default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.dagstuhl.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)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j53]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
- [j52]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) - [j51]Xiaoyang Huo, Yunfei Zhang, Si Wu:
Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms. Pattern Recognit. 146: 110022 (2024) - [j50]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) - [j49]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) - [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
[j53] [j52] [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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
