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Qiaoyong Zhong
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2020 – today
- 2023
- [c13]Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang:
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). AAAI 2023: 16182-16183 - [c12]Fanfan Ye, Bingyi Lu, Liang Ma, Qiaoyong Zhong, Di Xie:
Up to Thousands-fold Storage Saving: Towards Efficient Data-Free Distillation of Large-Scale Visual Classifiers. ACM Multimedia 2023: 8376-8386 - 2022
- [j6]Ni Liao, Jian Dai, Yao Tang, Qiaoyong Zhong, Shuixue Mo:
iCVM: An Interpretable Deep Learning Model for CVM Assessment Under Label Uncertainty. IEEE J. Biomed. Health Informatics 26(8): 4325-4334 (2022) - [c11]Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie:
Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition. AAAI 2022: 2866-2874 - [c10]Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu:
KRNet: Towards Efficient Knowledge Replay. ICPR 2022: 4772-4778 - [c9]Fanfan Ye, Liang Ma, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning. IJCNN 2022: 1-8 - [i12]Fanfan Ye, Liang Ma, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Self-distilled Knowledge Delegator for Exemplar-free Class Incremental Learning. CoRR abs/2205.11071 (2022) - [i11]Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu:
KRNet: Towards Efficient Knowledge Replay. CoRR abs/2205.11126 (2022) - 2021
- [j5]Ma Liang, Qiaoyong Zhong, Yingying Zhang, Di Xie, Shiliang Pu:
Associative affinity network learning for multi-object tracking. Frontiers Inf. Technol. Electron. Eng. 22(9): 1194-1206 (2021) - [c8]Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou:
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection. ICCV 2021: 8771-8780 - [c7]Taiheng Zhang, Qiaoyong Zhong, Shiliang Pu, Di Xie:
Modulating Localization and Classification for Harmonized Object Detection. ICME 2021: 1-6 - [i10]Taiheng Zhang, Qiaoyong Zhong, Shiliang Pu, Di Xie:
Modulating Localization and Classification for Harmonized Object Detection. CoRR abs/2103.08958 (2021) - [i9]Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou:
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection. CoRR abs/2107.13118 (2021) - [i8]Kailin Xu, Fanfan Ye, Qiaoyong Zhong, Di Xie:
Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition. CoRR abs/2112.04178 (2021) - 2020
- [j4]Qiaoyong Zhong, Chao Li, Yingying Zhang, Di Xie, Shicai Yang, Shiliang Pu:
Cascade region proposal and global context for deep object detection. Neurocomputing 395: 170-177 (2020) - [j3]Heechul Bae, Eoin Brophy, Rosa H. M. Chan, Baoquan Chen, Fan Feng, Gabriele Graffieti, Vidit Goel, Xinyue Hao, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Chuanlin Lan, Qi Liu, Vincenzo Lomonaco, Liang Ma, Davide Maltoni, German Ignacio Parisi, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Qi She, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qihan Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. IEEE Robotics Autom. Mag. 27(2): 11-16 (2020) - [j2]Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin:
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29: 5737-5752 (2020) - [c6]Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang:
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition. ACM Multimedia 2020: 55-63 - [i7]Qi She, Fan Feng, Qi Liu, Rosa H. M. Chan, Xinyue Hao, Chuanlin Lan, Qihan Yang, Vincenzo Lomonaco, German Ignacio Parisi, Heechul Bae, Eoin Brophy, Baoquan Chen, Gabriele Graffieti, Vidit Goel, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Liang Ma, Davide Maltoni, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qiaoyong Zhong, Liguang Zhou:
IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. CoRR abs/2004.14774 (2020) - [i6]Fanfan Ye, Shiliang Pu, Qiaoyong Zhong, Chao Li, Di Xie, Huiming Tang:
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition. CoRR abs/2007.14690 (2020)
2010 – 2019
- 2019
- [c5]Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu:
Learning Incremental Triplet Margin for Person Re-Identification. AAAI 2019: 9243-9250 - [c4]Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Collaborative Spatiotemporal Feature Learning for Video Action Recognition. CVPR 2019: 7872-7881 - [i5]Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Collaborative Spatio-temporal Feature Learning for Video Action Recognition. CoRR abs/1903.01197 (2019) - 2018
- [c3]Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. IJCAI 2018: 786-792 - [i4]Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. CoRR abs/1804.06055 (2018) - [i3]Yingying Zhang, Qiaoyong Zhong, Liang Ma, Di Xie, Shiliang Pu:
Learning Incremental Triplet Margin for Person Re-identification. CoRR abs/1812.06576 (2018) - 2017
- [c2]Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Skeleton-based action recognition with convolutional neural networks. ICME Workshops 2017: 597-600 - [i2]Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Skeleton-based Action Recognition with Convolutional Neural Networks. CoRR abs/1704.07595 (2017) - [i1]Qiaoyong Zhong, Chao Li, Yingying Zhang, Di Xie, Shicai Yang, Shiliang Pu:
Cascade Region Proposal and Global Context for Deep Object Detection. CoRR abs/1710.10749 (2017) - 2014
- [c1]Qiaoyong Zhong, Daniel Niedieker, Dennis Petersen, Klaus Gerwert, Axel Mosig:
Identifying minimally redundant wavenumbers for vibrational microspectroscopic image analysis. ICNC 2014: 856-861 - 2013
- [j1]Qiaoyong Zhong, Chen Yang, Frederik Großerüschkamp, Angela Kallenbach-Thieltges, Peter Serocka, Klaus Gerwert, Axel Mosig:
Similarity maps and hierarchical clustering for annotating FT-IR spectral images. BMC Bioinform. 14: 333 (2013)
Coauthor Index
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