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Jiwen Lu

Jiwen Lu
Jiwen Lu
Adjunct Research Scientist
 

Jiwen Lu is an Adjunct Research Scientist at the Advanced Digital Sciences Center (ADSC), Singapore. He received the B.Eng. degree in mechanical engineering and the M.Eng. degree in electrical engineering from the Xi'an University of Technology, Xi'an, China, in 2003 and 2006, respectively, and the Ph.D. degree in electrical engineering from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2011. His research interests include computer vision, pattern recognition, and machine learning. He has authored/co-authored over 100 scientific papers in these areas, where more than 30 papers were published in IEEE Transactions Journals (T-PAMI/T-IP/T-CSVT/T-IFS) and top-tier computer vision conferences (ICCV/CVPR/ECCV). He serves as an Area Chair for ICME 2015 and ICB 2015, and a Special Session Chair for VCIP 2015. Recently, he gives tutorials at CVPR 2015, FG 2015, ACCV 2014, ICME 2014 and IJCB 2014.

Research Interests: Computer vision, pattern recognition, machine learning, biometrics

ADSC Project:

Education:

  • 2003: B.Eng. (Mechanical engineering), Xi'an University of Technology, China
  • 2006: M.Eng. (Electronic engineering), Xi'an University of Technology, China
  • 2011: Ph.D. (Electrical and Electronic Engineering), Nanyang Technological University, Singapore

Experience:

  • Assistant Lecturer, Xi'an University of Technology, Xi'an, China (July 2003 to July 2007).

Publications:

Selected Journal Papers:

  1. Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, and Jie Zhou, Learning compact binary face descriptor for face recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, accepted.
  2. Jiwen Lu, Gang Wang, and Pierre Moulin, Localized multi-feature metric learning for image set based for face recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2015, accepted.
  3. Jiwen Lu, Venice Erin Liong, Gang Wang, and Pierre Moulin, Joint feature learning for face recognition, IEEE Transactions on Information Forensics and Security, 2015, accepted.
  4. Haibin Yan, Jiwen Lu, and Xiuzhuang Zhou, Prototype-based discriminative feature learning for kinship verification, IEEE Transactions on Cybernetics, 2015, accepted.
  5. Jiwen Lu, Gang Wang, Weihong Deng, and Kui Jia, Reconstruction-based metric learning for unconstrained face verification, IEEE Transactions on Information Forensics and Security, vol. 10, no. 1, pp. 79-89, 2015.
  6. Yi Jin, Jiwen Lu, and Qiuqi Ruan, Coupled discriminative feature learning for heterogeneous face recognition, IEEE Transactions on Information Forensics and Security, vol. 10, no. 3, pp. 640-652, 2015.
  7. Weihong Deng, Jiani Hu, Jiwen Lu, and Jun Guo, Transform-invariant PCA: a unified approach to fully automatic face alignment, representation, and recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 6, pp. 1275-1284, 2014.
  8. Jiwen Lu, Gang Wang, and Pierre Moulin, Human identity and gender recognition from gait sequences with arbitrary walking directions, IEEE Transactions on Information Forensics and Security, vol. 9, no. 1, pp. 41-51, 2014.
  9. Haibin Yan, Jiwen Lu, Weihong Deng, and Xiuzhuang Zhou, Discriminative multimetric learning for kinship verification, IEEE Transactions on Information Forensics and Security, vol. 9, no. 7, pp. 1169-1178, 2014.
  10. Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, and Jie Zhou, Neighborhood repulsed metric learning for kinship verification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 2, pp. 331-345, 2014.
  11. Jiwen Lu, Yap-Peng Tan, Gang Wang, Gao Yang, Image-to-set face recognition using locality repulsion projections and sparse reconstruction-based similarity measure, IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 6, pp. 1070-1080, 2013.
  12. Jiwen Lu, Yap-Peng Tan, Gang Wang, Discriminative multimanifold analysis for face recognition from a single training sample per person, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, no. 1, pp. 39-51, 2013.
  13. Jiwen Lu, Yap-Peng Tan, Cost-sensitive subspace analysis and extensions for face recognition, IEEE Transactions on Information Forensics and Security, vol. 8, no. 3, pp. 510-519, 2013.
  14. Jiwen Lu, Yap-Peng Tan, Ordinary preserving manifold analysis for human age and head pose estimation, IEEE Transactions on Human-Machine Systems, vol. 43, no. 2, pp. 249-258, 2013.
  15. Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, Jie Zhou, Cost-sensitive semi-supervised discriminant analysis for face recognition", IEEE Transactions on Information Forensics and Security, vol. 7, no. 3, pp. 944-953, 2012.
  16. Xiuzhuang Zhou, Yao Lu, Jiwen Lu, Jie Zhou, Abrupt motion tracking via intensively adaptive Markov chain Monte Carlo sampling, IEEE Transactions on Image Processing, vol. 21, no. 2, pp. 789-801, 2012.
  17. Jiwen Lu, Yap-Peng Tan, Gait-based human age estimation, IEEE Transactions on Information Forensics and Security, vol. 5, no. 4, 761-770, 2010.
  18. Jiwen Lu, Yap-Peng Tan, A doubly weighted approach for appearance-based subspace learning methods, IEEE Transactions on Information Forensics and Security, vol. 5, no. 1, pp. 71-81, 2010.
  19. Jiwen Lu, Yap-Peng Tan, Regularized locality preserving projections and its extensions for face recognition", IEEE Transactions on Systems, Man, and Cybernetics: Part B, vol. 40, no. 3, pp. 958-963, 2010.

Selected Conference Papers:

  1. Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multi-manifold deep metric learning for image set classification, CVPR, 2015.
  2. Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou, Deep hashing for compact binary codes learning, CVPR, 2015.
  3. Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep transfer metric learning, CVPR, 2015.
  4. Jiwen Lu, Gang Wang, Weihong Deng, and Pierre Moulin, Simultaneous feature and dictionary learning for image set based face recognition, ECCV, 2014.
  5. Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, and Shenghua Gao, Efficient sparse estimation via marginal-lasso coding, ECCV, 2014.
  6. Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, and Tat Jen Cham, Multi-modal unsupervised feature learning for RGB-D scene labeling, ECCV, 2014.
  7. Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Discriminative deep metric learning for face verification in the wild, CVPR, 2014.
  8. Jiwen Lu, Gang Wang, and Pierre Moulin, Image set classification using holistic multiple order statistics features and localized multi-kernel metric learning, ICCV, 2013.
  9. Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, and Yap-Peng Tan, Robust feature set matching for partial face recognition,ICCV, 2013.
  10. Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, Gang Wang, Neighborhood repulsed metric learning for kinship verification, CVPR, 2012.
  11. Jiwen Lu, Yap-Peng Tan, Gang Wang, Discriminative multi-manifold analysis for face recognition from a single training sample per person,ICCV, 2011.
  12. Jiwen Lu, Yap-Peng Tan, Cost-sensitive subspace learning for face recognition, CVPR, 2010.

Awards:

 

  • Top 10% Best Paper Award of IEEE MMSP, 2014
  • Best Paper Award Candidate of IEEE ICME, 2013
  • Best Student Paper Award of Pattern Recognition and Machine Intelligence Association, Singapore, 2012
  • Best Student Paper Award Finalist of IEEE ICME, 2011
  • Doctoral Consortium Student Travel Award of IEEE CVPR, 2010
  • 2nd Prize of the Challenge-cup Extracurricular and Academic Contest of Shannxi Province, 2007
  • Outstanding College Student of Shaanxi Province, China, 2003
  • National Outstanding Student, Ministry of Education, China, 2003 (highest honor for Chinese student)
  • 1st Prize of National Scholarship, Ministry of Education, China, 2003
  • 2nd Prize of China Undergraduate Mathematical Contest in Modeling, Ministry of Education, China, 2002
  • 1st Prize of China Undergraduate Mathematical Contest in Modeling of Shannxi Province, China, 2001