Zhe Li

According to our database, Zhe Li authored at least 19 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Resource-Efficient RGBD Aerial Tracking.

Jinyu Yang, Shang Gao, Zhe Li, Feng Zheng, Ales Leonardis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RGBD Object Tracking: An In-depth Review.

Jinyu Yang, Zhe Li, Song Yan, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen, Ling Shao

CoRR, 2022

Prompting for Multi-Modal Tracking.

Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline.

Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Ales Leonardis, Feng Zheng

Proceedings of the Computer Vision - ECCV 2022, 2022

The Tenth Visual Object Tracking VOT2022 Challenge Results.

Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Learning Dual-Fused Modality-Aware Representations for RGBD Tracking.

Shang Gao, Jinyu Yang, Zhe Li, Feng Zheng, Ales Leonardis, Jingkuan Song

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2019

EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch.

Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Robust Zero-Sum Game Framework for Pool-based Active Learning.

Dixian Zhu, Zhe Li, Xiaoyu Wang, Boqing Gong, Tianbao Yang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching.

Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran

CoRR, 2018

An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints.

Zhe Li, Xuehan Xiong, Zhou Ren, Ning Zhang, Xiaoyu Wang, Tianbao Yang

CoRR, 2018

Adaptive Negative Curvature Descent with Applications in Non-convex Optimization.

Mingrui Liu, Zhe Li, Xiaoyu Wang, Jinfeng Yi, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Unified Analysis of Stochastic Momentum Methods for Deep Learning.

Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer.

Tianbao Yang, Zhe Li, Lijun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

SEP-Nets: Small and Effective Pattern Networks.

Zhe Li, Xiaoyu Wang, Xutao Lv, Tianbao Yang

CoRR, 2017

SVD-free Convex-Concave Approaches for Nuclear Norm Regularization.

Yichi Xiao, Zhe Li, Tianbao Yang, Lijun Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis.

Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improved Dropout for Shallow and Deep Learning.

Zhe Li, Boqing Gong, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Fast and Accurate Refined Nyström-Based Kernel SVM.

Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2011

A unified framework for locating and recognizing human actions.

Yuelei Xie, Hong Chang, Zhe Li, Luhong Liang, Xilin Chen, Debin Zhao

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011