Long Lan

Assistant Professor Computer Vision Machine Learning
Long Lan

 

Contact

lan19901 [at] 126.com

long.lan [at] nudt.edu.cn

Long Lan (蓝龙)

the National Key Labortory of High Herformance Computing (HPCL)
School of Computer
The National University of Defense Technology

[Google Scholar] [DBLP]

Greetings! I am currently a Assistant Professor with the School of Computer at the National University of Defense Technology (NUDT).I received my B.E. degree from College of Information Engineering, Nanchang University in 2010, my M.S. and Ph.D.degrees both supervised by Prof. Zhigang Luo from School of Computer, at the National University of Defense Technology in 2012 and 2017, respectively. I was a two-year (2015-2016) visting student with the Centre for Quantum Computation and Intelligent Systems (QCIS), at the University of Technology, Sdyney (UTS) supervised by Prof. Dacheng Tao.

Research Interests

My research interests mainly lie in designing efficient learning algorithms for real world computer vision tasks

  • Visual Object Detection and Tracking (Multi-object Tracking, Video Object Detection)

  • Person Re-identification

  • Semi-supervised Learning (Non-negative Matrix Factorization)

News

  • 03/2020, a paper has been accepted by IEEE TKDE.

  • 03/2020, a paper has been accepted by IJCV.

  • 03/2020, a paper has been accepted by ICME.

  • 12/2019, I accepted the invitation to serve as an PC for IJCAI 2020.

  • 12/2019, I accepted the invitation to serve as an PC for ICME 2020.

  • 12/2019, I accepted the invitation to serve as an PC for ICDM 2020.

  • 09/2019, I accepted the invitation to serve as an PC for AAAI 2020.

Selelcted Publications

  • Semi-online Multi-people Tracking by Re-identification.
    Long Lan, Xinchao Wang, Gang Hua, Thomas S Huang, Dacheng Tao
    International Journal of Computer Vision (IJCV). To appear.

  • Label Propagation Non-negative Matrix Factorization for Clustering.
    Long Lan, Tongliang Liu, Xiang Zhang, Chuanfu Xu, Zhigang Luo
    IEEE Transactions on Knowledge and Data Engineering (T-KDE). To appear.

  • Object-aware Semantics of Attention for Image Captioning.
    Shiwei Wang, Long Lan, Xiang Zhang, Guohua Dong, Zhigang Luo
    Multimedia Tools and Applications (MTAP), 79(3): 2013-2030, 2020.

  • GateCap: Gated spatial and semantic attention model for image captioning.
    Shiwei Wang, Long Lan, Xiang Zhang, Zhigang Luo
    Multimedia Tools and Applications (MTAP), 79(3): 1-19, 2020.

  • Maximum Mean and Covariance Discrepancy for Unsupervised Domain Adaptation.
    Wenju Zhang, Xiang Zhang, Long Lan, Zhigang Luo
    Neural Processing Letters (NPL), 51(1): 347-366, 2020.

  • Person Re-identification via Adaptive Verification Loss.
    Hui Tian, Xiang Zhang, Long Lan, Zhigang Luo
    Neurocomputing (MTAP), 359: 93-101, 2019.

  • Interacting Tracklets for Multi-object Tracking.
    Long Lan, Xinchao Wang, Shiliang Zhang, Dacheng Tao, Wen Gao, Thomas S Huang
    IEEE Transactions on Image Processing (T-IP), 27(9): 4585-4597, 2018.

  • Discrete Graph Hashing via Affine Transformation.
    Guohua Dong, Xiang Zhang, Long Lan, Xuhui Huang, Zhigang Luo
    In ICME (ICME-2019): 1-6.

  • Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization.
    Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo
    In IJCAI (IJCAI-2016): 3396-3402.

  • Activity Recognition in Still Images with Transductive Non-negative Matrix Factorization.
    Naiyang Guan, Dacheng Tao, Long Lan, Zhigang Luo, Xuejun Yang
    In ECCV workshop (ECCV-2014 Best Paper Award): 802-817.

  • Transductive Nonnegative Matrix Factorization for Semi-supervised High-performance Speech Separation.
    Naiyang Guan, Long Lan, Dacheng Tao, Zhigang Luo, Xuejun Yang
    In ICASSP (ICASSP-2014): 2534-2538.

  • Soft-constrained Nonnegative Matrix Factorization via Normalization.
    Long Lan, Naiyang Guan, Xiang Zhang, Dacheng Tao, Zhigang Luo
    In IJCNN (IJCNN-2014): 3025-3030.

See the full list here.