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My E-mail Address: |
Vacancies: We have several vancant positions at the level of Associate/Assistant professorship at the Center for PAMI, XMU. We also recruit Postdocs and international PhD students to join in our group. For those who are interested in our research, please send your CV to Wang.Hanzi@gmail.com.
About Me (Chinese Version):
Hanzi Wang is currently a Distinguished Professor of "Minjiang Scholars" in Fujian province and a Founding Director of the Center for Pattern Analysis and Machine Intelligence (CPAMI) at XMU. He is also the Deputy Director of the Fujian Key Laboratory of Sensing and Computing for Smart City in Fujian province. He was an Adjunct Professor (2010-2012) and a Senior Research Fellow (2008-2010) at the University of Adelaide, Australia; an Assistant Research Scientist (2007-2008) and a Postdoctoral Fellow (2006-2007) at the Johns Hopkins University; and a Research Fellow at Monash University, Australia (2004-2006). He received his Ph.D degree in Computer Vision from Monash University where he was awarded the Douglas Lampard Electrical Engineering Research Prize and Medal for the best PhD thesis. His students have been awarded three best PhD theses in Fujian Province and won one best PhD thesis award in the China Society of Image and Graphics. His research interests are concentrated on computer vision and pattern recognition including visual tracking, object detection, action recognition, video segmentation, robust statistics, model fitting, classification and clustering, 3D structure from motion, image analysis and related fields. He has published more than 100 papers in top-level journals (such as IEEE TPAMI(7), IJCV(7), IEEE TIP, IEEE TCYB, IEEE TCSVT, IEEE TMM, etc.) and conferences (such as ICCV, CVPR, ECCV, AAAI, ACM MM, etc.)
He is a senior member of the IEEE. He was an Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (from 2010-2015) and he was a Guest Editor of Pattern Recognition Letters (September 2009). He is the General Chair for IEEE Conference of Future Media Technology 2018 and ACM ICIMCS2014, Program Chair for CVRS2012, Area Chair for PRCV2020, PRCV2019, ICPR2018, ACCV2016 and DICTA2010, Tutorial Chair for VALSE2017, Publicity Chair for ICIG2015 and IEEE NAS2012. He has also served on the program committee (Video Demos:
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Research Interests:
Our group includes a Professor (Dr. Yan Yan) and an Assistant Professor (Dr. Yang Lu) , 1 research assistant, 1 postdoctor, 6 PhD students and more than 30 Master students. We welcome excellent young researchers and postdoctors, PhD and master students, who are interested in Computer Vision and Pattern Recognition, to join in our group at XMU.
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Q. Qi, Z. Qiu, Y. Yan, Y. Lu, H. Wang
IMC-Det: Intra-Inter Modality Contrastive Learning for Video Object Detection.
International Journal of Computer Vision (IJCV), 2024 (accepted).
(pdf)
● S. Lin, F. Huang, T. Lai, J. Lai, H. Wang, J. Weng.
Robust Heterogeneous Model Fitting for Multi-source Image Correspondences.
International Journal of Computer Vision (IJCV), pages 1-26, 2024 (accepted).
● Y. Yan, Y. Shu, S. Chen, J. Xue, C. Shen, H. Wang
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data
International Journal of Computer Vision (IJCV), Vol 131, No. 8, pages 2097-2121, 2023.
● D. Ruan, R. Mo, Y. Yan, S. Chen, J. Xue, H. Wang
Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition
International Journal of Computer Vision (IJCV), Vol 130, No. 2, pages 455-477, 2022.
● G. Xiao, H. Wang, J. Ma, D. Suter.
Segmentation by Continuous Latent Semantic Analysis for Multi-structure Model Fitting.
International Journal of Computer Vision (IJCV), Vol 129, No. 7, pages 2034-2056, 2021.
● H. Wang, G. Xiao, Y. Yan, and D. Suter
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol 41, No. 3, pages 697-711, 2019.
(pdf) (Early version appeared in ICCV'15)
● G. Xiao, H. Wang, Y. Yan, and D. Suter
Superpixel-guided Two-view Deterministic Geometric Model Fitting
International Journal of Computer Vision (IJCV), Vol 127, No. 4, pages 323-339, 2019.
(pdf) (Early version appeared in ECCV'16)
● X. Li, A. Dick, C. Shen, A. van den Hengel,and H. Wang
Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol 35, No. 64, pages 863 - 881, Apr. 2013.
● H. Wang, T.-J. Chin, and D. Suter
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 34, No. 6, pages 1177 - 1192, June 2012.
(pdf) (Partial data and ground truth are available: here)
● C. Shen, P. Wang, F. Shen and H. Wang
UBoost: Boosting with the Universum
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 34, No. 4, pages 825 - 832, June 2012.
● H. Wang, D. Mirota and G. Hager
A Generalized Kernel Consensus Based Robust Estimator.
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 32, No. 1, pages 178-184, 2010.
● K. Schindler, D. Suter and H. Wang
A Model-selection Framework for Multibody Structure-and-Motion of Image Sequences.
International Journal of Computer Vision (IJCV), Vol 79, No. 2, pages 159-177, 2008.
● H. Wang, D. Suter, K. Schindler and C. Shen
Adaptive Object Tracking Based on an Effective Appearance Filter.
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol 29, No. 9, pages 1661-1667, 2007.
[Featured article from the September issue 2007]
(pdf) (Early version appeared in ECCV'06)
● H. Wang and D. Suter
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision.
IEEE Transactions Pattern Analysis and Machine Intelligence (PAMI), Vol. 26, No.11, pages 1459-1474, 2004.
● H. Wang and D. Suter
MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation.
International Journal of Computer Vision (IJCV), Vol. 59, No.2, pages 139-166, 2004.
Academic Journal Papers:
S Lin, A Yang, T Lai, J Weng, H Wang
Multi-Motion Segmentation via Co-Attention-Induced Heterogeneous Model Fitting
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 34, No 3, Pages 1786-1798, 2024.
X Fan, Y Zhang, Y Lu, H Wang
PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 34, No 1, Pages 411-423, 2024.
S Lin, X Chen, G Xiao, H Wang, F Huang, J Weng
Multi-Stage Network With Geometric Semantic Attention for Two-View Correspondence Learning
IEEE Transactions on Image Processing (IEEE TIP), Vol 33, Pages 3031-3046, 2024.
W Lu, H Hu, J Yu, S Zhang, H Wang
Explicit State Representation Guided Video-based Pedestrian Attribute Recognition
ACM Transactions on Intelligent Systems and Technology (ACM TIST), Vol 15, No 1, 2024.
W Lu, H Hu, J Yu, Y Zhou, H Wang, B Li
Orientation-Aware Pedestrian Attribute Recognition Based on Graph Convolution Network
IEEE Transactions on Multimedia (IEEE TMM), Vol 26, Pages 28-40, 2024.
Y Lv, Y Yan, J Xue, S Chen, H Wang
Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition
IEEE Transactions on Image Processing (IEEE TIP), Vol 33, Pages 2293-2304, 2024.
Q Qi, Y Yan, H Wang
Class-Aware Dual-Supervised Aggregation Network for Video Object Detection
IEEE Transactions on Multimedia (IEEE TMM), Vol 26, Pages 2109-2123, 2024.
X Wang, Y Yan, H Hu, B Li, H Wang
Cross-Modal Contrastive Learning Network for Few-Shot Action Recognition
IEEE Transactions on Image Processing (IEEE TIP), Vol 33, Pages 1257-1271, 2024.
F Yang, R Jiang, Y Yan, J Xue, B Wang, H Wang
Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection
IEEE Transactions on Information Forensics and Security (IEEE TIFS), Vol 19, Pages 3510-3524, 2024.
R Jiang, Y Yan, J Xue, B Wang, H Wang
When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), Vol 35, No 2, Pages 2208-2222, 2024.
R Jiang, Y Yan, J Xue, S Chen, N Wang, H Wang
Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.
X Wang, W Ye, Z Qi, G Wang, J Wu, Y Shan, X Qie, H Wang
Task-Aware Dual-Representation Network for Few-Shot Action Recognition
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 33, No 10, Pages 5932-5946, 2023.
Q Qi, T Hou, Y Yan, Y Lu, H Wang
TCNet: A Novel Triple-Cooperative Network for Video Object Detection
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 33, No 8, Pages 3649-3662, 2023.
Q Qi, T Hou, Y Lu, Y Yan, H Wang
DGRNet: A Dual-Level Graph Relation Network for Video Object Detection
IEEE Transactions on Image Processing (IEEE TIP), Vol 32, Pages 4128-4141, 2023.
Y Yan, Y Xu, J Xue, Y Lu, H Wang, W Zhu
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples
IEEE Transactions on Cybernetics (IEEE TCYB), Vol 53, No 11, Pages 7071-7084, 2023.
T Lai, A Sadri, S Lin, Z Li, R Chen, H Wang
Efficient Sampling Using Feature Matching and Variable Minimal Structure Size
Pattern Recognition (PR), Vol 137, No 3, 2023.
● H Guo, Y Lu, G Xiao, S Lin, H Wang
Triplet Relationship Guided Sampling Consensus for Robust Model Estimation
IEEE Signal Processing Letters (IEEE SP Letters), Vol 29, Pages 817-821, 2022.
● H Guo, Y Lu, H Chen, H Luo, G Xiao, H Zhang, H Wang
Motion Consistency Guided Robust Geometric Model Fitting with Severe Outliers
IEEE Transactions on Industrial Electronics (IEEE TIE), Vol 69, No 4, Pages 4065-4075, 2022.
● Q Qi, X Wang, T Hou, Y Yan, H Wang
FastVOD-Net: A Real-Time and High-Accuracy Video Object Detector
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 23, No 11, Pages 20926-20942, 2022
● Y Liang, Q Wu, Y Liu, Y Yan, H Wang
Deep Correlation Filter Tracking With Shepherded Instance-Aware Proposals
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 23, No 8, Pages 11408-11421, 2022
● S Lin, H Luo, Y Yan, G Xiao, H Wang
Co-Clustering on Bipartite Graphs for Robust Model Fitting
IEEE Transactions on Image Processing (IEEE TIP), Vol 31, Pages 6605-6620, 2022
● X Weng, Y Yan, G Dong, C Shu, B Wang, H Wang, J Zhang
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 23, No 10, Pages 17224-17240, 2022
● X Weng, Y Yan, S Chen, JH Xue, H Wang
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 32, No 7, Pages 4444-4459, 2022
● X Zhang, Y Yan, JH Xue, Y Hua, H Wang
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 31, No 7, Pages 2764-2778, 2021.
● Y Hu, X Gao, J Li, Y Huang, H Wang
Single Image Super-resolution with Multi-scale Information Cross-fusion Network
Signal Processing (SP), Vol 179, 2021, Article 107831
● C Wang, R Chen, Y Lu, Y Yan, H Wang
Recurrent Context Aggregation Network for Single Image Dehazing
IEEE Signal Processing Letters (IEEE SP Letters), Vol 28, Pages 419-423, 2021
● B Pan, L Zhang, H Wang
Multi-Stage Feature Pyramid Stereo Network-Based Disparity Estimation Approach for Two to Three-Dimensional Video Conversion
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 31, No 5, Pages 1862-1875, 2021
● S Lin, X Wang, G Xiao, Y Yan, H Wang
Hierarchical Representation Via Message Propagation for Robust Model Fitting
IEEE Transactions on Industrial Electronics (IEEE TIE), Vol 68, No 9, Pages 8582-8592, 2021.
● Y Liu, L Zhang, Z Chen, Y Yan, H Wang
Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 22, No 11, Pages 7279-7292, 2021.
● G Dong, Y Yan, C Shen, H Wang
Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), Vol 22, No 6, Pages 3258-3274, 2021.
● Y. Liang, Y. Liu，Y. Yan，L. Zhang and H. Wang
Robust Visual Tracking via Spatio-Temporal Adaptive and Channel Selective Correlation Filters.
Pattern Recognition (PR), Vol 112, No.9, pages 107738:1-107738:14, 2021.
● X. Zhang, Y. Yan, J. Xue, Y. and H. Wang
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification.
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 31, No. 7, pages 2764-2778, 2021.
● Q. Wu, H. Wang, Y. Liu, L. Zhang and X. Gao
SAT: Single-shot Adversarial Tracker.
IEEE Transactions on Industrial Electronics (IEEE TIE), Vol 67, No. 11, pages 9882-9892, 2020.
(pdf)
● Y. Yan, Y. Huang, S. Chen, C. Shen and H. Wang
Joint Deep Learning of Facial Expression Synthesis and Recognition.
IEEE Transactions on Multimedia (IEEE TMM), Vol 22, No. 11, pages 2792-2807, 2020.
(pdf)
● L. Mao, Y. Yan, Y. Huang, J. Xue and H. Wang
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification.
IEEE Transactions on Affective Computing (IEEE TAC), 2020.
(pdf)
● T. Lai, R. Chen, Q. Li, H. Fujita, A. Sadri and H. Wang
Efficient Robust Model Fitting for Multi-Structure Data Using Global Greedy Search.
IEEE Transactions on Cybernetics (IEEE T-Cyber), Vol.50, No.7, pages 3294-3306, 2020.
● Y. Yan, Z. Zhang, S. Chen and H. Wang
Low-resolution Facial Expression Recognition: A Filter Learning Perspective.
Signal Processing (SP), Vol.169, 2020.
● G. Guo, H. Wang, Y. Yan, L. Zhang and B. Li
Large Margin Deep Embedding for Aesthetic Image Classification.
Science China-Information Sciences, Vol.63, No.1, 2020.
(pdf)
● J. Zheng, Y. Wang, H. Wang, B. Li and H. Hu
A Novel Projective-Consistent Plane based Image Stitching Method.
IEEE Transactions on Multimedia (IEEE TMM), Vol. 21, No.10, pages 2561 - 2575, 2019.
● L. Zhang, Y. Yan, L. Cheng and H. Wang
Learning Object Scale with Click Supervision for Object Detection.
IEEE Signal Processing Letters (IEEE SPL), Vol.26, No.11, pages 1618 - 1622, 2019.
(pdf)
● G. Xiao, X. Zhou, Y. Yan and H. Wang
A Two-Step Hypergraph Reduction based Fitting Method for Unbalanced Data.
Pattern Recognition Letters (PRL), Vol.134, pages 106 - 115, 2020.
● H. Hu, Q. Guo, J. Zheng, H. Wang and B. Li
Single Image Defogging Based on Illumination Decomposition for Visual Maritime Surveillance.
IEEE Transactions on Image Processing (IEEE TIP), Vol.28, No.6, pages 2882 - 2897, 2019.
● T. Lai, H. Wang, Y. Yan, T.J. Chin, J. Zheng and B. Li
Accelerated Guided Sampling for Multi-Structure Model Fitting.
IEEE Transactions on Cybernetics (IEEE T-Cyber), Vol.50, No.10, pages 4530 - 4543, 2019.
(pdf)
● G. Xiao, H. Wang, Y. Yan and L. Zhang
Robust Geometric Model Fitting Based on Iterative Hypergraph Construction and Partition.
Neurocomputing (Elsevier), Vol.336, pages 56 - 66, 2019.
● N. Zhuang, Y. Yan, H. Wang and C. Shen
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification.
Pattern Recognition (PR), Vol. 80, pages 225-240, 2018.
● G. Guo, H. Wang, C. Shen, Y. Yan and H.M. Liao
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression.
IEEE Transactions on Multimedia (IEEE TMM), Vol. 20, No.8, pages 2073 - 2085, 2018.
(pdf)
● G. Guo, H. Wang ,W. Zhao, Y. Yan and X. Li
Object Discovery via Cohesion Measurement.
IEEE Transactions on Cybernetics (IEEE T-Cyber), Vol. 48, No.3, pages 862 - 875, 2018.
(pdf)
● Z. Zhang, F. Xing, H. Wang, Y. Yan, Y. Huang, X. Shi, L. Yang
Revisiting Graph Construction for Fast Image Segmentation.
Pattern Recognition (PR), Vol 78, pages 344 - 357, 2018.
● G. Xiao, X. Wang, H. Luo, J. Zheng, B. Li, Y. Yan and H. Wang
Conceptual space based model fitting for multi-structure data.
Neurocomputing (Elsevier), Vol 315, pages 115 - 127, 2018.
● Y. Huang, Y. Yan, S. Chen and H. Wang
Expression-Targeted Feature Learning for Effective Facial Expression Recognition.
Journal of Visual Communication and Image Representation (JVCI), Vol 55, pages 677 - 687, 2018.
(pdf)
● Q. Li, H. Wang, Y. Yan, B. Li and C. Chen
Local Co-occurrence Selection via Partial Least Squares for Pedestrian Detection.
IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Vol18, No. 6, pages 1549 - 1558, 2017.
(pdf)
● J. Wang, Y. Wang, H. Wang
Adaptive Appearance Modeling with Point-to-set Metric Learning for Visual Tracking.
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), Vol 27, No. 9, pages 1987 - 2000, 2017.
● T. Lai, H. Wang, Y. Yan, T. Chin and W. Zhao
Motion Segmentation via a Sparsity Constraint.
IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Vol 18, No. 4, pages 973 - 983, 2017.
(pdf)
● T. Lai, H. Wang, Y. Yan, G. Xiao and D. Suter
Efficient Guided Hypothesis Generation for Multi-structure Epipolar Geometry Estimation.
Computer Vision and Image Understanding (CVIU), Vol154, pages 152 -165, 2017.
(pdf)
● T. Lai, H. Wang, Y. Yan and L. Zhang
A Unified Hypothesis Generation Framework for Multi-structure Model Fitting.
Neurocomputing (Elsevier), Vol222, pages 144 - 154, 2017.
● W. Zhao, C. Ngo and H. Wang
Fast Covariant VLAD for Image Search.
IEEE Transactions on Multimedia (IEEE TMM), Vol 18, No. 9, pages 1843 - 1854, 2016.
(pdf)
● Y. Xie, W. Zhang, D. Tao, W. Hu, Y. Qu and H. Wang
Removing Turbulence Effect via Hybrid Total Variation and Deformation-guided Kernel Regression.
IEEE Transactions on Image Processing (TIP), Vol 25, No. 10, pages 4943 - 4958, 2016.
● G. Xiao, H. Wang, T. Lai and D. Suter
Hypergraph Modelling for Geometric Model Fitting.
Pattern Recognition (PR),Vol 60, pages 748 - 760, 2016.
(pdf)
● Y. Yan, H. Wang, S. Chen, X. Cao and D. Zhang
Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition.
Pattern Recognition (PR), Vol 56, pages 40 - 49, 2016.
(pdf)
● Q. Li, Y. Yan and H. Wang
Discriminative Weighted Sparse Partial Least Squares for Human Detection.
IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS), Vol 17, No. 4, pages 1062 - 1071, 2016.
(pdf)
● Z. Chen, H. Wang, L. Zhang, Y. Yan and H-Y M. Liao
Visual Saliency Detection Based on Homology Similarity and An Experimental Evaluation.
Journal of Visual Communication and Image Representation (JVCI), Vol40, pages 251 - 264, 2016.
(pdf)
● G. Xiao, H. Wang, Y. Yan and L. Zhang
Mode Seeking on Graphs for Geometric Model Fitting via Preference Analysis.
Pattern Recognition Letters (PRL), Vol 83, pages 294 - 302, 2016.
● T. Lai, H. Wang, Y. Yan, D. Wang and G. Xiao
Rapid Hypothesis Generation by Combining Residual Sorting with Local Constraints.
Multimedia Tools and Applications (MTA), Vol 75, No. 12, pages 7445 - 7464, 2016.
● J. Tang, H. Wang, and Y. Yan
Learning Hough Regression Models via Bridge Partial Least Squares for Object Detection.
Neurocomputing (Elsevier), Vol 152, pages 236 - 249, 2015.
(pdf)
● J. Wang, H. Wang and W. Zhao
Affine Hull Based Target Representation for Visual Tracking.
Journal of Visual Communication and Image Representation (JVCI), Vol 30, pages 266 - 276, 2015.
(pdf)
● J. Wang, H. Wang, and Y. Yan
Robust Visual Tracking by Metric Learning with Weighted Histogram Representations.
Neurocomputing (Elsevier), Vol153, pages 77-88, 2015.
● Y. Yan, C. Shen and H. Wang
Efficient Semidefinite Spectral Clustering via Lagrange Duality.
IEEE Transactions on Image Processing (TIP), Vol 23, No. 8, pages 3522 - 3534, 2014.
(pdf)
● Y. Yan, H. Wang and D. Suter
Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition.
Pattern Recognition (PR), Vol 47, pages 3487 - 3501, 2014.
(pdf)
● Y. Qu, S. Wu, H. Liu, Y. Xie and H. Wang
Evaluation of local features and classifiers in BOW Model for Image Classification.
Multimedia Tools and Applications, Vol 70, No. 2, pages 605 - 624, 2014.
● X. Li, A. Dick, C. Shen, Z. Zhang, A. van den Hengel and H. Wang
Visual tracking with spatio-temporal Dempster-Shafer information fusion.
IEEE Transactions on Image Processing (TIP), Vol 22, No. 8, pages 3028 - 3040, Aug. 2013.
● Y. Yan, H. Wang, C. Li, C.Yang, and B. Zhong
An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition
Neurocomputing (Elsevier), Vol 119, pages 201– 211, Nov. 2013.
● Y. Qu, H. Liu, X. Yang, S. Fang and H. Wang
Weakly-supervised Object Localization in Unlabeled Image Collection.
Multimedia Systems, Vol 19, No. 1, pages 51-63, Feb. 2013.
● B. Zhong, Y. Chen, Y. Chen, R. Ji, Y. Chen, D. Chen and H. Wang
Background Subtraction Driven Seeds Selection for Moving Objects Segmentation and Matting
Neurocomputing (Elsevier), Vol 103, pages 132- 142, Mar. 2013.
● D.J.Mirota, H. Wang, R.H. Taylor, M. Ishii, G.L.Gallia, and G.D.Hager
A System for Video-based Navigation for Endoscopic Endonasal Skull Base Surgery
IEEE Trans. on Medical Imaging (TMI), Vol31, No. 4, pages 963 - 976, June 2012.
(pdf)
● T.-J. Chin, D. Suter and H. Wang
Boosting Histograms of Descriptor Distances for Scalable Multiclass Specific Scene Recognition.
Image and Vision Computing (IVC), Vol 29, No. 4, pages 241-250, Mar. 2011.
● X. Li, W. Hu, H. Wang, and Z. Zhang
Linear Discriminant Analysis Using Rotational Invariant L1 Norm.
Neurocomputing (Elsevier), Vol.73, No.13-15, pages 2571-2579, 2010.
● X. Li, W. Hu, H. Wang, and Z. Zhang
Robust Object Tracking Using a Spatial Pyramid Heat Kernel Structural Information Representation.
Neurocomputing (Elsevier), Vol. 73, No. 16-18, pages 3179-3190, 2010.
● C. Shen, J. Kim and H. Wang
Generalized Kernel-based Visual Tracking.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol 20, No. 1, pages 119-130, 2010.
● X. Li, W. Hu, Z. Zhang and H. Wang
Heat Kernel Based Local Binary Pattern for Face Representation and Classification.
IEEE Signal Processing Letters (SPL), Vol 17, No. 3, pages 308-311, 2010.
● H. Wang, D. Mirota, M.Ishii and G. Hager.
Anatomical Reconstruction from Endoscopic Images: Progress and Prognosis of Quantitative Endoscopy.
American Journal of Rhinology (AJR), Vol 22, No. 1, pages 47-51, January-February 2008.
● H. Wang and D. Suter
A Consensus-Based Method for Tracking: Modelling Background Scenario and Foreground Appearance.
Pattern Recognition (PR),
Vol. 40, No.3, pages 1091-1105,2007.
● H. Wang and D. Suter
Using Symmetry in Robust Model Fitting.
Pattern Recognition Letters (PRL), Vol. 24, No.16, pages 2953-2966, 2003.
Partial Conference/Workshop Papers:
Y Lu, L Chen, YG Zhang, YL Zhang, B Han, YM Cheung, H Wang
Federated Learning with Extremely Noisy Clients via Negative Distillation
The AAAI Conference on Artificial Intelligence (AAAI), Vol 38, Pages 14184-14192, Vancouver, Canada, February 20-27, 2024
ZQ Zhang, Y Yan, JH Xue, H Wang
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion
The AAAI Conference on Artificial Intelligence (AAAI), Vol 38, Pages 7432-7440, Vancouver, Canada, February 20-27, 2024
Y Lu, YL Zhang, B Han, YM Cheung, H Wang
Label-Noise Learning with Intrinsically Long-Tailed Data
IEEE International Conference on Computer Vision (ICCV), Pages 1369-1378, Paris, France, October 1-6, 2023
YK Zhang, Y Yan, J Li, H Wang
MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification
The AAAI Conference on Artificial Intelligence (AAAI), Vol 37, Pages 3498-3506, Washington, DC, USA, February 7-14, 2023
X Zou, Y Yan, JH Xue, S Chen, H Wang
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
European Conference on Computer Vision (ECCV), Pages 683-700, Tel-Aviv, Israel, October 23-27, 2022
X Shang, Y Lu, G Huang, H Wang
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
International Joint Conference on Artificial Intelligence (IJCAI), Pages 2218-2224, Vienna Austria, July 23-29, 2022
X Zou, Y Yan, JH Xue, S Chen, H Wang
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
The Association for the Advancement of Artificial Intelligence (AAAI), Vol 36, Pages 5367-5375, Virtual Venue, Feb 22 – Mar 1, 2022
● Rongyun Mo, Yan Yan, Jing-Hao Xue, Si Chen, and Hanzi Wang
D3Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition.
The ACM International Conference on Multimedia (ACM MM), Chengdu, China, Oct.20-24, 2021. (27.9% acceptance rate)
● Xiao Wang, Weirong Ye, Zhongang Qi, Xun Zhao, Guangge Wang, Ying Shan and Hanzi Wang
Semantic-Guided Relation Propagation Network for Few-shot Action Recognition.
The ACM International Conference on Multimedia (ACM MM), Chengdu, China, Oct.20-24, 2021. (27.9% acceptance rate)
● Yukang Zhang, Yan Yan, Yang Lu and Hanzi Wang.
Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification.
The ACM International Conference on Multimedia (ACM MM), Chengdu, China, Oct. 20-24, 2021. (27.9% acceptance rate)
● Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen and Hanzi Wang.
Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages7660--7669, June, 2021.(27% acceptance rate)
● Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen and Hanzi Wang.
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages11916-11925, June, 2021. (27% acceptance rate)
● Delian Ruan, Yan Yan, Si Chen, Jing-Hao Xue and Hanzi Wang.
Deep disturbance-disentangled learning for facial expression recognition.
The ACM International Conference on Multimedia (ACM MM), Seattle, United States, Oct. 12-16, 2020. (27.95% acceptance rate)
● Lijian Lin, Haosheng Chen, Honglun Zhang, Jun Liang, Yu Li, Ying Shan, and Hanzi Wang.
Dual Semantic Fusion Network for Video Object Detection.
The ACM International Conference on Multimedia (ACM MM), Seattle, United States, Oct. 12-16, 2020. (27.95% acceptance rate)
● Haosheng Chen, David Suter, Qiangqiang Wu and Hanzi Wang
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking.
The AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb.7-12, 2020. (20.6% acceptance rate)
● Haosheng Chen, Qiangqiang Wu, Yanjie Liang, Xinbo Gao and Hanzi Wang
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking.
The ACM Multimedia Conference (ACM MM), Nice, France, Oct.21-25, 2019. (26.5% acceptance rate)
● Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter and Hanzi Wang
Hypergraph Optimization for Multi-structural Geometric Model Fitting.
The AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, Jan. 27-Feb.1, 2019. (16% acceptance rate)
(pdf)
● Yanjie Liang, Qiangqiang Wu, Yi Liu, Yan Yan and Hanzi Wang
Robust Correlation Filter Tracking with Shepherded Instance-Aware Proposals.
The ACM Multimedia Conference (ACM MM), Seoul, Korea, Oct.22-26, 2018. (Oral presentation, acceptance rate: 8.5%)
(pdf)
● Qiangqiang Wu, Yan Yan, Yanjie Liang, Yi Liu and Hanzi Wang
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking.
Asian Conference on Computer Vision (ACCV), Perth, Australia, Dec.2-6, 2018.
(pdf)
● Hailing Luo, Guobao Xiao and Hanzi Wang
Simple Iterative Clustering on Graphs for Robust Model Fitting.
IEEE International Conference on Visual Communications and Image Processing (VCIP), Taiwan, Dec.9-12,2018.
● Chunguang Qie, Guanjun Guo, Yan Yan, Liming Zhang and Hanzi Wang
Improved Correlation Filter Tracking with Hard Negative Mining.
International Conference on Pattern Recognition (ICPR), Beijing, China, Aug. 20-24, 2018.
● Ni Zhuang, Yan Yan, Si Chen and Hanzi Wang
Multi-Task Learning of Cascaded CNN for Facial Attribute Classification.
International Conference on Pattern Recognition (ICPR), Beijing, China, Aug. 20-24, 2018.
● Yihan Du, Yan Yan, Si Chen, Yang Hua and Hanzi Wang
Object-Adaptive LSTM Network for Visual Tracking.
International Conference on Pattern Recognition (ICPR), Beijing, China, Aug. 20-24, 2018.
● Xiong Zhou, Hanzi Wang, Guobao Xiao, Xing Wang, Yan Yan and Liming Zhang
Weighted Median-Shift on Graphs for Geometric Model Fitting.
IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017.
● Canping Su, Yan Yan, Si Chen and Hanzi Wang
An Efficient Deep Neural Networks Training Framework for Robust Face Recognition.
IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017.
● G. Xiao, H. Wang, Y. Yan and D. Suter
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data.
European Conference on Computer Vision (ECCV), Amsterdam, Netherlands，Oct.8-16, 2016
(pdf)
● X. Wang, G. Xiao, Y. Yan and H. Wang
Message Passing on the Two-layer Network for Geometric Model Fitting.
Asian Conference on Computer Vision (ACCV), Taibei, Nov.20-24, 2016.(Oral - about 5% acceptance rate)
(pdf)
● Y. Fang, Y. Yan, S. Chen, H. Wang and C. Shu
Sparse Similarity Metric Learning for Kinship Verification.
IEEE International Conference on Visual Communications and Image Processing (VCIP), Chengdu, China, Nov.23-30, 2016. (Top 10% award)
(pdf)
● H. Wang, G. Xiao, Y. Yan and D. Suter
Mode-seeking on Hypergraphs for Robust Geometric Model Fitting.
IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, Dec.13-16, 2015
(pdf)
● D. Zhang, D. Wang and H. Wang
Scene Text Recognition Using Sparse Coding Based Features.
IEEE International Conference on Image Processing (ICIP), Paris, France, Oct.27-30, 2014. (Top 10% award)
● H. Wang, J. Cai and J. Tang
AMSAC: An Adaptive Robust Estimator for Model Fitting.
IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sept.15-18, 2013. (Top 10% of accepted papers)
● Z. Zhang, Y. Yan and H. Wang
Discriminative Filter Based Regression Learning for Facial Expression Recognition.
IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, Sept.15-18, 2013.
● J. Cai and H. Wang
Adaptive Scale Based Entropy-like Estimator for Robust Fitting.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013. (Oral)
● T. Qin, B. Zhong and H. Wang
Online Structured Hough Forests for Visual Tracking.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013.
● C. Li, L. Le, G. Hager, J. Tang and H. Wang
Robust Object Tracking in Crowd Dynamic Scenes using Explicit Stereo Depth.
LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Daejeon, Korea, November 5-9, 2012. (about 26% acceptance rate)
● C. LV, Y. Yan, and H. Wang
Robust Visual Tracking with the Cross-bin Metric.
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. (Oral - about 15% acceptance rate)
● Y. Gu, Y. Qu, T. Fang, C. Li, and H. Wang
Image Super-Resolution Based on Multi kernel Regression.
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. (Oral - about 15% acceptance rate)
● J. Tang and H. Wang
Semantic Hough Transform Based Object Detection with Partial Least Squares.
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012.
● G. Liu, Y. Yan, and H. Wang
Accelerated Robust Sparse Coding for Fast Face Recognition.
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012.
● T. Qin, B. Zhong, T.-J. Chin, and H. Wang
Matting-Driven Online Learning of Hough Forests for Object Tracking.
International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012.
● Y. Yan, H. Wang, C. Li, C. Yang, and B. Zhong
A Novel Unconstrained Correlation Filter and Its Application in Face Recognition.
LECTURE NOTES IN COMPUTER SCIENCE, Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering (ISCIDE), Nanjing, China, Oct. 15-17, 2012.
● X. Li, A. Dick, H. Wang, C. Shen and A. Hengel
Graph Mode-based Contextual Kernels for Robust SVM Tracking.
IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011.
● T.-J. Chin, D. Suter, and H. Wang
Multi-StructureModel Selection via Kernel Optimisation.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, June 13-18,2010.(Acceptance rate: 26.8%)
● H.Wang, T.-J. Chin and D. Suter
Visual Localization and Segmentation Based on Foreground/Background Modeling.
IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), Dallas, Texas, USA, March 14-19, 2010.
● W. Li, B. Li, X.Zhang, W. Hu, H. Wang and G. Luo
Occlusion Handling with ℓ1-Regularized Sparse Reconstruction.
LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision(ACCV),2010.
● T.-J. Chin, H. Wang and D. Suter
The Ordered Residual Kernel for Robust Motion Subspace Clustering.
Advances of Neural Information Processing Systems (NeurIPS), Vancouver, B.C., Canada, pages 333-341, 2009. (Acceptance rate: 23.8%)
● T.-J. Chin, H. Wang and D.Suter
Robust Fitting of Multiple Structures: The Statistical Learning Approach.
IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, pages 413-420, 2009. (Acceptance rate:23.2%)
● D.Mirota, H.Wang, R. Taylor, M. Ishii and G.Hager
Towards Video-based Navigation for Endoscopic Endonasal Skull Base Surgery.
LECTURE NOTES IN COMPUTER SCIENCE, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), London, UK,Sept. 20-24, Volume 5761, pages 91-99,2009. (Oral presentation, acceptance rate: 5%)
● K. Yu, W. Hu, X. Zhang, H. Wang and Y. Jia
Learning Group Activity in Soccer Videos from Local Motion.
LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Xi'An, China, 2009. (Oral - 36 out of 670).
● C. Yuan, X. Li, W. Hu and H. Wang
Human Action Recognition Using Pyramid Vocabulary Tree.
LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Xi'An, China, 2009.
● O. Wu, H.Zuo, M. Zhu, W. Hu, J. Gao and H. Wang
Rank Aggregation Based Text Feature Selection.
IEEE/WIC/ACM International Conference on Web Intelligence (WI), Milan, Italy, pages 165-172, 2009. (Acceptance rate: 16%)
● H. Wang, D. Mirota, M. Ishii and G. Hager
Robust Motion Estimation and Structure Recoveryfrom Endoscopic Image Sequences With an Adaptive Scale Kernel Consensus Estimator.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Alaska, U.S.A., June 24-26, 2008.
● H. Wang
Maximum Kernel Density Estimator for Robust Fitting.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Las Vegas, U.S.A., pages 3385-3388, March 30-April 4, 2008. (Oral - 400 out of 2800).
● H. Wang, D. Suter and K. Schindler
Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking.
LECTURE NOTES IN COMPUTER SCIENCE, European Conference on Computer Vision (ECCV), Graz, Austria, Volume 3953, pages 606-618, May 7-13, 2006. (Oral - 40 out of 900)
● Konrad Schindler, James U, and H. Wang
Perspective n-view Multibody Structure-and-Motion through Model Selection.
LECTURE NOTES IN COMPUTER SCIENCE, European Conference on Computer Vision (ECCV), Graz, Austria, Volume 3951, pages 606-619, May 7-13, 2006. (Oral - 40 out of 900)
● H. Wang and D.Suter
Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues.
International Conference on PatternRecognition (ICPR), Hong Kong, China, Volume 4, pages 892-895, August 20-24, 2006.
● H. Wang and D. Suter
Background Subtraction Based on a Robust Consensus Method.
International Conference on Pattern Recognition (ICPR), Hong Kong, China, Volume 1, pages 223-226, August 20-24, 2006.
● H. Wang and D. Suter
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance.
LECTURE NOTES IN COMPUTER SCIENCE, Asian Conference on Computer Vision (ACCV), Hyderabad, India, Volume 3851, pages 328-337, January13-16, 2006.
● K. Schindler and H. Wang
Smooth Foreground-Background Segmentation for Video Processing.
LECTURE NOTES IN COMPUTERSCIENCE, Asian Conference on Computer Vision (ACCV), Hyderabad, India, Volume 3852, pages 581-590, January 13-16, 2006.
● H. Wang and D. Suter
Background Initialization with A New Robust Statistical Approach.
IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS'05) in conjunction with ICCV, Beijing, China, pages 153-159, Oct. 15-21, 2005.
● H. Wang and D. Suter
Tracking and Segmenting People with Occlusions by a Sample Consensus Based Method.
IEEE International Conference on Image Processing (ICIP), Genova, Italy, pages 410-413, Sept. 11-14, 2005.
● H. Wang and D. Suter
A Re-Evaluation of Mixture-of-Gaussian Background Modeling.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Pennsylvania, USA, pages 1017-1020, March 19-23, 2005.
● H. Wang and D. Suter
Robust Fitting by Adaptive-Scale Residual Consensus.
LECTURE NOTES IN COMPUTER SCIENCE, European Conference on Computer Vision (ECCV), Prague, Czech Republic, Volume 3023, pages 107-118, May 11-14, 2004.
● H. Wang and D.Suter
False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation.
7th International Conference on DigitalImage Computing: Techniques and Applications (DICTA'03),Sydney, pages 581-590, December 10-12, 2003.
● H. Wang and D. Suter
Color Image Segmentation Using Global Information and Local Homogeneity.
7th International Conference on Digital Image Computing: Techniques and Applications (DICTA'03),Sydney, pages 9-98, December 10-12, 2003.
● H. Wang and D.Suter
Variable Bandwidth QMDPE and Its Application in Robust Optic Flow Estimation.
9th IEEE International Conference on Computer Vision (ICCV), Nice, France, pages178-183, October 2003.
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