| CityPersons: A Diverse Dataset for Pedestrian Detection S Zhang, R Benenson, B Schiele IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 750 | 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 | 527 | 2016 |
| Filtered channel features for pedestrian detection S Zhang, R Benenson, B Schiele IEEE Conference on Computer Vision and Pattern Recognition, 2015 | 466 | 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 | 390 | 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 | 373 | 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 | 201 | 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 | 173 | 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 | 136 | 2020 |
| 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 | 85 | 2020 |
| 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 | 74 | 2018 |
| 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 | 62 | 2019 |
| 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 | 48 | 2015 |
| 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 | 44 | 2020 |
| Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection F Rezaeianaran, R Shetty, R Aljundi, DO Reino, S Zhang, B Schiele Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 43 | 2021 |
| Incremental Generative Occlusion Adversarial Suppression Network for Person ReID C Zhao, X Lv, S Dou, S Zhang, J Wu, L Wang IEEE Transactions on Image Processing 30, 4212-4224, 2021 | 37 | 2021 |
| 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 | 30 | 2015 |
| 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 | 28 | 2020 |
| 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, 6263-6282, 2016 | 25 | 2016 |
| Knowledge distillation for object detection via rank mimicking and prediction-guided feature imitation G Li, X Li, Y Wang, S Zhang, Y Wu, D Liang Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1306-1313, 2022 | 24 | 2022 |
| Pseco: Pseudo labeling and consistency training for semi-supervised object detection G Li, X Li, Y Wang, Y Wu, D Liang, S Zhang European Conference on Computer Vision, 457-472, 2022 | 24 | 2022 |
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyE-mailová adresa ověřena na: njust.edu.cn
