| Visdrone-det2018: The vision meets drone object detection in image challenge results P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, Q Nie, H Cheng, C Liu, X Liu, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 88 | 2018 |
| Robust and fast pedestrian detection method for far-infrared automotive driving assistance systems Q Liu, J Zhuang, J Ma Infrared Physics & Technology 60, 288-299, 2013 | 77 | 2013 |
| Benchmarking a large-scale FIR dataset for on-road pedestrian detection Z Xu, J Zhuang, Q Liu, J Zhou, S Peng Infrared Physics & Technology 96, 199-208, 2019 | 30 | 2019 |
| Visdrone-vid2019: The vision meets drone object detection in video challenge results P Zhu, D Du, L Wen, X Bian, H Ling, Q Hu, T Peng, J Zheng, X Wang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 29 | 2019 |
| Decoupled dynamic filter networks J Zhou, V Jampani, Z Pi, Q Liu, MH Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| Scale adaptive image cropping for UAV object detection J Zhou, CM Vong, Q Liu, Z Wang Neurocomputing 366, 305-313, 2019 | 23 | 2019 |
| Novel up-scale feature aggregation for object detection in aerial images H Lin, J Zhou, Y Gan, CM Vong, Q Liu Neurocomputing 411, 364-374, 2020 | 15 | 2020 |
| Detection of pedestrians at night time using learning-based method and head validation Q Liu, J Zhuang, S Kong 2012 IEEE International Conference on Imaging Systems and Techniques …, 2012 | 13 | 2012 |
| Balanced feature selection method for Internet traffic classification Z Liu, Q Liu IET networks 1 (2), 74-83, 2012 | 10 | 2012 |
| Detection of pedestrians for far-infrared automotive night vision systems using learning-based method and head validation Q Liu, J Zhuang, S Kong Measurement Science and Technology 24 (7), 074022, 2013 | 9 | 2013 |
| Vehicle-mounted far-infrared pedestrian detection using multi-object tracking H Chen, W Cai, F Wu, Q Liu Infrared Physics & Technology 115, 103697, 2021 | 8 | 2021 |
| A deployment scheme of YOLOv5 with inference optimizations based on the Triton inference server J Fang, Q Liu, J Li 2021 IEEE 6th International Conference on Cloud Computing and Big Data …, 2021 | 8 | 2021 |
| Method research on vehicular infrared pedestrian detection based on local features G WANG, Q LIU, J ZHUANG ACTA ELECTONICA SINICA 43 (7), 1444, 2015 | 7 | 2015 |
| Large traffic flows classification method Q Liu, Z Liu, R Wang, C Xu 2014 IEEE International Conference on Communications Workshops (ICC), 569-574, 2014 | 7 | 2014 |
| A generalized thresholding algorithm of pedestrian segmentation for far-infrared images Q Liu, J Zhuang 2012 IEEE International Conference on Imaging Systems and Techniques …, 2012 | 7 | 2012 |
| MCNet: Multi-level Correction Network for thermal image semantic segmentation of nighttime driving scene H Xiong, W Cai, Q Liu Infrared Physics & Technology 113, 103628, 2021 | 6 | 2021 |
| Image captioning with semantic-enhanced features and extremely hard negative examples W Cai, Q Liu Neurocomputing 413, 31-40, 2020 | 6 | 2020 |
| Ground plane context aggregation network for day-and-night on vehicular pedestrian detection Z Xu, CM Vong, CC Wong, Q Liu IEEE Transactions on Intelligent Transportation Systems 22 (10), 6395-6406, 2020 | 6 | 2020 |
| Far-infrared pedestrians detection based on adaptive template matching and heterogeneous-feature-based classification G Wang, Q Liu, Y Zheng, S Peng 2016 IEEE International Instrumentation and Measurement Technology …, 2016 | 6 | 2016 |
| Far-infrared pedestrian detection for advanced driver assistance systems using scene context G Wang, Q Liu, Q Wu Optical Engineering 55 (4), 043105, 2016 | 6 | 2016 |
