenhao Wu, Si Wu, Hau-San Wong:
Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. ACCV (2) 2022: 187-203 - [c27]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: 9991-10000 - [c26]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: 1-6 - [c25]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: 1-6 - 2021
- [j27]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: 107765 (2021) - [j26]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: 108107 (2021) - [j25]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: 5807-5818 (2021) - [j24]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: 3318-3331 (2021) - [c24]Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong:
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. AAAI 2021: 8366-8374 - [c23]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: 5506-5515 - [c22]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: 9244-9253 - [c21]Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong:
Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. ICME 2021: 1-6 - [c20]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: 1-6 - [c19]Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong:
Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. IJCNN 2021: 1-7 - [c18]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: 1562-1570 - 2020
- [j23]Xuexian Chen, Si Wu, Zhiwen Yu:
Self-Enhanced R-CNNs for Human Detection With Semi-Supervised Assumptions. IEEE Access 8: 15132-15143 (2020) - [j22]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: 106285 (2020) - [j21]Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong:
Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognit. 105: 107343 (2020) - [j20]Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong:
Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. 50(1): 74-86 (2020) - [j19]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: 538-550 (2020) - [j18]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: 1562-1574 (2020) - [j17]Rui Li, Wenming Cao, Si Wu, Hau-San Wong:
Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 29: 7997-8011 (2020) - [c17]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: 5719-5728 - [c16]Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu:
Model Adaptation: Unsupervised Domain Adaptation Without Source Data. CVPR 2020: 9638-9647 - [c15]Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu:
Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. ICPR 2020: 2375-2381
2010 – 2019
- 2019
- [j16]Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong:
Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognit. 86: 248-264 (2019) - [j15]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: 689-701 (2019) - [j14]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): 2280-2293 (2019) - [j13]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): 355-368 (2019) - [c14]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: 5450-5457 - [c13]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: 6500-6509 - [c12]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: 10091-10100 - [c11]Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong:
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. ICCV 2019: 5056-5065 - [c10]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: 3268-3274 - 2018
- [j12]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: 29132-29145 (2018) - [j11]Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong:
Adaptive activation functions in convolutional neural networks. Neurocomputing 272: 204-212 (2018) - [j10]Si Wu, Hau-San Wong, Shufeng Wang:
Variant SemiBoost for Improving Human Detection in Application Scenes. IEEE Trans. Circuits Syst. Video Technol. 28(7): 1595-1608 (2018) - [j9]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): 1418-1432 (2018) - [j8]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): 851-865 (2018) - [c9]Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong:
Efficient Direct Structured Subspace Clustering. ICONIP (4) 2018: 181-190 - [c8]Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu:
Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR 2018: 37-42 - [c7]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: 78-88 - [c6]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: 430-440 - 2017
- [c5]Shiyao Lei, Qiujia Ji, Shufeng Wang, Si Wu:
Adapting Generic Detector for Semi-Supervised Pedestrian Detection. PCM (1) 2017: 293-302 - 2016
- [j7]Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han:
Progressive subspace ensemble learning. Pattern Recognit. 60: 692-705 (2016) - [j6]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): 701-714 (2016) - [c4]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: 1484-1485 - 2015
- [j5]Si Wu, Robert Laganière, Pierre Payeur:
Improving pedestrian detection with selective gradient self-similarity feature. Pattern Recognit. 48(8): 2364-2376 (2015) - 2014
- [j4]Si Wu, Hau-San Wong, Zhiwen Yu:
A Bayesian Model for Crowd Escape Behavior Detection. IEEE Trans. Circuits Syst. Video Technol. 24(1): 85-98 (2014) - 2013
- [c3]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 - 2012
- [j3]Xiang Li, Hau-San Wong, Si Wu:
A fuzzy minimax clustering model and its applications. Inf. Sci. 186(1): 114-125 (2012) - [j2]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): 3389-3401 (2012) - [j1]Si Wu, Hau-San Wong:
Crowd Motion Partitioning in a Scattered Motion Field. IEEE Trans. Syst. Man Cybern. Part B 42(5): 1443-1454 (2012)
2000 – 2009
- 2009
- [c2]Si Wu, Zhiwen Yu, Hau-San Wong:
A Shape Derivative Based Approach for Crowd Flow Segmentation. ACCV (1) 2009: 93-102 - [c1]Si Wu, Zhiwen Yu, Hau-San Wong:
Crowd Flow Segmentation Using a Novel Region Growing Scheme. PCM 2009: 898-907
Coauthor Index
[j55] [j54] [j53] [j50] [j49] [j48] [j47] [c43] [c42] [c41] [c40] [c38] [c36] [c35] [c34] [j45] [j44] [j43] [j42] [j41] [c33] [c32] [c31] [c30] [c29] [j40] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [c28] [c27] [c25] [j27] [j26] [j25] [j24] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [j22] [j21] [j20] [j19] [j18] [j17] [c17] [c16] [c15] [j16] [j15] [j14] [j13] [c14] [c13] [c12] [c11] [c10] [j11] [j10] [j9] [j8] [c9] [c8] [c7] [c6] [j7] [j6] [c4] [j4] [j3] [j2] [j1] [c2] [c1]
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