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Jiagang Zhu
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2020 – today
- 2024
- [c8]Xiaofeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, Jiagang Zhu, Jiwen Lu:
DriveDreamer: Towards Real-World-Drive World Models for Autonomous Driving. ECCV (48) 2024: 55-72 - 2023
- [j9]Zheng Zhu
, Guan Huang, Jiankang Deng
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2627-2644 (2023) - 2022
- [j8]Pengju Zhang, Jiagang Zhu, Chaofan Zhang, Zheng Rong, Yihong Wu:
Semi-global shape-aware attention network for image segmentation and retrieval. Neurocomputing 506: 369-379 (2022) - [i13]Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie Zhou:
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition. CoRR abs/2204.10149 (2022) - 2021
- [c7]Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition. CVPR 2021: 10492-10502 - [i12]Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou:
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition. CoRR abs/2103.04098 (2021) - [i11]Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie Zhou:
Masked Face Recognition Challenge: The WebFace260M Track Report. CoRR abs/2108.07189 (2021) - [i10]Yunze Chen, Junjie Huang, Jiagang Zhu, Zheng Zhu, Tian Yang, Guan Huang, Dalong Du:
Face-NMS: A Core-set Selection Approach for Efficient Face Recognition. CoRR abs/2109.04698 (2021) - 2020
- [c6]Yunze Chen, Mengjuan Chen, Rui Wu, Jiagang Zhu, Zheng Zhu, Qingyi Gu:
Refinement of Boundary Regression Using Uncertainty in Temporal Action Localization. BMVC 2020 - [i9]Pengju Zhang, Yihong Wu, Jiagang Zhu:
Semi-Global Shape-aware Network. CoRR abs/2012.09372 (2020)
2010 – 2019
- 2019
- [j7]Jiagang Zhu
Convolutional relation network for skeleton-based action recognition. Neurocomputing 370: 109-117 (2019) - [j6]Jiagang Zhu
Action Machine: Toward Person-Centric Action Recognition in Videos. IEEE Signal Process. Lett. 26(11): 1633-1637 (2019) - [c5]Yiming Hu, Siyang Sun, Jianquan Li, Jiagang Zhu, Xingang Wang, Qingyi Gu:
Multi-Loss-Aware Channel Pruning of Deep Networks. ICIP 2019: 889-893 - [c4]Yiming Hu, Jianquan Li, Xianlei Long
Cluster Regularized Quantization for Deep Networks Compression. ICIP 2019: 914-918 - [i8]Yiming Hu, Siyang Sun, Jianquan Li, Jiagang Zhu, Xingang Wang, Qingyi Gu:
Multi-loss-aware Channel Pruning of Deep Networks. CoRR abs/1902.10364 (2019) - [i7]Yiming Hu, Jianquan Li, Xianlei Long, Shenhua Hu, Jiagang Zhu, Xingang Wang, Qingyi Gu:
Cluster Regularized Quantization for Deep Networks Compression. CoRR abs/1902.10370 (2019) - 2018
- [c3]Jiagang Zhu, Wei Zou, Zheng Zhu:
Learning Evasion Strategy in Pursuit-Evasion by Deep Q-network. ICPR 2018: 67-72 - [c2]Jiagang Zhu, Wei Zou, Zheng Zhu:
Two-Stream Gated Fusion ConvNets for Action Recognition. ICPR 2018: 597-602 - [c1]Jiagang Zhu, Zheng Zhu, Wei Zou:
End-to-end Video-level Representation Learning for Action Recognition. ICPR 2018: 645-650 - [i6]Junjie Huang, Wei Zou, Jiagang Zhu, Zheng Zhu:
Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes. CoRR abs/1807.04890 (2018) - [i5]Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu:
Optical Flow Based Online Moving Foreground Analysis. CoRR abs/1811.07256 (2018) - [i4]Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu:
An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes. CoRR abs/1811.08290 (2018) - [i3]Jiagang Zhu, Wei Zou, Liang Xu, Yiming Hu, Zheng Zhu, Manyu Chang, Junjie Huang, Guan Huang, Dalong Du:
Action Machine: Rethinking Action Recognition in Trimmed Videos. CoRR abs/1812.05770 (2018) - 2017
- [i2]Jiagang Zhu, Wei Zou, Zheng Zhu:
Learning Gating ConvNet for Two-Stream based Methods in Action Recognition. CoRR abs/1709.03655 (2017) - [i1]Jiagang Zhu, Wei Zou, Zheng Zhu, Lin Li:
End-to-end Video-level Representation Learning for Action Recognition. CoRR abs/1711.04161 (2017) - 2016
- [j5]Bin Zhang, Jiagang Zhu:
基于类内散度的粗糙one-class支持向量机 (Rough Set One-class Support Vector Machine Based on Within-class Scatter). 计算机科学 43(12): 135-138 (2016) - 2015
- [j4]Haobing Tian, Jiagang Zhu, Xiao Lu:
基于特征贡献度加权高斯核函数的粗糙one-class支持向量机 (WFCD-based Rough Set One-class Support Vector Machine). 计算机科学 42(6): 239-242 (2015)
2000 – 2009
- 2006
- [j3]Shitong Wang, Jiagang Zhu, Fu-Lai Chung
Experimental study on parameter choices in norm-r support vector regression machines with noisy input. Soft Comput. 10(3): 219-223 (2006) - [j2]Jiagang Zhu, Shitong Wang, Xisheng Wu, Korris Fu-Lai Chung
A novel adaptive SVR based filter ASBF for image restoration. Soft Comput. 10(8): 665-672 (2006) - 2005
- [j1]Shitong Wang, Jiagang Zhu, Fu-Lai Chung
Theoretically Optimal Parameter Choices for Support Vector Regression Machines with Noisy Input. Soft Comput. 9(10): 732-741 (2005)
Coauthor Index
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