Welcome!

Shanshan ZHANG (张姗姗)

Professor
School of Computer Science and Engineering
Nanjing University of Science and Technology
Xiaolingwei 200, Nanjing 210094, China

Email: shanshan [dot] zhang [at] njust.edu.cn

Research interests
Computer vision, pattern recognition, deep learning, and particularly applications for autonomous driving and video surveillance.

I'm looking for self-motivated Master and PhD students!

Short bio
Shanshan Zhang received the B.E. and M.E. degrees from Tongji University, China, in 2008 and 2011 respectively. In Feb. 2015, she obtained the PhD degree in computer science from University of Bonn, Germany, under the supervision of Prof. Armin B. Cremers and Prof. Christian Bauckhage. Her PhD thesis won honorable mention for GI-Dissertationspreis 2015. From Jan. 2015 to Dec. 2016, she worked as a postdoc researcher with Prof. Bernt Schiele at Max Planck Institute of Informatics (MPII), Saarbruecken, Germany.  In 2010, she was an intern working with Prof. Shin'ichi Satoh at National Institute of Informatics (NII), Japan. She joined NJUST as a full professor in Dec. 2016.

News
  • Our paper was accepted to ACCV 2018! The dataset for pedestrians at night will be released soon.
  • Our paper was accepted to ECCV 2018!
  • Our paper was accepted to CVPR 2018!
  • Our paper was accepted to T-PAMI!
  • Our paper was accepted to CVPR 2017 as a spotlight presentation!


Selected Publications (Google Scholar Citations)
  • Lukas Neumann*, Michelle Karg*, Shanshan Zhang*, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, Bernt Schiele. NightOwls: A Pedestrians at Night Dataset. Asian Conference on Computer Vision (ACCV), Perth, Australia, 2018. (* equal contribution)
  • Di Chen, Shanshan Zhang*, Wanli Ouyang, Jian Yang*, Ying Tai. Person Search via A Mask-guided Two-stream CNN Model, European Conference on Computer Vision (ECCV), Munich, Germany, 2018. (* corresponding authors)
  • Shanshan Zhang, Jian Yang, Bernt Schiele. Occluded Pedestrian Detection Through Guided Attention in CNNs. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018.
  • Shanshan Zhang, Rodrigo Benenson, Mohamed Omran, Jan Hosang, Bernt Schiele. Towards Reaching Human Performance in Pedestrian Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 40(4):973-986, 2018.
  • Shanshan Zhang, Rodrigo Benenson, Bernt Schiele. CityPersons: A Diverse Dataset for Pedestrian Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, USA, 2017. (Spotlight) [Data]
  • Shanshan Zhang, Rodrigo Benenson, Mohamed Omran, Jan Hosang, Bernt Schiele. How Far are We from Solving Pedestrian Detection? IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, 2016. [Project]
  • Shanshan Zhang, Dominik A. Klein, Christian Bauckhage, Armin B. Cremers. Fast Moving Pedestrian Detection Based on Motion Segmentation and New Motion Features. Multimedia Applications and Tools (MTAP), 75(11): 6263-6282, 2016. 
  • Shanshan Zhang, Rodrigo Benenson, Bernt Schiele. Filtered Channel Features for Pedestrian Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, 2015. [Code]
  • Shanshan Zhang, Christian Bauckhage, Dominik A. Klein, Armin B. Cremers. Exploring Human Vision Driven Features for Pedestrian Detection. IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 25(10), 1709-1720, 2015. 
  • Shanshan Zhang, Christian Bauckhage, Armin B. Cremers. Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model. IEEE Transactions on Intelligent Transportation Systems (T-ITS), 16(2), 763-775, 2015.
  • Shanshan Zhang, Christian Bauckhage, Armin B. Cremers. Informed Haar-like Features Improve Pedestrian Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, 2014. 
  • Shanshan Zhang, Dominik A. Klein, Christian Bauckhage, Armin B. Cremers. Center-surround Contrast Features for Pedestrian Detection. International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014. 
  • Shanshan Zhang, Christian Bauckhage, Dominik A. Klein, Armin B. Cremers. Moving Pedestrian Detection Based on Motion Segmentation. IEEE Workshop on Robot Vision (WoRV), Clearwater, USA, 2013. (Oral)
  • Shanshan Zhang, Fuqiang Liu, Zhipeng Li. An Effective Driver Fatigue Monitoring System. IEEE International Conference on Machine Vision and Human-machine Interface (MVHI), Kaifeng, China, 2010.
  • Fuqiang Liu, Shanshan Zhang, Wenhong Zhu, Zhipeng Li. A Vision Based Lane Detection and Tracking Algorithm. Journal of Tongji University (Natural Science), 38(2): 223-229, 2010.
Professional Services
  • VALSE Online Organization Committee (VOOC)
  • PC member for
    • CVPR 2017, 2018
    • ICCV 2017
    • IJCAI 2017
    • ECCV 2016, 2018
    • ICPR 2016, 2018
    • ACPR 2017
  • Reviewer for
    • T-PAMI
    • T-IP
    • T-NNLS
    • T-ITS
    • T-CSVT
    • T-MM
    • etc.
  • VALSE 2019 Workshop Chair 
Collaborations