| CityPersons: A Diverse Dataset for Pedestrian Detection S Zhang, R Benenson, B Schiele IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 527 | 2017 |
| How far are we from solving pedestrian detection? S Zhang, R Benenson, M Omran, J Hosang, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 472 | 2016 |
| Filtered channel features for pedestrian detection S Zhang, R Benenson, B Schiele IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 438 | 2015 |
| Informed Haar-like Features Improve Pedestrian Detection S Zhang, C Bauckhage, A Cremers IEEE Conference on Computer Vision and Pattern Recognition, 947-954, 2014 | 370 | 2014 |
| Occluded Pedestrian Detection Through Guided Attention in CNNs S Zhang, J Yang, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 294 | 2018 |
| Towards reaching human performance in pedestrian detection S Zhang, R Benenson, M Omran, J Hosang, B Schiele IEEE transactions on pattern analysis and machine intelligence 40 (4), 973-986, 2018 | 171 | 2018 |
| Person Search via A Mask-Guided Two-Stream CNN Model D Chen, S Zhang, W Ouyang, J Yang, Y Tai Proceedings of the European Conference on Computer Vision (ECCV), 734-750, 2018 | 136 | 2018 |
| Integrating prediction and reconstruction for anomaly detection Y Tang, L Zhao, S Zhang, C Gong, G Li, J Yang Pattern Recognition Letters 129, 123-130, 2020 | 63 | 2020 |
| Feature affinity-based pseudo labeling for semi-supervised person re-identification G Ding, S Zhang, S Khan, Z Tang, J Zhang, F Porikli IEEE Transactions on Multimedia 21 (11), 2891-2902, 2019 | 49 | 2019 |
| NightOwls: A Pedestrians at Night Dataset L Neumann, M Karg, S Zhang, C Scharfenberger, E Piegert, S Mistr, ... Asian Conference on Computer Vision, 691-705, 2018 | 46 | 2018 |
| Norm-Aware Embedding for Efficient Person Search D Chen, S Zhang, J Yang, B Schiele Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 45 | 2020 |
| Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model S Zhang, C Bauckhage, AB Cremers IEEE Transactions on Intelligent Transportation Systems 16 (2), 753-775, 2015 | 44 | 2015 |
| Exploring Human Vision Driven Features for Pedestrian Detection S Zhang, C Bauckhage, D Klein, A Cremers IEEE Transactions on Circuits and Systems for Video Technology, 2015 | 26 | 2015 |
| Fast moving pedestrian detection based on motion segmentation and new motion features S Zhang, DA Klein, C Bauckhage, AB Cremers Multimedia Tools and Applications 75 (11), 6263-6282, 2016 | 25 | 2016 |
| A vision based lane detection and tracking algorithm in automatic drive W Zhu, F Liu, Z Li, X Wang, S Zhang 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial …, 2008 | 23 | 2008 |
| Hierarchical Online Instance Matching for Person Search D Chen, S Zhang, W Ouyang, J Yang, B Schiele Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 21 | 2020 |
| Color image watermark decoder by modeling quaternion polar harmonic transform with BKF distribution Y Liu, S Zhang, J Yang Signal Processing: Image Communication 88, 115946, 2020 | 16 | 2020 |
| Moving pedestrian detection based on motion segmentation S Zhang, C Bauckhage, DA Klein, AB Cremers 2013 IEEE Workshop on Robot Vision (WORV), 102-107, 2013 | 15 | 2013 |
| Person Search by Separated Modeling and A Mask-Guided Two-Stream CNN Model D Chen, S Zhang, W Ouyang, J Yang, Y Tai IEEE Transactions on Image Processing 29, 4669-4682, 2020 | 13 | 2020 |
| A vision-based lane detection and tracking algorithm F Liu, S Zhang, W Zhu, Z Li Journal of Tongji University Natural science 38 (2), 223-229, 2010 | 12 | 2010 |
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyEmail verificata su njust.edu.cn
