Peng Liu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 42

Top Topics

Image Classification

Lattice Boltzmann

Reinforcement Learning

Correlation Filters

Top Venues

J. Electronic Imaging

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Peng Liu, Gong Li, Wei Zhao, Xianglong Tang
Correction: A coupling method of learning structured support correlation filters for visual tracking. Vis. Comput. 40 (9) (2024)
Chenjia Bai, Ting Xiao, Zhoufan Zhu, Lingxiao Wang, Fan Zhou, Animesh Garg, Bin He, Peng Liu, Zhaoran Wang
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Peng Liu, Gong Li, Wei Zhao, Xianglong Tang
A coupling method of learning structured support correlation filters for visual tracking. Vis. Comput. 40 (1) (2024)
Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. Auton. Agents Multi Agent Syst. 38 (1) (2024)
Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
Behavior Contrastive Learning for Unsupervised Skill Discovery. ICML (2023)
Yingnan Zhao, Peng Liu, Wei Zhao, Xianglong Tang
Variational Diversity Maximization for Hierarchical Skill Discovery. Neural Process. Lett. 55 (1) (2023)
Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han, Zhaoran Wang
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Peng Liu, Gong Li, Wei Zhao, Xianglong Tang
Channel-Weighted Structured Correlation Filters for UAV Tracking. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu
Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. 53 (1) (2023)
Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse. CoRR (2023)
Chenjia Bai, Lingxiao Wang, Zhuoran Yang, Zhi-Hong Deng, Animesh Garg, Peng Liu, Zhaoran Wang
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning. ICLR (2022)
Ting Xiao, Cangning Fan, Peng Liu, Hongwei Liu
Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation. Entropy 24 (1) (2022)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang
Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML (2021)
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS (2021)
Peng Liu, Chenjia Bai, Yingnan Zhao, Chenyao Bai, Wei Zhao, Xianglong Tang
Generating attentive goals for prioritized hindsight reinforcement learning. Knowl. Based Syst. 203 (2020)
Yingnan Zhao, Peng Liu, Chenjia Bai, Wei Zhao, Xianglong Tang
Obtaining accurate estimated action values in categorical distributional reinforcement learning. Knowl. Based Syst. 194 (2020)
Chenjia Bai, Peng Liu, Zhaoran Wang, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning. CoRR (2020)
Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
Joint Channel Reliability and Correlation Filters Learning for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 30 (6) (2020)
Peng Liu, Ting Xiao, Cangning Fan, Wei Zhao, Xianglong Tang, Hongwei Liu
Importance-weighted conditional adversarial network for unsupervised domain adaptation. Expert Syst. Appl. 155 (2020)
Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang
Visual Tracking by Structurally Optimizing Pre-Trained CNN. IEEE Trans. Circuits Syst. Video Technol. 30 (9) (2020)
Cangning Fan, Peng Liu, Ting Xiao, Wei Zhao, Xianglong Tang
Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks. Neurocomputing 411 (2020)
Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
Correlation-Guided Attention for Corner Detection Based Visual Tracking. CVPR (2020)
Weiyi Ang, Chenjia Bai, Chao Cai, Yingnan Zhao, Peng Liu
深度强化学习中稀疏奖励问题研究综述 (Survey on Sparse Reward in Deep Reinforcement Learning). 计算机科学 47 (3) (2020)
Chenjia Bai, Peng Liu, Wei Zhao, Xianglong Tang
Guided goal generation for hindsight multi-goal reinforcement learning. Neurocomputing 359 (2019)
Peng Liu, Yingnan Zhao, Wei Zhao, Xianglong Tang, Zichan Yang
An exploratory rollout policy for imagination-augmented agents. Appl. Intell. 49 (10) (2019)
Peng Liu, Chang Liu, Wei Zhao, Xianglong Tang
Multi-level context-adaptive correlation tracking. Pattern Recognit. 87 (2019)
Ting Xiao, Peng Liu, Wei Zhao, Hongwei Liu, Xianglong Tang
Structure preservation and distribution alignment in discriminative transfer subspace learning. Neurocomputing 337 (2019)
Ting Xiao, Peng Liu, Wei Zhao, Xianglong Tang
Iterative landmark selection and subspace alignment for unsupervised domain adaptation. J. Electronic Imaging 27 (03) (2018)
Chang Liu, Peng Liu, Wei Zhao, Xianglong Tang
Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context. IEEE Trans. Multim. 20 (4) (2018)
Fei Du, Peng Liu, Wei Zhao, Xianglong Tang
Spatial-temporal adaptive feature weighted correlation filter for visual tracking. Signal Process. Image Commun. 67 (2018)
Depeng Gao, Rui Wu, Jiafeng Liu, Qingcheng Huang, Xianglong Tang, Peng Liu
RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images. ICONIP (6) (2017)
Songbo Liu, Peng Liu, Zhixun Li, Yingtao Zhang, Weimin Li, Xianglong Tang
A 3D/2D registration of the coronary arteries based on tree topology consistency matching. Biomed. Signal Process. Control. 38 (2017)
Yiran Xue, Peng Liu, Ye Tao, Xianglong Tang
Abnormal prediction of dense crowd videos by a purpose-driven lattice Boltzmann model. Int. J. Appl. Math. Comput. Sci. 27 (1) (2017)
Peng Liu, Zhipeng Ye, Xianglong Tang, Wei Zhao
Making the torch lighter: Areinforced active sampling framework for image classification. ICIP (2017)
Peng Liu, Ye Tao, Wei Zhao, Xianglong Tang
Abnormal crowd motion detection using double sparse representation. Neurocomputing 269 (2017)
Jingzhe Jiang, Peng Liu, Zhipeng Ye, Wei Zhao, Xianglong Tang
A hierarchical inferential method for indoor scene classification. Int. J. Appl. Math. Comput. Sci. 27 (4) (2017)
Peng Liu, Chang Liu, Wei Zhao, Xianglong Tang
Extended Kernelized Correlation Tracking with Target Enhancement and Sample Selection. ICTAI (2017)
Peng Liu, Zhipeng Ye, Wei Zhao, Xianglong Tang
Semantic middleware: multi-layer abstract semantics inference for object categorization. Int. Arab J. Inf. Technol. 13 (6A) (2016)
Dan Yu, Peng Liu, Zhipeng Ye, Xianglong Tang, Wei Zhao
Hierarchy-associated semantic-rule inference framework for classifying indoor scenes. J. Electronic Imaging 25 (2) (2016)
Zhipeng Ye, Peng Liu, Jiafeng Liu, Xianglong Tang, Wei Zhao
Practice makes perfect: An adaptive active learning framework for image classification. Neurocomputing 196 (2016)
Zhipeng Ye, Peng Liu, Wei Zhao, Xianglong Tang
A Survey of Knowledge Hierarchies for Image Analysis. Smart Comput. Rev. 5 (3) (2015)
Zhipeng Ye, Peng Liu, Wei Zhao, Xianglong Tang
Hierarchical abstract semantic model for image classification. J. Electronic Imaging 24 (5) (2015)
Zhipeng Ye, Peng Liu, Wei Zhao, Xianglong Tang
Cognition inspired framework for indoor scene annotation. J. Electronic Imaging 24 (5) (2015)
Zhipeng Ye, Peng Liu, Xianglong Tang, Wei Zhao
May the torcher light our way: A negative-accelerated active learning framework for image classification. ICIP (2015)
Rui Wu, Zhipeng Ye, Peng Liu, Xianglong Tang, Wei Zhao
Knowledge as action: A cognitive framework for indoor scene classification. ICIP (2015)
Ye Tao, Peng Liu, Wei Zhao, Xianglong Tang
Forecasting Crowd State in Video by an Improved Lattice Boltzmann Model. ICONIP (3) (2014)
Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang
Removal of dynamic weather conditions based on variable time window. IET Comput. Vis. 7 (4) (2013)
Jing Xu, Wei Zhao, Peng Liu, Xianglong Tang
An Improved Guidance Image Based Method to Remove Rain and Snow in a Single Image. Comput. Inf. Sci. 5 (3) (2012)
Shan Gai, Peng Liu, Jiafeng Liu, Xianglong Tang
Banknote Image Retrieval Using Rotated QuaternionWavelet Filters. Int. J. Comput. Intell. Syst. 4 (2) (2011)
Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang
A time, space and color-based classification of different weather conditions. VCIP (2011)
Xudong Zhao, Peng Liu, Jiafeng Liu, Xianglong Tang
Adaptive background estimation of outdoor illumination variations for foreground detection. VCIP (2011)
Chenguang Liu, Peng Liu, Jiafeng Liu, Jianhua Huang, Xianglong Tang
2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints. J. Intell. Robotic Syst. 58 (2) (2010)
Shan Gai, Peng Liu, Jiafeng Liu, Xianglong Tang
A NN Image Classification Method Driven by the Mixed Fitness Function. Comput. Inf. Sci. 2 (4) (2009)
Peng Liu, Jing Xu, Jiafeng Liu, Xianglong Tang
Pixel Based Temporal Analysis Using Chromatic Property for Removing Rain from Videos. Comput. Inf. Sci. 2 (1) (2009)
Hui Zhu, Xianglong Tang, Peng Liu
An MLP-orthogonal Gaussian mixture model hybrid model for Chinese bank check printed numeral recognition. Int. J. Document Anal. Recognit. 8 (1) (2006)