| Co-occurrence feature learning from skeleton data for action recognition and detection with hierarchical aggregation C Li, Q Zhong, D Xie, S Pu arXiv preprint arXiv:1804.06055, 2018 | 321 | 2018 |
| Skeleton-based action recognition with convolutional neural networks C Li, Q Zhong, D Xie, S Pu 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017 | 257 | 2017 |
| Collaborative spatiotemporal feature learning for video action recognition C Li, Q Zhong, D Xie, S Pu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 81 | 2019 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 56 | 2020 |
| Dynamic gcn: Context-enriched topology learning for skeleton-based action recognition F Ye, S Pu, Q Zhong, C Li, D Xie, H Tang Proceedings of the 28th ACM International Conference on Multimedia, 55-63, 2020 | 42 | 2020 |
| Learning incremental triplet margin for person re-identification Y Zhang, Q Zhong, L Ma, D Xie, S Pu Proceedings of the AAAI conference on artificial intelligence 33 (01), 9243-9250, 2019 | 36 | 2019 |
| Cascade region proposal and global context for deep object detection Q Zhong, C Li, Y Zhang, D Xie, S Yang, S Pu Neurocomputing 395, 170-177, 2020 | 35 | 2020 |
| Towards good practices for recognition & detection Q Zhong, C Li, Y Zhang, H Sun, S Yang, D Xie, S Pu CVPR workshops 1, 2, 2016 | 16 | 2016 |
| Similarity maps and hierarchical clustering for annotating FT-IR spectral images Q Zhong, C Yang, F Großerüschkamp, A Kallenbach-Thieltges, P Serocka, ... BMC bioinformatics 14 (1), 1-11, 2013 | 13 | 2013 |
| Divide-and-assemble: Learning block-wise memory for unsupervised anomaly detection J Hou, Y Zhang, Q Zhong, D Xie, S Pu, H Zhou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
| Iros 2019 lifelong robotic vision: Object recognition challenge [competitions] H Bae, E Brophy, RHM Chan, B Chen, F Feng, G Graffieti, V Goel, X Hao, ... IEEE Robotics & Automation Magazine 27 (2), 11-16, 2020 | 7 | 2020 |
| Team DEEP-HRI Moments in Time challenge 2018 technical report C Li, Z Hou, J Chen, Y Bu, J Zhou, Q Zhong, D Xie, S Pu Computer Vision and Pattern Recognition, 2018 | 4 | 2018 |
| Modulating Localization and Classification for Harmonized Object Detection T Zhang, Q Zhong, S Pu, D Xie 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 1 | 2021 |
| IROS 2019 Lifelong Robotic Vision Challenge--Lifelong Object Recognition Report Q She, F Feng, Q Liu, RHM Chan, X Hao, C Lan, Q Yang, V Lomonaco, ... arXiv preprint arXiv:2004.14774, 2020 | 1 | 2020 |
| KRNet: Towards Efficient Knowledge Replay Y Zhang, Q Zhong, D Xie, S Pu arXiv preprint arXiv:2205.11126, 2022 | | 2022 |
| Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning F Ye, L Ma, Q Zhong, D Xie, S Pu arXiv preprint arXiv:2205.11071, 2022 | | 2022 |
| Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition K Xu, F Ye, Q Zhong, D Xie arXiv preprint arXiv:2112.04178, 2021 | | 2021 |
| Associative affinity network learning for multi-object tracking L Ma, Q Zhong, Y Zhang, D Xie, S Pu Frontiers of Information Technology & Electronic Engineering 22 (9), 1194-1206, 2021 | | 2021 |
| Fast Task Adaptation for Few-Shot Learning Y Zhang, Q Zhong, D Xie, S Pu | | 2019 |
| Identifying minimally redundant wavenumbers for vibrational microspectroscopic image analysis Q Zhong, D Niedieker, D Petersen, K Gerwert, A Mosig 2014 10th International Conference on Natural Computation (ICNC), 856-861, 2014 | | 2014 |
Di XieHikvision Research Institute在 hikvision.com 的电子邮件经过验证
