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Zhen
LEI Ph.D.
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雷 震
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Professor, IAPR Fellow
National
Laboratory of Pattern Recognition, CASIA
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PhD
Supervisor: Stan Z. Li
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Tel: +86-10-82544687
[google
scholar] [dblp]
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Email:
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zlei at nlpr.ia.ac.cn
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zhen.ray at gmail.com
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Work
Experience
·
2018~now, Professor,
National Laboratory of Pattern Recognition, Institute of Automation,
Chinese Academy of Sciences
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2013~2018, Associate Professor, National
Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy
of Sciences
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2011~2013, Assistant Professor, National Laboratory of
Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
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2010~2011, Staff Researcher, IBM Research-China, Analytics and
Optimization Dept.
Education
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2005~2010, Ph.D. in Center for Biometrics and Security
Research (CBSR) & National
Laboratory of Pattern Recognition (NLPR), Institute of Automation,
Chinese Academy of Sciences
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2001~2005,
B.S in Dept. of Automation, University of
Science and Technology of China
Research
Interests
AI Fundamental, Scene Perception/Understanding (Detection, Alignment,
Recognition, Reasoning), Biometrics, Pattern Recognition, Computer Vision
News
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欢迎报考研究生的同学联系我。常年招收博士后和实习生。
Always looking for Post-doctoral (in
Beijing/HongKong) or intern students working on AI fundamental, deep
learning based computer vision, including object/face detection and
recognition, video analysis and understanding. If you are interested,
please send me an email with your CV.
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2023.2, 5 papers accepted by CVPR2023. Congrats to all collaborators!
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2023.2.14, we won the Best Poster
Paper in CCBR2022. Congrats to Tianshuo!
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2022.12, 1
TPAMI and 1 TIFS are accepted. Congrats to Xiangyu and Zezheng!
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One paper
about a survey of deep learning for face anti-spoofing has been accepted
by TPAMI. Congrats to Zitong!
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2022.6, I
have been named as IAPR
Fellow 2022.
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Our
High-fidelity 3D Face Shape Recovery paper has been accepted by TPAMI. Congrats
to Xiangyu!
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3 Papers accepted by CVPR2022.
Congrats to all collaborators!
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1 Paper
has been accepted by AAAI2022. Congrats to Zongzhao!
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We won the 1st
Place of CAIP Guess the age contest
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2021.6
Recently, 1 TPAMI, 2 TIFS, 1 TKDE, 1 TCSVT are accepted.
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Four
papers accepted by ECCV2020!
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Five papers (3 orals) accepted by CVPR 2020. Congrats to all
collaborators!
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Three papers accepted by AAAI 2020.
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We won the 1st
place in Lightweight
Face Recognition Challenge on DeepGlint-Large track
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We won the 1st
place in UG2 Challenge on the
Dark Face Detection track
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Awarded the IAPR Young Biometrics Investigator Award (given to a single researcher worldwide every two years under the
age of 40, whose research work has had a major impact in biometrics)
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Competitions
·
2021 CAIP Guess the
age contest, 1st Place
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2019 ICCV Lightweight
Face Recognition Challenge on DeepGlint-Large track, Rank 1st
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2019 CVPR UG2
Challenge: (Semi-) Supervised Face Detection in Low Light
Conditions, Rank 1st
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2017 FG facial
micro-expression recognition competition, Rank 1st
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2013 ICCV 300-W
Challenge on facial landmark detection, Rank 1st
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2013 The 2nd
competition on counter measures to 2D facial spoofing attacks, Rank 1st
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2011 IJCB Competition
on counter measures to 2D facial spoofing attacks, Rank 1st
Publications
Book
Chapter
1.
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Zhen Lei,
Wang Tao, Xiangyu Zhu, Tianyu Fu, “Countermeasures to face photo spoofing
attacks by exploiting structure and texture information from rotated face
sequences”, Mobile Biometrics, Guodong Guo; Harry Wechsler (Eds.). IET
Digital Library. ISBN: 978-1-78561-095-0. 2017
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2.
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Meng
Ao, Dong Yi, Zhen Lei and Stan
Z. Li “Face Recognition at a Distance: System Issues”, Handbook of Remote
Biometrics for Surveillance and Security, Tistarelli, Massimo; Li, Stan
Z.; Chellappa, Rama (Eds.). Springer. ISBN: 978-1-84882-384-6. July 2009. [pdf]
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3.
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Rui Wang, Shengcai Liao, Zhen Lei and Stan Z. Li, “Multimodal Biometrics Based on Near
Infrared Face Recognition”, Chapter in Biometrics: Theory, Methods, and Applications (eds: N. V. Boulgouris, Konstantinos N.
Plataniotis, Evangelia Micheli-Tzanakou). Wiley-IEEE Press,
ISBN: 978-0-470-24782-2. November 2009.
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4.
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Stan Z. Li, Zhen
Lei, Ying Zheng, ZengFu Wang. "Shape
and Texture Based Deformable Models for Image Analysis". In Deformable Models - Theory & Biomaterial Applications", Suri, Jasjit S. & Farag, Aly (Eds.). Springer.
ISBN: 978-0-387-31201-9.
Aug 2007. [pdf]
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AI
Fundamental
1.
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Qu Tang, Xiangyu Zhu, Zhen Lei,
Zhaoxiang Zhang, “Intrinsic Physical Concepts Discovery with
Object-Centric Predictive Models”, In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2023). Vancouver, Canada, June 18-22, 2023.
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2.
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Chang Yu, Xiangyu Zhu, Xiaomei
Zhang, Zhaoxiang Zhang, Zhen Lei, “Graphics Capsule: Learning
Hierarchical 3D Face Representations from 2D Images”, In Proceedings
of IEEE International Conference on Computer Vision and Pattern
Recognition, (CVPR2023). Vancouver, Canada, June 18-22, 2023.
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3.
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Pengfei Wang, Zhaoxiang Zhang, Zhen
Lei, Lei Zhang, “Sharpness-Aware Gradient Matching for Domain
Generalization”, In Proceedings of IEEE International Conference on
Computer Vision and Pattern Recognition, (CVPR2023). Vancouver,
Canada, June 18-22, 2023.
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4.
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Sunyuan Qiang, Jiayi Hou, Jun Wan,
Yanyan Liang, Zhen Lei, Du Zhang, "Mixture Uniform
Distribution Modeling and Asymmetric Mix Distillation for Class
Incremental Learning", in Proceedings
of the Thirty-Seventh AAAI Conference on Artificial Intelligence, (AAAI
2023), Washington, DC, USA, February 7–14, 2023.
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5.
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Zongzhao
Li, Xiangyu Zhu, Zhen Lei,
Zhaoxiang Zhang, “Deconfounding Physical Dynamics with Global Causal
Relation and Confounder Transmission for Counterfactual Prediction”, in Proceedings of 36th AAAI Conference on
Artificial Intelligence, (AAAI 2022), Vancouver, BC, Canada, February
22–March 1, 2022. [pdf]
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6.
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Qu
Tang, Xiangyu Zhu, Zhen Lei,
Zhaoxiang Zhang, “Object Dynamics Distillation for Scene Decomposition
and Representation”, in Tenth
International Conference on Learning Representations (ICLR 2022), 2022.
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7.
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Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang
Zhang, Zhen Lei, “HP-Capsule:
Unsupervised Face Part Discovery by Hierarchical Parsing Capsule
Network”, In Proceedings of
IEEE International Conference on Computer Vision and Pattern Recognition,
(CVPR2022). New
Orleans, Louisiana, June 19-24, 2022. [pdf]
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Object
(Face, Pedestrian) Detection
1.
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Xiaomei Zhang, Yingying Chen,
Ming Tang, Zhen Lei, Jinqiao Wang, “Grammar-Induced Wavelet
Network for Human Parsing”, IEEE Transactions on Image
Processing, volume 31, 4502-4514, 14 June 2022.
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2.
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Xiaomei Zhang, Yingying Chen,
Ming Tang, Jinqiao Wang, Xiangyu Zhu, Zhen Lei, “Human Parsing
with Part-aware Relation Modeling”, IEEE Transactions on Multimedia,
volume 25, 2601-2612, 07 February 2022.
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3.
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Xiaomei Zhang, Feng
Pan, Ke Xiang, Xiangyu Zhu, Chang Yu, Zidu Wang, Zhen Lei,
“Contrastive and Consistent Learning for Unsupervised Human Parsing”, In
Proceedings of the 16th Chinese
Conference on Biometrics, (CCBR2022).
Beijing, China, Oct. 27-28, 2022.
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4.
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Chubin Zhuang, Zongzhao Li,
Xiangyu Zhu, Zhen Lei, Stan Z. Li, “SADet: Learning An Efficient
and Accurate Pedestrian Detector”, In Proceedings of the IAPR/IEEE
International Joint Conference on Biometrics (IJCB2021), Shenzhen,
China, August 4-7, 2021.
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5.
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Lu Zhang, Zhiyong Liu,
Xiangyu Zhu, Zhan Song, Xu Yang, Zhen Lei, Hong Qiao, “Weakly
Aligned Feature Fusion for Multimodal Object Detection”, IEEE
Transactions on Neural Networks and Learning Systems, accepted, 26
August 2021.
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6.
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Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li,
“RefineFace: Refinement Neural Network for High Performance Face
Detection”, IEEE Transaction on Pattern Analysis and
Machine Intelligence, 43(11): 4008-4020, 2021.
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7.
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Shifeng Zhang, Longyin Wen, Zhen Lei, Stan Z. Li, “RefineDet++: Single-Shot
Refinement Neural Network for Object Detection”. IEEE
Transaction on Circuits and Systems for Video Technology, 31(2): 674-687, 2021
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8.
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Shifeng Zhang, Cheng Chi,
Yongqiang Yao, Zhen Lei, Stan
Z. Li, “Bridging the Gap Between Anchor-based and Anchor-free Detection
via Adaptive Training Sample Selection”, In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2020).Seattle, Washington, June 14-19,
2020.[pdf]
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9.
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Cheng Chi, Shifeng Zhang,
Junliang Xing, Zhen Lei, Stan
Z. Li, Xudong Zou. “PedHunter: Occlusion Robust Pedestrian Detector in
Crowded Scenes”, in Proceedings
of the Thirty-Fourth AAAI Conference on Artificial Intelligence, (AAAI
2020), New York, New York USA, February 7–12, 2020.
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10.
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Cheng Chi, Shifeng Zhang,
Junliang Xing, Zhen Lei, Stan
Z. Li, Xudong Zou. “Relational Learning for Joint Head and Human
Detection”, in Proceedings
of the Thirty-Fourth AAAI Conference on Artificial Intelligence, (AAAI
2020), New York, New York USA, February 7–12, 2020. [pdf]
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11.
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Shifeng Zhang, Longyin Wen, Hailin Shi, Zhen Lei, Siwei Lyu,
Stan Z. Li. “Single-Shot Scale-Aware Network for Real-Time Face
Detection”. International Journal
of Computer Vision (IJCV), Volume 127, Issue 6-7, pp 537–559, June
2019. [pdf]
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12.
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Shifeng Zhang, Xiaobo
Wang, Zhen Lei, Stan Z. Li, “FaceBoxes: A CPU Real-Time and
Accurate Unconstrained Face Detector”, Neurocomputing, 364: 297-309, 2019. [pdf]
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13.
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Yongming Zhang, Shifeng
Zhang, Chubin Zhuang, Zhen Lei.
Feature Enhancement for Joint Human and Head Detection. In
Proceedings of the 14th Chinese
Conference on Biometrics, (CCBR2019).
Hunan, China, October 12-13, 2019. [pdf]
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14.
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Lu
Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu, “Weakly Aligned Cross-Modal Learning
for Multispectral Pedestrian Detection”, In Proceedings of IEEE International Conference on Computer Vision,
(ICCV2019). Seoul, Korea, Oct. 27-Nov. 2, 2019. [pdf]
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15.
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Chubin
Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen
Lei, Jinqiao Wang, Stan Z. Li, “FLDet: A CPU Real-time Joint Face and
Landmark Detector”, In Proceedings
of the 12th IAPR International Conference on Biometrics, (ICB2019). Crete, Greece, June
4-7, 2019. [pdf]
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16.
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Haibo
Jin, Shifeng Zhang, Xiangyu Zhu, Yinhang Tang, Zhen Lei, Stan Z. Li, “Learning Lightweight Face Detector
with Knowledge Distillation”, In Proceedings
of the 12th IAPR International Conference on Biometrics, (ICB2019). Crete, Greece, June
4-7, 2019. [pdf]
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17.
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Cheng
Chi, Shifeng Zhang, Junliang Xing, Zhen
Lei, Stan Z. Li, Xudong Zou. “Selective Refinement Network for High
Performance Face Detection”, in Proceedings
of the Thirty-Third AAAI Conference on Artificial Intelligence, (AAAI
2019), Honolulu, Hawaii, USA, January 27–February 1, 2019. [pdf]
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18.
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Shifeng Zhang, Xiangyu
Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li, “Detecting
Face with Densely Connected Face Proposal Network”, Neurocomputing, vol 284: 119-127, 2018. [pdf]
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19.
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Chubin
Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen
Lei, Stan Z. Li. “Single Shot Attention-Based Face Detector”. In Proceedings of the 13th Chinese
Conference on Biometrics, (CCBR2018).
XinJiang, China, August 11-12, 2018. [pdf]
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20.
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Shifeng
Zhang, Longyin Wen, Xiao Bian, Zhen
Lei, Stan Z. Li. “Occlusion-aware R-CNN: Detecting Pedestrians in a
Crowd”. In Proceedings of European
Conference on Computer Vision, (ECCV2018). Munich, Germany, September
8-14, 2018. [pdf]
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21.
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Shifeng
Zhang, Longyin Wen, Xiao Bian, Zhen
Lei, Stan Z. Li. “Single-Shot Refinement Neural Network for Object
Detection”. In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2018). Salt Lake City, Utah, June 18-June 22, 2018. [pdf]
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22.
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Shifeng
Zhang, Xiangyu Zhu, Zhen Lei,
Hailin Shi, Xiaobo Wang, Stan Z. Li. “Detecting Face with Densely
Connected Face Proposal Network”. In Proceedings of the 12th Chinese Conference on Biometrics, (CCBR2017). ShenZhen, China, Oct.
28-29, 2017.[pdf]
Best
Student Paper Award
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23.
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Shifeng
Zhang, Xiangyu Zhu, Zhen Lei,
Hailin Shi, Xiaobo Wang, Stan Z. Li, "S3FD: Single Shot
Scale-invariant Face Detector", In Proceedings of IEEE International Conference on Computer Vision,
(ICCV2017). Venice, Oct. 22-29, 2017. [pdf]
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24.
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Shifeng
Zhang, Xiangyu Zhu, Zhen Lei,
Hailin Shi, Xiaobo Wang, and Stan Z. Li, "FaceBoxes: A CPU Real-time
Face Detector with High Accuracy", In Proceedings of the IAPR/IEEE International Joint Conference on
Biometrics (IJCB2017), Denver, Colorado, USA, October 1-4, 2017. [pdf]
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25.
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Bin
Yang, Zhen Lei, Stan Z. Li.
“CRAFT Objects from Images”, In Proceedings of
IEEE International Conference on Computer Vision and Pattern Recognition,
(CVPR2016). Las Vegas,
June 26-July 1, 2016. [pdf]
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26.
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Bin
Yang, Junjie Yan, Zhen Lei,
Stan Z. Li. “Convolutional Channel Features”. In Proceedings of IEEE International Conference on Computer Vision,
(ICCV 2015), Santiago, Chile, December 11-18, 2015. [pdf]
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27.
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Junjie
Yan, Yinan Yu, Xiangyu Zhu, Zhen
Lei, Stan Z. Li. “Object Detection by Labeling Superpixels”,
In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2015).Boston,
June 7-12, 2015. [pdf]
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28.
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Bin
Yang, Junjie Yan, Zhen Lei,
Stan Z. Li. “Fine-grained Evaluation on Face Detection in the Wild”, In Proceedings of 11th IEEE International
Conference on Automatic Face and Gesture Recognition 2015 (FG2015).
Ljubljana, Slovenia, May 4-8, 2015. [pdf] (http://www.cbsr.ia.ac.cn/faceEvaluation/)
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29.
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Junjie Yan, Xucong Zhang, Zhen Lei,
Stan Z. Li. “Face Detection by Structural Models”, Image and Vision Computing,32(10):
790-799, 2014. [pdf]
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30.
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Junjie
Yan, Bin Yang, Zhen Lei, Stan
Z. Li. “Adaptive Structural Model for Video Based Pedestrian Detection”. In Proceedings of 12th Asian Conference on Computer
Vision (ACCV2014). Singapore, November 1-5, 2014. [pdf]
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31.
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Bin
Yang, Junjie Yan, Zhen Lei,
Stan Z. Li. “Aggregate Channel Features for Multi-view Face Detection”.
In Proceedings of International
Joint Conference on Biometrics, (IJCB2014). Clearwater, Florida, USA,
September 29- October 2, 2014.[pdf]
IAPR Best
Biometrics Student Paper Award
|
32.
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Junjie Yan, Zhen Lei, Longyin Wen, Stan Z. Li. “The Fastest Deformable
Part Model for Object Detection”. In Proceedings of 27th IEEE International
Conference on Computer Vision and Pattern Recognition, (CVPR2014).
Columbus, Ohio, June 23-28, 2014.[pdf]
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33.
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Junjie
Yan, Xucong Zhang, Zhen Lei,
Shengcai Liao, Stan Z. Li. “Robust Multi-Resolution Pedestrian Detection
in Traffic Scenes”. In Proceedings
of 26th IEEE International Conference on Computer Vision and Pattern
Recognition, (CVPR2013). Portland, Oregon, June 23-28, 2013. [pdf]
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34.
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Junjie
Yan, Xucong Zhang, Zhen Lei,
Stan Z. Li. “Real-time High Performance Deformable Model for Face
Detection in the Wild”. In Proceedings
of the 6th IAPR International Conference on Biometrics, (ICB2013). Madrid, Spain, June
4-7, 2013. [pdf]
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35.
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Junjie
Yan, Xucong Zhang, Zhen Lei,
Dong Yi, Stan Z. Li. Structural Models for Face Detection. In Proceedings of the 10th IEEE
International Conference on Automatic Face and Gesture Recognition,
(FG2013). Shanghai, China, April 22-26, 2013. Best Student Paper Honorable Mention
[pdf]
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36.
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Zhiwei Zhang, Dong Yi,
Zhen Lei, Stan Z. Li. " Regularized Transfer Boosting for Face
Detection Across Spectrum", In IEEE
Signal Processing Letters, 19 (3): 131-134, March, 2012.
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37.
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Junjie
Yan, Zhen Lei, Dong Yi, Stan
Z. Li. “Multi-Pedestrian Detection in Crowded Scenes: A Global View”. In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2012).Providence, Rhode island, June
16-21, 2012.[pdf]
|
38.
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Yuanhao
Yu, Zhen Lei, Dong Yi, Stan Z.
Li. “Detecting Individual in Crowd with Moving Feature’s Structure
Consistency”. In Proceedings of 2nd
IEEE Workshop on Analysis and Retrieval of Tracked Events and Motion in
Imagery Streams (in conjunction with ICCV 2011). Barcelona, Spain,
November, 2011. [pdf]
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39.
|
Dong
Yi, Zhen Lei, Stan Z. Li. “A
Robust Eye Localization Method for Low Quality Face Images”. In Proceedings of International Joint
Conference on Biometrics, (IJCB 2011). Washington, D.C., October,
2011. [pdf]
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3D
Face/Human Analysis, Face Alignment, Shape Recovery
1.
|
Yueying Kao, Bowen Pan, Miao
Xu, Jiangjing Lyu, Xiangyu Zhu, Yuanzhang Chang, Xiaobo Li, Zhen Lei,
“Toward 3D Face Reconstruction in Perspective Projection: Estimating 6DoF
Face Pose From Monocular Image”, IEEE Trans. Image Process. 32:
3080-3091, 2023.
|
2.
|
Zhiyuan Ma, Xiangyu Zhu,
Guojun Qi, Zhen Lei, Lei Zhang, “OTAvatar : One-shot Talking Face
Avatar with Controllable Tri-plane Rendering”, In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2023). Vancouver, Canada, June 18-22, 2023.
|
3.
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Tingting Liao, Xiaomei Zhang,
Yuliang Xiu, Hongwei Yi, Xudong Liu, Guo-Jun Qi, Yong Zhang, Xuan Wang,
Xiangyu Zhu, Zhen Lei, “High-Fidelity Clothed Avatar
Reconstruction from a Single Image”,
In Proceedings of IEEE International Conference on Computer
Vision and Pattern Recognition, (CVPR2023). Vancouver, Canada, June
18-22, 2023.
|
4.
|
Xiangyu Zhu, Chang Yu, Di
Huang, Zhen Lei, Hao Wang, Stan Z. Li, “Beyond 3DMM: Learning to
Capture High-fidelity 3D Face Shape”, IEEE Transaction on
Pattern Analysis and Machine Intelligence, 45(2), 1442-1457, 01 February 2023. [pdf]
|
5.
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Zhiwei Liu, Xiangyu Zhu, Lu
Yang, Xiang Yan, Ming Tang, Zhen
Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang, “Multi-initialization
Optimization Network for Accurate 3D Human Pose and Shape Estimation”, in
ACM Multimedia 2021.
|
6.
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Tingting Liao, Xiangyu Zhu, Zhen
Lei, Stan Z. Li, “3D Context-Aware PIFu for Clothed Human
Reconstruction”, In Proceedings of the 15th Chinese Conference on Biometrics, (CCBR2021). Shanghai, China,
September 10-12, 2021.
|
7.
|
Jianzhu Guo, Xiangyu Zhu,
Yang Yang, Fan Yang, Zhen Lei,
Stan Z. Li, “Towards Fast, Accurate and Stable 3D Dense Face Alignment”,
In Proceedings
of 16th European Conference on Computer Vision, (ECCV2020).
Online, August 23-28, 2020. [pdf]
|
8.
|
Xiangyu Zhu, Fan Yang, Di
Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li, “Beyond 3DMM Space: Towards
Fine-grained 3D Face Reconstruction”, In Proceedings
of 16th European Conference on Computer Vision, (ECCV2020).
Online, August 23-28, 2020. [pdf]
|
9.
|
Xiangyu
Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li, "Face Alignment In
Full Pose Range: A 3D Total Solution", IEEE Transaction on Pattern Analysis and Machine Intelligence, 41(1):78-92, 2019. [pdf]
|
10.
|
Zhiwei Liu, Xiangyu Zhu, Guosheng
Hu, Haiyun Guo, Ming Tang, Zhen
Lei, Neil M. Robertson, Jinqiao Wang, “Semantic Alignment: Finding
Semantically Consistent Ground-truth for Facial Landmark Detection”, In Proceedings of IEEE International
Conference on Computer Vision and Pattern Recognition, (CVPR2019).
Long Beach, CA, June 16-June 20, 2019. [pdf]
|
11.
|
Sufang Zhang, Qinghai Miao, Min
Huang, Xiangyu Zhu, Yingying Chen, Zhen
Lei, Jinqiao Wang. Pose-Weighted Gan for Photorealistic Face
Frontalization. In Proceedings
of The 26 th IEEE International
Conference on Image Processing, (ICIP2019), Taipei, Taiwan, September
22-25, 2019.
|
12.
|
Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, Stan Z. Li. “Face
Alignment Across Large Poses: A 3D Solution”,
In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2016). Las
Vegas, June 26-July 1, 2016. [pdf]
|
13.
|
Xiangyu
Zhu, Junjie Yan, Dong Yi, Zhen Lei,
Stan Z. Li. “Discriminative 3D Morphable Model Fitting”, In Proceedings of 11th IEEE International
Conference on Automatic Face and Gesture Recognition 2015 (FG2015).
Ljubljana, Slovenia, May 4-8, 2015. [pdf]
|
14.
|
Junjie
Yan, Zhen Lei, Yang Yang, Stan
Z. Li. “Stacked Deformable Part Model with Shape Regression for Object
Part Localization”. In
Proceedings of European Conference
on Computer Vision, (ECCV2014). Zurich, September 6-12, 2014. [pdf]
|
15.
|
Xiangyu
Zhu, Dong Yi, Zhen Lei, Stan
Z. Li. “Robust 3D Morphable Model Fitting by Sparse SIFT Flow”. In Proceedings of International
Conference on Pattern Recognition, (ICPR2014). Sweden, August 24-28,
2014.[pdf]
|
16.
|
Junjie
Yan, Zhen Lei, Dong Yi, Stan
Z. Li. “Learn to Combine Multiple Hypotheses for Accurate Face
Alignment”. In IEEE workshop on 300
Faces in-the-Wild Challenge (300-W), (in conjunction with ICCV2013).
Sydney, Australia, December 1-8, 2013.[pdf]
|
17.
|
Ran He, Zhen Lei,
Xiaotong Yuan and Stan Z. Li, "Regularized Active Shape Model for
Shape Alignment", In Proceedings of IEEE International
Conference on Automatic Face & Gesture Recognition, (FG2008).
Amsterdam, The Netherlands, September, 2008. [pdf]
|
18.
|
Zhen Lei, Qinxun Bai, Ran He, Stan Z. Li. "Face
Shape Recovery from a Single Image Using CCA Mapping between Tensor
Spaces". In Proceedings of
IEEE International Conference on Computer Vision and Pattern Recognition,
(CVPR2008).
Anchorage,
Alaska, June, 2008.
[pdf]
|
19.
|
Ran
He, Stan Z. Li, Zhen Lei,
ShengCai Liao. "Coarse-to-Fine
Statistical Shape Model by Bayesian Inference". In The 8th Asian Conference on Computer
Vision, (ACCV 2007). Tokyo,
Japan, Nov 2007. [pdf]
|
Face
Recognition, Feature Representation
1.
|
Weisong Zhao, Xiangyu Zhu,
Kaiwen Guo, Xiaoyu Zhang, Zhen Lei, “Grouped Knowledge
Distillation For Deep Face Recognition”, in Proceedings
of the Thirty-Seventh AAAI Conference on Artificial Intelligence, (AAAI
2023), Washington, DC, USA, February 7–14, 2023.
|
2.
|
Zichang Tan, Ajian Liu, Jun
Wan, Zhen Lei, “Exploring the Limits of Hard Example Mining for ID
Document to Selfie Matching”, IEEE Transactions on Biometrics,
Behavior, and Identity Science, volume4, issue 4, 570-581, 2022.
|
3.
|
Weisong Zhao, Xiangyu Zhu,
Haichao Shi, Xiao-Yu Zhang, Zhen Lei, “Consistent Sub-Decision
Network for Low-Quality Masked Face Recognition”, IEEE Signal
Processing Letters, vol. 29, 1147-1151, 26 April 2022.
|
4.
|
Jun Li, Zichang Tan, Jun Wan,
Zhen Lei, Guodong Guo, “Nested
Collaborative Learning for Long-Tailed Visual Recognition”, In
Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2022). New
Orleans, Louisiana, June 19-24, 2022.
|
5.
|
Zichang Tan, Ajian Liu, Jun
Wan, Hao Liu, Zhen Lei,
Guodong Guo, Stan Z. Li, “Cross-Batch Hard Example Mining with Pseudo
Large Batch for ID vs. Spot Face Recognition”, IEEE
Transactions on Image Processing, Volume 31,
3224-3235, 12 April 2022.
|
6.
|
Tingting Liao, Zhen Lei, Tianqing Zhu, Shan
Zeng, Yaqin Li, Cao Yuan, “Deep Metric Learning for K Nearest Neighbor
Classification”, IEEE Transactions
on Knowledge and Data Engineering, 35(1), 264-275, 2023.
|
7.
|
Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li, “Decomposed
Meta Batch Normalization for Fast Domain Adaptation in Face Recognition”,
IEEE
Transactions on Information Forensics and Security, Volume 16, 3082-3095, 16 April 2021.
|
8.
|
Hao Liu, Xiangyu Zhu, Zhen Lei, Dong Cao, Stan Z. Li,
“Fast Adapting without Forgetting for Face Recognition”, IEEE
Transaction on Circuits and Systems for Video Technology, 31(8), 3093-3104, 04 November 2020.
|
9.
|
Yunxiao Qin, Weiguo Zhang,
Chenxu Zhao, Zezheng Wang, Xiangyu Zhu, Jingping Shi, Guojun Qi, Zhen
Lei, “Prior-knowledge and attention based meta-learning for few-shot
learning”, Knowledge Based Systems, 213: 106609, 2021
|
10.
|
Xiaqing Xu, Qiang Meng,
Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei, “Searching for Alignment in Face Recognition”, in Proceedings of the
Thirty-Fifth AAAI Conference on Artificial Intelligence, (AAAI 2021),
Virtual, February 2–9, 2021.
|
11.
|
Chang Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li,
“Out-of-Distribution Detection for Reliable Face Recognition”, IEEE Signal Processing Letters, 27: 710-714, 2020. [pdf]
|
12.
|
Haoxue Wu, Huaibo Huang,
Aijing Yu, Jie Cao, Zhen Lei, Ran
He, “Exemplar Guided Cross-Spectral Face Hallucination via Mutual
Information Disentanglement” , In Proceedings of International Conference on Pattern Recognition,
(ICPR2020). Virtual-Milano, January 10-15, 2021.
|
13.
|
Hang Du, Hailin Shi, Yuchi
Liu, Jun Wang, Zhen Lei, Dan
Zeng, Tao Mei, “Semi-Siamese Training for Shallow Face Learning”, In Proceedings of 16th
European Conference on Computer Vision, (ECCV2020).
Online, August 23-28, 2020. [pdf]
|
14.
|
Xiaobo Wang, Tianyu Fu,
Shengcai Liao, Shuo Wang, Zhen Lei,
Tao Mei, “Exclusivity-Consistency Regularized Knowledge Distillation for
Face Recognition”, In Proceedings
of 16th European Conference on Computer Vision, (ECCV2020).
Online, August 23-28, 2020. [pdf]
|
15.
|
Qi Zhang, Zhen Lei, Stan Z. Li, “Neighborhood-Aware
Attention Network for Semi-supervised Face Recognition”, In Proceedings of International Joint Conference on
Neural Networks,
(IJCNN2020). Online, July 19-24, 2020. [pdf]
|
16.
|
Jianzhu Guo, Xiangyu Zhu,
Chenxu Zhao, Dong Cao, Zhen Lei,
Stan Z. Li, “Learning Meta Face Recognition in Unseen Domains”, In
Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2020).Seattle, Washington, June 14-19,
2020. [pdf]
|
17.
|
Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan
Z. Li, “Context-Aware Attention Network for Image-Text Retrieval”, In
Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2020).Seattle, Washington, June 14-19,
2020. [pdf]
|
18.
|
Dong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu
Guo, Zhen Lei, “Domain
Balancing: Face Recognition on Long-Tailed Domains”, In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2020).Seattle, Washington, June 14-19,
2020. [pdf]
|
19.
|
Xiangyu Zhu, Hao Liu, Zhen
Lei, Hailin Shi, Fan Yang, Dong Yi, Guojun Qi, Stan Z. Li.
“Large-Scale Bisample Learning on ID Versus Spot Face Recognition”. International Journal of Computer
Vision (IJCV), Volume 127, Issue 6-7, pp 684–700, June 2019. [pdf]
|
20.
|
Xiaobo
Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z.
Li. “Multi-view Subspace Clustering with Intactness-Aware Similarity”, Pattern Recognition, volume 88,
50-63, 2019. [pdf]
|
21.
|
Hao
Liu, Xiangyu Zhu, Zhen Lei,
Stan Z. Li, “AdaptiveFace: Adaptive Margin and Sampling for Face
Recognition”, In Proceedings of
IEEE International Conference on Computer Vision and Pattern Recognition,
(CVPR2019). Long Beach, CA, June 16-June 20, 2019. [pdf]
|
22.
|
Xiaobo
Wang, Shifeng Zhang, Zhen Lei,
Si Liu, Xiaojie Guo, Stan Z. Li. “Ensemble Soft-Margin Softmax Loss for
Image Classification”. In Proceedings
of the 27th International Joint Conference on Artificial Intelligence,
(IJCAI-2018), Stockholm, Sweden, July 13-19, 2018. [pdf]
|
23.
|
Xiaobo
Wang, Zhen Lei, Hailin Shi,
Xiaojie Guo, Xiangyu Zhu, Stan Z. Li. “Co-Referenced Subspace
Clustering”. In Proceedings of IEEE
International Conference on Multimedia and Expo, (ICME 2018), San Diego, USA, July 23-27, 2018. [pdf] Best Student Paper Award Runner-up
|
24.
|
Jianzhu
Guo, Xiangyu Zhu, Zhen Lei,
Stan Z. Li. “Face Synthesis for Eyeglasss-Robust Face Recognition”. In Proceedings of the 13th Chinese
Conference on Biometrics, (CCBR2018).
XinJiang, China, August 11-12, 2018. [pdf]
|
25.
|
Jinlin Wu, Hailin Shi, Shu Zhang, Zhen Lei, Yang Yang, Stan Z. Li.
“De-mark GAN: Removing Dense Watermark With Generative Adversarial
Network”. In Proceedings of the
11th IAPR International Conference on Biometrics, (ICB2018). Queensland, Australia,
February 20-23, 2018. [pdf]
|
26.
|
Hailin
Shi, Xiaobo Wang, Dong Yi, Zhen Lei, Xiangyu Zhu, Stan Z. Li.
“Cross-Modality Face Recognition via Heterogeneous Joint Bayesian”, IEEE Signal Processing
Letters, 24(1): 81-85, 2017. [pdf]
|
27.
|
Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan
Z. Li. “Exclusivity-Consistency Regularized Multi-view Subspace
Clustering”, In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2017). Honolulu, Hawaii, July 21-July 26, 2017. [pdf]
|
28.
|
Zhen Lei, Dong Yi, Stan Z. Li. “Learning Stacked Image Descriptor for
Face Recognition”. IEEE Transaction on Circuits and
Systems for Video Technology, 26(9): 1685-1696, 2016. [pdf]
|
29.
|
Hailin Shi, Xiangyu Zhu, Zhen Lei, Shengcai Liao, Stan Z.
Li. “Learning Discriminative Features with Class Encoder”, In Workshop on Robust
Features for Computer Vision, in conjunction with CVPR2016.
Las Vegas, June 26-July 1, 2016. [pdf]
|
30.
|
Chuan-Xian
Ren, Zhen Lei, Dao-Qing Dai, Stan Z. Li, “Enhanced Local Gradient
Order Features and Discriminant Analysis for Face Recognition”. IEEE Transaction on Cybernetics, 46(11): 2656-2669,
2015. [pdf]
|
31.
|
Zhen
Lei,
Dong Yi, Xiangsheng Huang, Stan Z. Li. “Subspace learning with frequency
regularizer: its application to face recognition”, In Proceedings of the 8th IAPR
International Conference on Biometrics, (ICB2015). Phuket, Thailand, May 19-22, 2015. [pdf]
|
32.
|
Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, Stan Z. Li. “High-Fidelity
Pose and Expression Normalization for Face Recognition in the Wild” , In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2015).Boston,
June 7-12, 2015. [pdf]
|
33.
|
Dong Yi, Zhen Lei, Stan Z. Li. “Shared Representation Learning for
Heterogenous Face Recognition”, In Proceedings
of 11th IEEE International Conference on Automatic Face and Gesture
Recognition 2015 (FG2015). Ljubljana, Slovenia, May 4-8, 2015. [pdf]
|
34.
|
Zhen Lei, Matti Pietikainen, Stan
Z. Li. “Learning
Discriminant Face Descriptor”, IEEE
Transaction on Pattern Analysis and Machine Intelligence, 36(2):289-302,
Feb. 2014. [pdf] [matlab_code]
|
35.
|
Xinjie
Wei, Chang-Tsun Li, Zhen Lei, Dong Yi, Stan Z. Li. “Dynamic
Image-to-Class Warping for Occluded Face Recognition”. IEEE
Transactions on Information Forensics and Security, Special issue on
Facial Biometrics in the wild, 9(12):
2035-2050, December, 2014.[pdf]
|
36.
|
Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li. “A Benchmark Study of
Large-scale Unconstrained Face Recognition”. In Proceedings of
International Joint Conference on Biometrics, (IJCB2014). Clearwater,
Florida, USA, September 29- October 2, 2014.[pdf]
|
37.
|
Zhen
Lei,
Dong Yi, Stan Z. Li. “Local Gradient Order Pattern for Face
Representation and Recognition”. In Proceedings
of International Conference on Pattern Recognition, (ICPR2014).
Sweden, August 24-28, 2014.[pdf]
|
38.
|
Xiangsheng
Huang, Zhen Lei, Mingyu Fan, Xiao Wang, Stan Z. Li. “Regularized Discriminative Spectral
Regression Method for Heterogeneous Face Matching”, IEEE Transaction on Image Processing, 22(1), 353-362, 2013.[pdf]
|
39.
|
Stan Z. Li, Dong Yi, Zhen Lei, Shengcai Liao. “The
CASIA NIR-VIS 2.0 Face Database”. In
IEEE Workshop on Perception Beyond the Visible Spectrum (in conjunction with CVPR 2013).
Portland, Oregon, June 23-28, 2013. [pdf]
|
40.
|
Dong Yi, Zhen Lei, Stan Z. Li. “Towards Pose Robust Face Recognition”.
In Proceedings of 26th IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2013). Portland, Oregon, June 23-28, 2013. [pdf]
|
41.
|
Zhen
Lei,
Shengcai Liao, Anil K. Jain, and Stan Z. Li, "Coupled Discriminant
Analysis for Heterogeneous Face Recognition", IEEE
Transactions on Information Forensics and Security, 7(6): 1707-1716,
December, 2012 [pdf]
|
42.
|
Zhen Lei, Zhiwei Zhang, Stan. Z.
Li. “Feature Space Locality Constraint for Kernel based Nonlinear
Discriminant Analysis”, Pattern
Recognition, 45 (7): 2733-2742, 2012. [pdf]
|
43.
|
Zhen Lei, Stan
Z. Li. “Fast Multi-scale Local Phase Quantization
Histogram for Face Recognition”, Pattern
Recognition Letters, 33 (13): 1761-1767, 2012. [pdf]
|
44.
|
Zhen
Lei,
Stan Z. Li. “Learning Discriminant Face Descriptor for Face Recognition”.
In Proceedings of 11th Asian
Conference on Computer Vision (ACCV2012). Daejeon, Korea, November
5-9, 2012. [pdf]
|
45.
|
Zhen
Lei,
Shengcai Liao, Stan Z. Li. “Efficient Feature Selection for Linear
Discriminant Analysis and Its Application to Face Recognition”, In Proceedings of International
Conference on Pattern Recognition, (ICPR2012). Japan, November 11-15,
2012. [pdf]
|
46.
|
Zhen
Lei,
Dong Yi, Stan Z. Li. “Discriminant Image Filter Learning for Face
Recognition with Local Binary Pattern Like Representation”. In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2012).Providence, Rhode island, June
16-21, 2012.[pdf]
|
47.
|
Zhen
Lei,
Changtao Zhou, Dong Yi, Anil K. Jain, Stan Z. Li. "An Improved
Coupled Spectral Regression for Heterogeneous Face Recognition". In Proceedings of The 5th IAPR
International Conference on Biometrics (ICB 2012), New Delhi, India,
2012.[pdf]
|
48.
|
Jianfei Zhu, Dong Cao, Sifei Liu, Zhen Lei, Stan Z. Li.
"Discriminant Analysis with Gabor Phase for Robust Face
Recognition". In Proceedings
of The 5th IAPR International Conference on Biometrics (ICB 2012),
New Delhi, India, 2012.[pdf]
|
49.
|
Sifei Liu, Dong Yi, Zhen Lei, Stan Z. Li.
“Heterogeneous Face Image Matching Using Multi-scale Features”. In Proceedings of The 5th IAPR
International Conference on Biometrics (ICB 2012), New Delhi, India,
2012.[pdf]
|
50.
|
Zhen Lei, Shengcai Liao, Matti
Pietikainen, Stan Z. Li. “Face
Recognition by Exploring Information Jointly in Space, Scale and
Orientation”, IEEE Transaction on
Image Processing, 20 (1): 247-256, January, 2011. [pdf]
|
51.
|
Zhen Lei, Stan Z. Li. “Contextual Constraints based Linear
Discriminant Analysis”, Pattern
Recognition Letters, 32 (4): 626-632, 2011. [pdf]
|
52.
|
Changtao Zhou, Zhiwei Zhang, Dong
Yi, Zhen Lei, Stan Z. Li.
“Low-Resolution Face Recognition via Simultaneous Discriminant Analysis”.
In Proceedings of International Joint
Conference on Biometrics, (IJCB 2011). Washington, D.C., October,
2011. [pdf]
|
53.
|
Junjie Yan, Zhen Lei, Dong Yi, Stan Z. Li. “Towards Incremental and Large
Scale Face Recognition.” In
Proceedings of International Joint Conference on Biometrics, (IJCB 2011).
Washington, D.C., October, 2011. [pdf]
|
54.
|
Zhen Lei, Timo
Ahonen, Matti Pietikainen, Stan Z. Li. “Local
Frequency Descriptor for Low-resolution Face Recognition.” In Proceedings of IEEE International
Conference on Automatic Face & Gesture Recognition, (FG2011).
Santa Barbara, CA, March, 2011. [pdf]
|
55.
|
Zhen Lei,
Shengcai Liao, Stan Z. Li. “Stepwise Correlation Metric Based Discriminant
Analysis and Multi-Probe Images Fusion for Face
Recognition”, In Proceedings
of The 2nd IEEE
International Workshop on Subspace (in conjunction with ICCV'2009). Kyoto, Japan, Sep. 27, 2009. [pdf]
|
56.
|
Shengcai Liao, Zhen Lei,
Stan Z. Li. “Nonnegative
Matrix Factorization with Gibbs Random Field Modeling”, In Proceedings of The 2nd IEEE International Workshop on Subspace (in conjunction with ICCV'2009). Kyoto, Japan, Sep. 27, 2009. [pdf]
|
57.
|
Zhen Lei, Stan
Z. Li. “Coupled
Spectral Regression for Matching Heterogeneous Faces”. In Proceedings of IEEE International
Conference on Computer Vision and Pattern Recognition, (CVPR2009).Miami, Florida, June 20-25, 2009. [pdf]
|
58.
|
Stan Z. Li, Zhen Lei, Meng Ao. “The
HFB Face Database for Heterogeneous Face Biometrics Research”. In 6th IEEE Workshop on
Object Tracking and Classification Beyond and in the Visible Spectrum
(OTCBVS, in conjunction with CVPR 2009). Miami, Florida, June, 2009. [pdf]
|
59.
|
Zhen Lei,
Shengcai Liao, Dong Yi, Rui Qin, Stan Z. Li. “A
Discriminant Analysis Method for Face Recognition in Heteroscedastic
Distributions”. In Proceedings of IAPR/IEEE International
Conference on Biometrics, (ICB-2009). Alghero,
Italy,
June 2009. [pdf]
|
60.
|
Dong Yi, Shengcai Liao, Zhen Lei, Jitao Sang, Stan Z.
Li. “Partial
Face Matching between Near Infrared and Visual Images in MBGC Portal
Challenge”. In Proceedings of IAPR/IEEE International
Conference on Biometrics, (ICB-2009). Alghero,
Italy,
June 2009. [pdf]
|
61.
|
Shengcai Liao, Dong Yi, Zhen Lei, Rui Qin, Stan Z. Li. “Heterogeneous
Face Recognition from Local Structures of Normalized Appearance”. In Proceedings of IAPR/IEEE International
Conference on Biometrics, (ICB-2009). Alghero,
Italy,
June 2009. [pdf]
|
62.
|
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li. “Bayesian
Face Recognition Based on Markov Random Field Modeling”. In Proceedings of IAPR/IEEE International
Conference on Biometrics, (ICB-2009). Alghero,
Italy,
June 2009. [pdf]
|
63.
|
Zhen Lei,
Shengcai Liao, Ran He, Matti Pietikainen, Stan Z. Li. "Gabor
Volume based Local Binary Pattern for Face Representation and
Recognition". In Proceedings
of IEEE International Conference on Automatic Face & Gesture
Recognition, (FG2008). Amsterdam, The Netherlands, September, 2008. [pdf]
|
64.
|
Bin Fan, Zhen Lei, Stan Z. Li,
"Normalized LDA for Semi-supervised
Learning", In Proceedings of IEEE International
Conference on Automatic Face & Gesture Recognition, (FG2008).
Amsterdam, The Netherlands, September, 2008. [pdf]
|
65.
|
Weilong Yang, Dong Yi, Zhen Lei, Jitao Sang, Stan Z Li,
“2D-3D face matching using CCA”,
In Proceedings of IEEE
International Conference on Automatic Face & Gesture Recognition,
(FG2008). Amsterdam, The Netherlands, September, 2008. [pdf]
|
66.
|
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, Ran He. "Structured
Ordinal Features for Appearance-Based Object Representation".
In Proceedings of IEEE
International Workshop on Analysis and Modeling of Faces and Gestures, (AMFG 2007). Rio de Janeiro, Brazil,
Oct 2007. [pdf]
|
67.
|
Zhen
Lei, Rufeng
Chu, Ran He, Shengcai Liao, Stan Z. Li. "Face Recognition by
Discriminant Analysis with Gabor Tensor Representation". In Proceedings of IAPR/IEEE
International Conference on Biometrics, (ICB-2007). Seoul,
Korea, August 2007.
[pdf]
|
68.
|
Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. Li. "Learning
Gabor Magnitude Features for Palmprint Recognition". In The 8th Asian Conference on Computer
Vision, (ACCV 2007). Tokyo,
Japan, Nov 2007. [pdf]
|
69.
|
Zhen Lei, Stan Z. Li, Rufeng Chu, Xiangxin Zhu. "Face
Recognition with Local Gabor Textons". In Proceedings of IAPR/IEEE International Conference on
Biometrics, (ICB-2007). Seoul, Korea, August 2007. [pdf]
|
70.
|
Xiangxin
Zhu, Shengcai Liao, Zhen Lei,
Rong Liu, Stan Z. Li. "Feature Correlation Filter for Face
Recognition". In Proceedings of IAPR/IEEE International
Conference on Biometrics, (ICB-2007). Seoul, Korea, August 2007. [pdf]
|
71.
|
Shengcai
Liao, Xiangxin Zhu, Zhen Lei,
Lun Zhang, Stan Z. Li. "Learning Multi-scale Block Local Binary
Patterns for Face Recognition". In Proceedings of IAPR/IEEE
International Conference on Biometrics, (ICB-2007). Seoul, Korea,
August 2007.
Best Paper
Award. [pdf]
|
72.
|
Dong Yi,
Rong Liu, Rufeng Chu, Zhen Lei,
Stan Z. Li. "Face Matching Between Near Infrared and Visible Light
Images ". In Proceedings of IAPR/IEEE International Conference on
Biometrics, (ICB-2007). Seoul, Korea, August 2007. [pdf]
|
73.
|
ShengCai
Liao, Zhen Lei, XiangXin Zhu,
ZheNan Sun, Stan Z. Li, Tieniu Tan. "Face Recognition Using
Ordinal Features". In Proceedings of IAPR International Conference
on Biometrics, (ICB-2006). Hong Kong, Jan 2006. Best Student
Paper Award. [pdf]
|
74.
|
Stan Z.
Li, ChunShui Zhao, Meng Ao, Zhen
Lei. "3D+2D
Face Recognition by Fusion at Both Feature and Decision
Levels". In Proceedings of IEEE International Workshop on
Analysis and Modeling of Faces and Gestures. Beijing. Oct 16,
2005. [pdf]
|
Face
Anti-spoofing/Deepfake Detection
1.
|
Bin Zhang, Xiangyu
Zhu, Xiaoyu Zhang, Zhen Lei, “Modeling Spoof Noise by De-spoofing
Diffusion and its Application in Face Anti-spoofing”, In
Proceedings of the IAPR/IEEE
International Joint Conference on Biometrics (IJCB2023), Ljubljana,
Slovenia, 25-28 Sept. 2023.
|
2.
|
Bin Zhang, Xiangyu
Zhu, Xiaoyu Zhang, Shukai Chen, Peng Li, Zhen Lei, “Spoof-guided
Image Decomposition for Face Anti-spoofing”, In Proceedings of The 6th Chinese
Conference on Pattern Recognition and Computer Vision(PRCV 2023), Xiamen,
China, 13-15 Oct. 2023.
|
3.
|
Xiangyu Zhu, Hongyan
Fei, Bin Zhang, Tianshuo Zhang, Xiaoyu Zhang, Stan Z. Li, Zhen Lei,
“Face Forgery Detection by 3D Decomposition and Composition Search”, IEEE Transaction on Pattern Analysis and Machine Intelligence,
accepted, Dec. 2022.
|
4.
|
Zezheng Wang, Zitong
Yu, Xun Wang, Yuxiao Qin, Jiahong Li, Chenxu Zhao, Xin Liu, Zhen Lei,
“Consistency Regularization for Deep Face Anti-Spoofing”, IEEE
Transactions on Information Forensics and Security, Volume
18, 1127-1140, 09 January 2023.
|
5.
|
Tianshuo Zhang,
Xiangyu Zhu, Feng Pan, Ke Xiang, Zhen Lei, “Face Forgery Detection
by Multi-dimensional Image Decomposition”, In Proceedings of the 16th Chinese
Conference on Biometrics, (CCBR2022).
Beijing, China, Oct. 27-28, 2022. Best Poster Paper
Award
|
6.
|
Zitong Yu, Yunxiao Qin, Xiaobai Li, Chenxu Zhao,
Zhen Lei, Guoying Zhao, “Deep Learning for Face Anti-Spoofing: A
Survey”, IEEE Transaction on Pattern Analysis and
Machine Intelligence, 45(5), 5609-5631, 2023.
|
7.
|
Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan,
Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan
Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang, “Contrastive
Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack
Detection”, IEEE Transactions on Information Forensics and Security,
Volume 17, 2497-2507, 04 July 2022.
|
8.
|
Jiong Wang, Zhou Zhao, Weike Jin, Xinyu Duan, Zhen Lei, Baoxing Huai, Yiling
Wu, Xiaofei He, “VLAD-VSA: Cross-Domain Face Presentation Attack
Detection with Vocabulary Separation and Adaptation”, In Proceedings of the 29th ACM
International Conference on Multimedia (ACM MM), Chengdu, October
20-24, 2021
|
9.
|
Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su,
Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo, “3D
High-Fidelity Mask Face Presentation Attack Detection Challenge”, In the 3rd Chalearn Face Anti-spoofing
Workshop and Challenge, in conjunction with ICCV2021, Virtual,
October 11-17, 2021.
|
10.
|
Xiangyu Zhu, Hao Wang,
Hongyan Fei, Zhen Lei, Stan Z. Li, “Face Forgery Detection by 3D
Decomposition”, In Proceedings of IEEE International Conference on Computer Vision
and Pattern Recognition, (CVPR2021). Virtual, June 19-June 25, 2021.
|
11.
|
Yuxiao Qin, Zitong Yu, Longbin Yan, Zezheng
Wang, Chenxu Zhao, Zhen Lei,
“Meta-Teacher for Face Anti-spoofing”, IEEE Transaction on
Pattern Analysis and Machine Intelligence, accepted, 22 June 2021.
|
12.
|
Ajian Liu, Zichang Tan, Jun Wan, Yanyan Liang, Zhen
Lei, Guodong Guo, Stan Z. Li, “Face Anti-Spoofing via Adversarial
Cross-Modality Translation”, IEEE Transactions on Information
Forensics and Security, Volume 16, 2759-2772, 10 March 2021.
|
13.
|
Haonan Chen, Guosheng Hu, Zhen Lei, Yaowu Chen, Neil M. Robertson, Stan Z. Li,
“Attention-Based Two-Stream Convolutional Networks for Face Spoofing
Detection”, IEEE Transactions on Information Forensics and Security, 15: 578-593, 2020.
|
14.
|
Zezheng Wang, Chenxu Zhao, Zitong Yu, Yunxiao
Qin, Xiangyu Zhu, Qiusheng Zhou, Feng Zhou, Zhen Lei, “Deep Spatial Gradient and Temporal Depth Learning
for Face Anti-spoofing”, In Proceedings of
IEEE International Conference on Computer Vision and Pattern Recognition,
(CVPR2020). Seattle,
Washington, June 14-19, 2020. [pdf]
|
15.
|
Zitong Yu, Yunxiao Qin, Xiaqing Xu, Chenxu Zhao,
Zezheng Wang, Zhen Lei,
Guoying Zhao, “AUTO-FAS: SEARCHING LIGHTWEIGHT NETWORKS FOR FACE
ANTI-SPOOFING”, in Proceedings of
the 45th International Conference on Acoustics, Speech, and Signal
Processing, (ICASSP 2020), Barcelona, May 4-8, 2020. [pdf]
|
16.
|
Yuxiao Qin, Chenxu Zhao,
Xiangyu Zhu, Zezheng Wang, Zitong Yu, Tianyu Fu, Feng Zhou, Jingping Shi,
Zhen Lei, “Learning Meta Model
for Zero- and Few-shot Face Anti-spoofing”, in Proceedings of the
Thirty-Fourth AAAI Conference on Artificial Intelligence, (AAAI 2020),
New York, New York USA, February 7–12, 2020. [pdf]
|
17.
|
Jinchuan Xiao, Yinhang Tang, Jianzhu Guo, Yang
Yang, Xiangyu Zhu, Zhen Lei,
Stan Z. Li. 3DMA: A Multi-modality 3D Mask Face Anti-spoofing Database.
In Proceedings of The 16-th IEEE
International Conference on Advanced Video and Signal-based Surveillance
(AVSS2019), Taipei, Taiwan,
September 18-21, 2019. [pdf]
|
18.
|
Jianzhu Guo, Xiangyu Zhu, Jinchuan Xiao, Zhen Lei, Genxun Wan, Stan Z. Li,
“Improving Face Anti-Spoofing by 3D Virtual Synthesis”, In Proceedings of the 12th IAPR International
Conference on Biometrics, (ICB2019).
Crete, Greece, June 4-7, 2019. [pdf]
|
19.
|
Jianwei Yang, Zhen
Lei, Dong Yi, Stan Z. Li. “Person-Specific Face Anti-Spoofing with
Subject Domain Adaptation”. IEEE Transactions on
Information Forensics and Security, 10(4):
797-809, April, 2015.[pdf]
|
20.
|
Jianwei
Yang, Zhen Lei, Shengcai Liao,
Stan Z. Li. “Face Liveness Detection with Component Dependent
Descriptor”. In Proceedings of the
6th IAPR International Conference on Biometrics, (ICB2013). Madrid, Spain, June 4-7, 2013. [pdf]
|
21.
|
Tao
Wang, Jianwei Yang, Zhen Lei,
Shengcai Liao, Stan Z. Li. “Face Liveness Detection Using 3D Structure
Recovered from a Single Camera”. In Proceedings
of the 6th IAPR International Conference on Biometrics, (ICB2013). Madrid, Spain, June
4-7, 2013. [pdf]
|
22.
|
Junjie
Yan, Zhiwei Zhang, Zhen Lei,
Dong Yi, Stan Z. Li. “Face Liveness Detection by Exploring Multiple
Scenic Clues”. In Proceedings of 12th
International Conference on Control, Automation, Robotics and Vision,
(ICARCV2012). Guangzhou, China, December 5-7, 2012. [pdf]
|
23.
|
Zhiwei
Zhang, Junjie Yan, Sifei Liu, Zhen
Lei, Dong Yi, Stan Z. Li. "A Face Antispoofing Database with
Diverse Attacks". In Proceedings
of The 5th IAPR International Conference on Biometrics (ICB 2012),
New Delhi, India, 2012.[pdf]
|
24.
|
Zhiwei Zhang, Dong Yi, Zhen Lei, Stan Li. “Face Liveness Detection by Learning Multispectral
Reflectance Distributions”, In Proceedings of IEEE International Conference on Automatic Face
& Gesture Recognition, (FG2011). Santa Barbara, CA, March, 2011. [pdf]
|
Face,
Pedestrian Attribute Analysis
1.
|
Zenghao Bao, Yutian Luo,
Zichang Tan, Jun Wan, Xibo Ma, Zhen Lei, “Deep domain-invariant
learning for facial age estimation”, Neurocomputing 534: 86-93,
2023.
|
2.
|
Zenghao Bao, Zichagn Tan, Jun
Wan, Xibo Ma, Guodong Guo, Zhen Lei, “Divergence-driven
Consistency Training for Semi-Supervised Facial Age Estimation”, IEEE
Transactions on Information Forensics and Security,
accepted, 2022
|
3.
|
Zenghao Bao, Zichang Tan, Yu
Zhu, Jun Wan, Xibo Ma, Zhen Lei,
Guodong Guo, “LAE: Long-tailed Age Estimation”, Computer Analysis of Images and Patterns(CAIP), pp 308-316,
2021.
|
4.
|
Yang Yang, Zichang Tan,
Prayag Tiwari, Hari, Mohan Pandey, Jun Wan, Zhen Lei, Guodong Guo,
Stan Z. Li, “Cascaded Split-and-Aggregate Learning with Feature
Recombination for Pedestrian Attribute Recognition”, International
Journal of Computer Vision, 129, 2731-2744, 2021.
|
5.
|
Jun Weng, Yang Yang, Zichang
Tan, Zhen Lei, “Attentive
Hybrid Feature with Two-Step Fusion for Facial Expression Recognition” , In
Proceedings of International
Conference on Pattern Recognition, (ICPR2020). Virtual-Milano,
January 10-15, 2021.
|
6.
|
Zichang
Tan, Jun Wan, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li,
"Efficient Group-n Encoding and Decoding for Facial Age
Estimation", IEEE Transaction
on Pattern Analysis and Machine Intelligence, 40(11):2610-2623, 2018. [pdf]
|
7.
|
Jun
Wan, Zichang Tan, Zhen Lei, Guodong Guo, Stan Z. Li, "Auxiliary Demographic Information Assisted Age Estimation
with Cascaded Structure", IEEE Transactions on Cybernetics, 48(9),
2531-2541, 2018. [pdf]
|
8.
|
Jianzhu
Guo, Zhen Lei, Jun Wan, Egils Avots, Noushin Hajarolasvadi, Boris
Knyazev, Artem Kuharenko, Julio C. Silveira Jacques Junior, Xavier Baró,
Hasan Demirel, Sergio Escalera, Jüri Allik, Gholamreza Anbarjafari,
“Dominant and Complementary Emotion Recognition From Still Images of
Faces”, IEEE Access, 6(1),
26391-26403, 2018. [pdf]
|
9.
|
Jianzhu
Guo, Shuai Zhou, Jinlin Wu, Jun Wan, Xiangyu Zhu, Zhen Lei, Stan Z. Li "Multi-modality Network with
Visual and Geometrical Information for Micro Emotion Recognition",
Winner of Joint Challenge on
Dominant and Complementary Emotion Recognition Using Micro Emotion
Features and Head, in conjunction with FG2017, Washington, DC. May 30
–June 3, 2017. [pdf]
|
10.
|
Zichang
Tan, Shuai Zhou, Jun Wan, Zhen Lei,
Stan Z. Li. “Age Estimation Based on A Single Network with Soft Softmax
of Aging Modeling”. In Proceedings
of 13th Asian
Conference on Computer Vision (ACCV2016).Taipei,
November 20-24, 2016.[pdf]
|
11.
|
Ting Liu, Jun Wan, Tingzhao Yu, Zhen Lei, Stan Z. Li. “Age
Estimation based on Multi-Region Convolutional Neural Network”.
In
Proceedings of the 11th Chinese
Conference on Biometrics, (CCBR2016).
Chengdu, China, Oct. 14-16, 2016.[pdf]
|
12.
|
Jianqing
Zhu, Shengcai Liao, Dong Yi, Zhen
Lei, Stan Z. Li. “Multi-label CNN Based Pedestrian Attribute Learning
for Soft Biometrics”, In Proceedings
of the 8th IAPR International Conference on Biometrics, (ICB2015). Phuket, Thailand, May
19-22, 2015. [pdf] IAPR Best Biometrics Student Paper Award
|
13.
|
Ting
Liu, Zhen Lei, Jun Wan, Stan
Z. Li. “DFDnet: Discriminant Face Descriptor Network for Facial Age
Estimation”, In Proceedings
of the 10th Chinese Conference on Biometrics, (CCBR2015). Tianjin, China, Nov. 13-15, 2015.
[pdf]
|
14.
|
Dong
Yi, Zhen Lei, Stan Z. Li. “Age
Estimation by Multi-scale Convolutional Network”. In Proceedings of 12th Asian Conference on Computer
Vision (ACCV2014). Singapore, November 1-5, 2014. [pdf]
|
15.
|
Dong
Cao, Zhen Lei, Zhiwei Zhang,
Jun Feng, Stan Z. Li. “Human Age Estimation Using Ranking SVM”. In Proceedings of 7th Chinese
Conference on Biometric Recognition (CCBR2012). Guangzhou, China,
December 4-5, 2012.
|
16.
|
Jitao Sang, Zhen
Lei, Stan Z. Li. “Face Image Quality Evaluation for
ISO/IEC Standards 19794-5 and 29794-5”. In
Proceedings of IAPR/IEEE International Conference on Biometrics,
(ICB-2009). Alghero,
Italy,
June 2009. [pdf]
|
Object
Tracking
1.
|
Longyin Wen, Dawei Du,
Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim,
Ming-Hsuan Yang, Siwei Lyu, “UA-DETRAC: A new benchmark and protocol for
multi-object detection and tracking”, Comput. Vis. Image Underst.
193: 102907, 2020. [pdf]
|
2.
|
Longyin Wen, Zhen Lei, Ming-Ching Chang, Honggang Qi, Siwei Lyu.
“Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph”. International Journal of Computer
Vision (IJCV), Volume 122, Issue 2, pp 313–333, April 2017. [pdf]
|
3.
|
Longyin
Wen, Zhen Lei, Siwei Lyu, Stan Z. Li, Ming-Hsuan Yang. “Exploiting Hierarchical Dense Structures on
Hypergraphs for Multi-Object Tracking”, IEEE Transaction on Pattern
Analysis and Machine Intelligence, 38(10):1983-1996,
2016. [pdf]
|
4.
|
Zhaowei Cai, Longyin
Wen, Zhen Lei, Nuno Vasconcelos, Stan Z. Li. “Robust Deformable
and Occluded Object Tracking With Dynamic Graph”. IEEE Transaction on Image Processing, 23(12): 5497-5509,
December, 2014. [pdf]
|
5.
|
Longyin Wen, Zhaowei Cai, Zhen Lei,
Dong Yi, Stan Z. Li. “Robust Online Learned Spatio-Temporal Context Model
for Visual Tracking”, IEEE
Transaction on Image Processing, 23(2): 785-796, February, 2014. [pdf]
|
6.
|
Longyin
Wen, Dawei Du, Zhen Lei, Stan
Z. Li, Ming-Hsuan Yang. “JOTS: Joint Online Tracking and Segmentation”,
In Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2015).Boston, June 7-12, 2015. [pdf]
|
7.
|
Wenbo
Li, Longyin Wen, Mooi Choo Chuah, Yi Zhang, Zhen Lei, Stan Z. Li. "Online Visual Tracking using
Temporally Coherent Part Clusters". In Proceedings of 2015 IEEE Winter Conference on Applications of
Computer Vision (WACV 2015). Waikoloa Beach, Hawaii, January 6-9,
2015.[pdf]
|
8.
|
Longyin
Wen, Zhaowei Cai, Dawei Du, Zhen
Lei, Stan Z. Li. “Learning Discriminative Hidden Structural Parts for
Visual Tracking”, In Workshop on
Feature and Similarity Learning for Computer Vision (FSLCV), in
conjunction with ACCV2014, Singapore, November 1-5, 2014.[pdf]
|
9.
|
Longyin
Wen, Wenbo Li, Junjie Yan, Zhen
Lei, Dong Yi, Stan Z. Li. “Multiple Target Tracking Based on
Undirected Hierarchical Relation Hypergraph”. In Proceedings of 27th IEEE International Conference on Computer
Vision and Pattern Recognition, (CVPR2014). Columbus, Ohio, June
23-28, 2014.[pdf]
|
10.
|
Zhaowei
Cai, Longyin Wen, Dong Cao, Zhen
Lei, Dong Yi, Stan Z. Li. “Person-Specific Face Tracking with Online
Recognition”. In Proceedings of the
10th IEEE International Conference on Automatic Face and Gesture
Recognition, (FG2013). Shanghai, China, April 22-26, 2013.[pdf]
|
11.
|
Zhaowei
Cai, Longyin Wen, Jianwei Yang, Zhen
Lei, Stan Z. Li. “Structured Tracking with Dynamic Graph”. In Proceedings of 11th Asian
Conference on Computer Vision (ACCV2012). Daejeon, Korea, November
5-9, 2012. [pdf]
|
12.
|
Longyin
Wen, Zhaowei cai, Zhen Lei,
Dong Yi, Stan Z. Li. “Online Spatio-Temporal Structural Context Learning
for Visual Tracking”. In Proceedings
of 12th European Conference on Computer Vision, (ECCV2012).
Firenze, Italy, October 7-13, 2012.
[pdf]
|
13.
|
Longyin
Wen, Zhaowei cai, Menglong Yang, Zhen
Lei, Dong Yi, Stan Z. Li. “Online Multiple Instance Joint Model for
Visual Tracking”. In Proceedings of
IEEE International Conference on Advanced Video and Signal-Based
Surveillance, (AVSS2012). Beijing, China, September 18-21, 2012. [pdf]
|
Object,
Person Re-identification and Video Analysis
1.
|
Benzhi Wang, Yang Yang,
Jinlin Wu, Guo-jun Qi, Zhen Lei, “Self-similarity Driven
Scale-invariant Learning for Weakly Supervised Person Search”, In
ICCV2023, Paris, France, 2-6, Oct. 2023.
|
2.
|
Benjia Zhou, Zhigang Chen, Albert
Clapes, Jun Wan, Yanyan Liang, Sergio Escalera, Zhen Lei, Du
Zhang, “Gloss-free Sign Language Translation: Improving from
Visual-Language Pretraining”, In ICCV2023, Paris, France,
2-6, Oct. 2023.
|
3.
|
Jinlin Wu, Yuxin Yang, Zhen
Lei, Yang Yang, Shukai Chen, Stan Z. Li, “Camera-aware representation
learning for person re-identification”. Neurocomputing 518: 155-164, 2023
|
4.
|
Jinlin Wu, Lingxiao He, Wu
Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li, “CAViT: Contextual
Alignment Vision Transformer for Video Object Re-identification”, In Proceedings of 17th
European Conference on Computer Vision, (ECCV2022),
Oct. 23-27, 2022.
|
5.
|
Benjia Zhou, Pichao Wang, Jun
Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin, “Decoupling and Recoupling Spatiotemporal
Representation for RGB-D-based Motion Recognition”, In
Proceedings of IEEE
International Conference on Computer Vision and Pattern Recognition,
(CVPR2022). New
Orleans, Louisiana, June 19-24, 2022.
|
6.
|
Yang Yang, Guan’an Wang,
Prayag Tiwari, Hari, Mohan Pandey, Zhen Lei, “Pixel and Feature
Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification”, IEEE
Transactions on Neural Networks and Learning Systems, accepted, 01
December 2021.
|
7.
|
Jinlin Wu, Yang Yang, Zhen Lei, Jinqiao Wang, Stan Z.
Li, Prayag Tiwari, Hari Mohan Pandey, “An end-to-end exemplar association
for unsupervised person Re-identification”, Neural Networks, 129:43-54, 2020. [pdf]
|
8.
|
Jianqing Zhu, Huanqiang Zeng,
Jingchang Huang, Xiaobin Zhu, Zhen
Lei, Canhui Cai, Lixin Zheng, “Body Symmetry and Part-Locality-Guided
Direct Nonparametric Deep Feature Enhancement for Person
Reidentification”, IEEE Internet
Things Journal, 7(3), 2053-2065, 2020. [pdf]
|
9.
|
Jianqing Zhu, Huanqiang Zeng,
Jingchang Huang, Shengcai Liao, Zhen
Lei, Canhui Cai, Lixin Zheng, “Vehicle Re-Identification Using
Quadruple Directional Deep Learning Features”, IEEE Transactions on Intelligent Transportation Systems,
21(1): 410-420, 2020. [pdf]
|
10.
|
Jianqing Zhu, Jingchang Huang,
Huanqiang Zeng, Xiaoqing Ye, Baoqing Li, Zhen Lei, Lixing Zheng, “Object Reidentification via Joint
Quadruple Decorrelation Directional Deep Networks in Smart
Transportation”, IEEE Internet
Things Journal, 7(4), 2944-2954, 2020. [pdf]
|
11.
|
Chuan-Xian Ren, Bo-Hua Liang,
Pengfei Ge, Yiming Zhai, Zhen Lei,
“Domain Adaptive Person Re-Identification via Camera Style Generation and
Label Propagation”. IEEE Transactions on Information
Forensics and Security, 15, 1290-1302, 2020.
|
12.
|
Chuan-Xian Ren, Xiao-Lin Xu, Zhen Lei, “A Deep and Structured
Metric Learning Method for Robust Person Re-Identification”, Pattern Recognition, 96, 2019.
|
13.
|
Jinlin
Wu, Yang Yang, Hao Liu, Shengcai Liao, Zhen Lei, Stan Z. Li, “Unsupervised Graph Association for
Person Re-identification”, In Proceedings
of IEEE International Conference on Computer Vision, (ICCV2019).
Seoul, Korea, Oct. 27-Nov. 2, 2019. [pdf]
|
14.
|
Jinlin
Wu, Shengcai Liao, Zhen Lei,
Xiaobo Wang, Yang Yang, Stan Z. Li. “Clustering and Dynamic Sampling
Based Unsupervised Domain Adaption for Person Re-identification”, In Proceedings of IEEE International
Conference on Multimedia and Expo, (ICME 2019), Shanghai , China,
July 8-12, 2019. [pdf]
|
15.
|
Yang
Yang, Zhen Lei, Jinqiao Wang,
Stan Z. Li, “In Defense of Color Names for Small-Scale Person
Re-Identification”, In Proceedings
of the 12th IAPR International Conference on Biometrics, (ICB2019).
Crete, Greece, June 4-7, 2019. [pdf]
|
16.
|
Hongsheng Wang, Yang Yang, Shengcai
Liao, Dong Cao, Zhen Lei.
Similarity Scores Based Re-classification for Open-Set Person
Re-identification. In Proceedings of the 14th Chinese Conference on Biometrics, (CCBR2019). Hunan, China, October
12-13, 2019.
|
17.
|
Jianqing Zhu,Huanqiang
Zeng, Yongzhao Du, Zhen Lei, Lixin Zheng, Canhui Cai, “Joint
Feature and Similarity Deep Learning for Vehicle Re-identification”, IEEE Access, 6(1), 43724-43731,
2018.
|
18.
|
Xiaobo Wang, Zhen Lei,
Shengcai Liao, Xiaojie Guo, Yang Yang, Stan Z. Li, “Dependence-Aware
Feature Coding for Person Re-Identification”, IEEE Signal Processing Letters, 25(4), 506-510, 2018. [pdf]
|
19.
|
Jianqing Zhu, Huanqiang
Zeng, Shengcai Liao, Zhen Lei, Canhui Cai, Lixin Zheng, “Deep
Hybrid Similarity Learning for Person Re-identification”, IEEE
Transaction on Circuits and Systems for Video Technology, 28(11), 3183-3193,
2018. [pdf]
|
20.
|
Jianqing
Zhu, Huanqiang Zeng, Zhen Lei,
Shengcai Liao, Lixin Zheng, Canhui Cai. “A Shortly and Densely Connected
Convolutional Neural Network for Vehicle Re-identification”. In Proceedings of International
Conference on Pattern Recognition, (ICPR2018). Beijing, China, August
20-24, 2018. [pdf]
|
21.
|
Jianqing Zhu, Shengcai
Liao, Zhen Lei, Stan Z. Li, “Multi-label convolutional neural
network based pedestrian attribute classification”, Image
and Vision Computing,vol 58:
224-229, 2017. [pdf]
|
22.
|
Hailin
Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Weishi Zheng, Stan Z. Li. “Embedding Deep Metric
for Person Re-identifi
cation: A Study Against Large Variations”. In Proceedings of European Conference on Computer Vision, (ECCV2016).
Amsterdam, Oct. 8-16, 2016.
[pdf]
|
23.
|
Yang
Yang, Zhen Lei, Shifeng Zhang,
Hailin Shi, Stan Z. Li. “Metric Embedded Discriminative Vocabulary
Learning for High-Level Person Representation”, in Proceedings of the Thirtieth AAAI Conference on Artificial
Intelligence, (AAAI 2016), Phoenix, Arizona USA, February 12–17,
2016. [pdf]
|
24.
|
Yang
Yang, Shengcai Liao, Zhen Lei,
Stan Z. Li. “Large Scale Similarity Learning Using Similar Pairs for
Person Verification”, in Proceedings
of the Thirtieth AAAI Conference on Artificial Intelligence, (AAAI 2016),
Phoenix, Arizona USA, February 12–17, 2016. [pdf]
|
25.
|
Hong Han, Jianfei Zhu, Shengcai Liao, Zhen
Lei, Stan Z. Li. “Moving Object Detection Revisited: Speed and
Robustness”. IEEE Transaction on
Circuits and Systems for Video Technology, 25(6): 910-921, June,
2015. [pdf]
|
26.
|
Jianqing Zhu, Shikun Feng, Dong Yi, Shengcai
Liao, Zhen Lei, Stan Z. Li. “High Performance Video Condensation
System”. IEEE Transaction on
Circuits and Systems for Video Technology, 25(7): 1113-1124, July,
2015. [pdf]
|
27.
|
Jianqing
Zhu, Shengcai Liao, Zhen Lei,
Stan Z. Li. “Improve Pedestrian Attribute Classification by Weighted
Interactions from Other Attributes”, In Workshop on Human Identification for Surveillance (HIS), in
conjunction with ACCV2014, Singapore, November 1-5, 2014.[pdf]
|
28.
|
Yang
Hu, Dong Yi, Shengcai Liao, Zhen
Lei, Stan Z. Li. “Cross Dataset Person Re-identification”. In Workshop on Human Identification for
Surveillance (HIS), in conjunction with ACCV2014, Singapore, November
1-5, 2014.[pdf]
|
29.
|
Dong
Yi, Zhen Lei, Shengcai Liao,
Stan Z. Li. “Deep Metric Learning for Person Re-Identification”. In Proceedings of International
Conference on Pattern Recognition, (ICPR2014). Sweden, August 24-28,
2014.[pdf]
|
30.
|
Yang
Yang, Shengcai Liao, Zhen Lei,
Dong Yi, Stan Z. Li. “Color Models and Weighted Covariance Estimation for
Person Re-Identification”. In Proceedings
of International Conference on Pattern Recognition, (ICPR2014).
Sweden, August 24-28, 2014.[pdf]
|
31.
|
Yang
Hu, Shengcai Liao, Dong Yi, Zhen
Lei, Stan Z. Li. “Multi-Camera Trajectory Mining: Database and
Evaluation”. In Proceedings of
International Conference on Pattern Recognition, (ICPR2014). Sweden,
August 24-28, 2014.[pdf]
|
32.
|
Jianqing
Zhu, Shengcai Liao, Zhen Lei,
Dong Yi, Stan Z. Li, “Pedestrian Attribute Classification in
Surveillance: Database and Evaluation”. In ICCV workshop on Large-Scale Video Search and Mining, Sydney,
Australia, December 1-8, 2013.[pdf]
|
33.
|
Yang
Hu, Shengcai Liao, Zhen Lei,
Dong Yi, Stan Z. Li. “Exploring
Structural Information and Fusing Multiple Features for Person
Re-identification”. In IEEE
Workshop on Camera Networks and
Wide Area Scene Analysis (in
conjunction with CVPR 2013).
Portland, Oregon, June 23-28, 2013. [pdf]
|
34.
|
Jianwei
Yang, Zhaowei Cai, Longyin Wen, Zhen
Lei, Guodong Guo, Stan Z. Li. “A New Projection Space for Separation
of Specular and Diffuse Reflection Components in Color Images”. In Proceedings of 11th Asian
Conference on Computer Vision (ACCV2012). Daejeon, Korea, November
5-9, 2012. [pdf]
|
35.
|
Jianwei
Yang, Shizheng Wang, Zhen Lei,
Yanyun Zhao, Stan Z. Li. “Spatio-Temporal LBP based Moving Object
Segmentation in Compressed Domain”. In Proceedings of IEEE International Conference on Advanced Video
and Signal-Based Surveillance, (AVSS2012). Beijing, China, September
18-21, 2012. [pdf]
|
36.
|
Xucong
Zhang, Junjie Yan, Shikun Feng, Zhen
Lei, Dong Yi, Stan Z. Li. “Water Filling: Unsupervised People
Counting via Vertical Kinect Sensor”. In Proceedings of IEEE International Conference on Advanced Video
and Signal-Based Surveillance, (AVSS2012). Beijing, China, September
18-21, 2012. [pdf]
|
37.
|
Shikun
Feng, Zhen Lei, Dong Yi, Stan
Z. Li. “Online Content-aware Video Condensation”. In Proceedings
of IEEE International Conference on Computer Vision and Pattern
Recognition, (CVPR2012).Providence,
Rhode island, June 16-21, 2012.[pdf]
|
38.
|
Rui Qin, Shengcai Liao, Zhen Lei, Stan Z. Li. “Moving Cast
Shadow Removal Based on Local Descriptors”, In Proceedings of 20th International Conference on
Pattern Recognition. Istanbul, Turkey, August 23-26, 2010. [pdf]
|
39.
|
Jitao Sang, Zhen Lei, Shengcai Liao, Stan Z.
Li. “Adaptive
Object Classification in Surveillance System by Exploiting Scene
Context”. In 1st International
Workshop on Visual Scene Understanding (ViSU’09, in conjunction with CVPR 2009). Miami,
Florida, June, 2009.
[pdf]
|
Professional
Activities
² Invited
Speaker, on Human-centric
Trustworthy Computer Vision From Research to Applications (ICCV2021
workshop)
² Invited
Speaker, on 2021 10th International Conference
on Computing and Pattern Recognition (ICCPR 2021)
² Tutorial,
on International Joint Conference
on Biometrics (IJCB 2021)
² Keynote
Speaker, “Face Recognition - Research and Recent Advances”, on ICB-2019
² Invited
Speaker, “Face Recognition – Recent Advances and Future Direction”, on WISE 2019
² Keynote
Speaker, “Multispectral Methods for Biometric Anti-spoofing” on 2011 FP7 RISE Beijing
Conference.
² Associate
Editor, IEEE
Transactions on Biometrics, Behavior, and Identity Science (T-BIOM),
from Jan 1, 2023
² Associate
Editor, IEEE
Transactions on Information Forensics and Security (TIFS), from July
2022
² Associate
Editor, Pattern
Recognition, from 2021
² Associate
Editor, IET
Computer Vision, from 2019
² Associate
Editor, Neurocomputing,
from 2017
² Area
Chair, ECCV 2022
² Competition
Co-Chair, INTERNATIONAL JOINT CONFERENCE
ON BIOMETRICS (IJCB 2022)
² Area
Chair, INTERNATIONAL JOINT CONFERENCE ON
BIOMETRICS (IJCB 2022)
² Area
Chair, 26th International
Conference on Pattern Recognition (ICPR 2022)
² Area
Chair, IEEE 9th
International Conference on Biometrics: Theory, Applications and
Systems (BTAS 2018)
² Area
Chair, 11th IAPR International
Conference on Biometrics (ICB 2018)
² Area
Chair, IAPR/IEEE International
Conference on Biometric (ICB 2016)
² Area
Chair, IAPR/IEEE International Conference on
Biometric (ICB 2015)
² Area
Chair, 11th IEEE International
Conference on Automatic Face and Gesture Recognition (FG 2015)
² Area
Chair, International Joint Conference on
Biometrics (IJCB 2014)
² Publicity
Co-Chair, 10th IEEE International
Conference on Advanced Video and Signal-Based Surveillance
(AVSS-2013)
² Program
Committee,
International Joint Conference on Biometrics (IJCB 2017)
² Program
Committee, 8th
IEEE International Conference on Biometrics: Theory, Applications, and
Systems (BTAS 2016)
² Program
Committee, 10th IEEE
International Conference on Automatic Face and Gesture Recognition (FG
2013)
² Program
Committee, 1st ACCV Workshop
on Computer Vision with Local Binary Pattern Variants (LBP 2012)
² Program
Committee, International Conference on
Informatics, Electronics & Vision (ICIEV12)
² Review
for Electronics
Letters, from 2017
² Review
for Information
Fusion, from 2017
² Review
for ACM Transactions on Multimedia
Computing, Communications, and Applications (TOMM), from 2017
² Review
for IEEE
Signal Processing Magazine, from 2016
² Review
for International
Journal of Machine Learning and Cybernetics, from 2016
² Review
for IEEE
Transactions on Systems, Man, and Cybernetics: Systems (TSMC-A), from
2015
² Review
for IEEE
Access, from 2015
² Review
for Information
Sciences (SCIENCE CHINA), from 2015
² Review
for IEEE
Transactions on Neural Networks and Learning Systems (T-NNLS), from
2014
² Review
for International Journal
of Computer Vision (IJCV), from 2014
² Review
for Computer
Vision and Image Understanding (CVIU), from 2014
² Review
for Image
and Vision Computing, from 2013
|