Peng Liu

Orcid: 0000-0001-6568-1335

Affiliations:
  • Harbin Institute of Technology, Pattern Recognition and Intelligent System Research Center, China


According to our database1, Peng Liu authored at least 58 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Correction: A coupling method of learning structured support correlation filters for visual tracking.
Vis. Comput., September, 2024

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

IOB: integrating optimization transfer and behavior transfer for multi-policy reuse.
Auton. Agents Multi Agent Syst., June, 2024

A coupling method of learning structured support correlation filters for visual tracking.
Vis. Comput., January, 2024

Curriculum adaptation method based on graph neural networks for universal domain adaptation.
Expert Syst. Appl., 2024

2023
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Variational Diversity Maximization for Hierarchical Skill Discovery.
Neural Process. Lett., February, 2023

Addressing Hindsight Bias in Multigoal Reinforcement Learning.
IEEE Trans. Cybern., 2023

Channel-Weighted Structured Correlation Filters for UAV Tracking.
IEEE Geosci. Remote. Sens. Lett., 2023

Behavior Contrastive Learning for Unsupervised Skill Discovery.
Proceedings of the International Conference on Machine Learning, 2023

2022
Anatomical prior based vertebra modelling for reappearance of human spines.
Neurocomputing, 2022

Simultaneously Improve Transferability and Discriminability for Adversarial Domain Adaptation.
Entropy, 2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Exploration in Deep Reinforcement Learning: A Comprehensive Survey.
CoRR, 2021

Dynamic Bottleneck for Robust Self-Supervised Exploration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Visual Tracking by Structurally Optimizing Pre-Trained CNN.
IEEE Trans. Circuits Syst. Video Technol., 2020

Joint Channel Reliability and Correlation Filters Learning for Visual Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2020

Obtaining accurate estimated action values in categorical distributional reinforcement learning.
Knowl. Based Syst., 2020

Generating attentive goals for prioritized hindsight reinforcement learning.
Knowl. Based Syst., 2020

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, 2020

Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks.
Neurocomputing, 2020

Importance-weighted conditional adversarial network for unsupervised domain adaptation.
Expert Syst. Appl., 2020

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning.
CoRR, 2020

Correlation-Guided Attention for Corner Detection Based Visual Tracking.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multi-level context-adaptive correlation tracking.
Pattern Recognit., 2019

Structure preservation and distribution alignment in discriminative transfer subspace learning.
Neurocomputing, 2019

Guided goal generation for hindsight multi-goal reinforcement learning.
Neurocomputing, 2019

An exploratory rollout policy for imagination-augmented agents.
Appl. Intell., 2019

2018
Robust Tracking and Redetection: Collaboratively Modeling the Target and Its Context.
IEEE Trans. Multim., 2018

Spatial-temporal adaptive feature weighted correlation filter for visual tracking.
Signal Process. Image Commun., 2018

Iterative landmark selection and subspace alignment for unsupervised domain adaptation.
J. Electronic Imaging, 2018

2017
Abnormal crowd motion detection using double sparse representation.
Neurocomputing, 2017

A 3D/2D registration of the coronary arteries based on tree topology consistency matching.
Biomed. Signal Process. Control., 2017

Abnormal prediction of dense crowd videos by a purpose-driven lattice Boltzmann model.
Int. J. Appl. Math. Comput. Sci., 2017

A hierarchical inferential method for indoor scene classification.
Int. J. Appl. Math. Comput. Sci., 2017

Extended Kernelized Correlation Tracking with Target Enhancement and Sample Selection.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Making the torch lighter: Areinforced active sampling framework for image classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Hierarchy-associated semantic-rule inference framework for classifying indoor scenes.
J. Electronic Imaging, 2016

Practice makes perfect: An adaptive active learning framework for image classification.
Neurocomputing, 2016

Semantic middleware: multi-layer abstract semantics inference for object categorization.
Int. Arab J. Inf. Technol., 2016

2015
A Survey of Knowledge Hierarchies for Image Analysis.
Smart Comput. Rev., 2015

Hierarchical abstract semantic model for image classification.
J. Electronic Imaging, 2015

Cognition inspired framework for indoor scene annotation.
J. Electronic Imaging, 2015

May the torcher light our way: A negative-accelerated active learning framework for image classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Knowledge as action: A cognitive framework for indoor scene classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Forecasting Crowd State in Video by an Improved Lattice Boltzmann Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Removal of dynamic weather conditions based on variable time window.
IET Comput. Vis., 2013

2012
An Improved Guidance Image Based Method to Remove Rain and Snow in a Single Image.
Comput. Inf. Sci., 2012

2011
Banknote Image Retrieval Using Rotated QuaternionWavelet Filters.
Int. J. Comput. Intell. Syst., 2011

A time, space and color-based classification of different weather conditions.
Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

Adaptive background estimation of outdoor illumination variations for foreground detection.
Proceedings of the 2011 IEEE Visual Communications and Image Processing, 2011

2010
2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints.
J. Intell. Robotic Syst., 2010

2009
Pixel Based Temporal Analysis Using Chromatic Property for Removing Rain from Videos.
Comput. Inf. Sci., 2009

A NN Image Classification Method Driven by the Mixed Fitness Function.
Comput. Inf. Sci., 2009

2006
An MLP-orthogonal Gaussian mixture model hybrid model for Chinese bank check printed numeral recognition.
Int. J. Document Anal. Recognit., 2006


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