| 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 | 661 | 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 | 471 | 2017 |
| 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 | 318 | 2020 |
| 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 | 263 | 2020 |
| 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 | 184 | 2021 |
| Topology-aware convolutional neural network for efficient skeleton-based action recognition K Xu, F Ye, Q Zhong, D Xie Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2866-2874, 2022 | 144 | 2022 |
| 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 | 126 | 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 | 66 | 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 | 53 | 2019 |
| 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 | 27 | 2016 |
| iCVM: an interpretable deep learning model for CVM assessment under label uncertainty N Liao, J Dai, Y Tang, Q Zhong, S Mo IEEE Journal of Biomedical and Health Informatics 26 (8), 4325-4334, 2022 | 18 | 2022 |
| 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, 1-11, 2013 | 13 | 2013 |
| IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge 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 | 12 | 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 | 6 | 2018 |
| Self-distilled knowledge delegator for exemplar-free class incremental learning F Ye, L Ma, Q Zhong, D Xie, S Pu 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| 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 | 4 | 2021 |
| 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 | 2 | 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 | 2 | 2020 |
| Data storage method, data acquisition method and device thereof Y Zhang, Q Zhong, D Xie, S Pu US Patent App. 17/630,660, 2022 | 1 | 2022 |
| Up to Thousands-fold Storage Saving: Towards Efficient Data-Free Distillation of Large-Scale Visual Classifiers F Ye, B Lu, L Ma, Q Zhong, D Xie Proceedings of the 31st ACM International Conference on Multimedia, 8376-8386, 2023 | | 2023 |
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