Search Results for author: Jiankun Hu

Found 12 papers, 1 papers with code

A Robust Policy Bootstrapping Algorithm for Multi-objective Reinforcement Learning in Non-stationary Environments

no code implementations18 Aug 2023 Sherif Abdelfattah, Kathryn Kasmarik, Jiankun Hu

We propose a novel multi-objective reinforcement learning algorithm that can robustly evolve a convex coverage set of policies in an online manner in non-stationary environments.

Decision Making Multi-Objective Reinforcement Learning +1

Intrinsically Motivated Hierarchical Policy Learning in Multi-objective Markov Decision Processes

no code implementations18 Aug 2023 Sherif Abdelfattah, Kathryn Merrick, Jiankun Hu

In this work, intrinsically motivated reinforcement learning has been successfully deployed to evolve generic skill sets for learning hierarchical policies to solve multi-objective Markov decision processes.

Decision Making Multi-Objective Reinforcement Learning +1

PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-model Transmission Systems

no code implementations15 Jul 2022 Xuefei Yin, Yanming Zhu, Yi Xie, Jiankun Hu

Case studies on the detection of SFDIAs on the benchmark smart grids show that the PowerFDNet achieved significant improvement compared with the state-of-the-art SFDIA detection methods.

FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement

1 code implementation26 Jun 2022 Yanming Zhu, Xuefei Yin, Jiankun Hu

In this paper, we propose a new method that formulates the latent fingerprint enhancement as a constrained fingerprint generation problem within a generative adversarial network (GAN) framework.

Generative Adversarial Network

Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with Label Correction Strategy in Aerial Images

no code implementations16 Mar 2021 Jue Zhang, Xiuping Jia, Jiankun Hu

First, a convolutional neural network is trained with positive and negative samples with image-level labels.

Online Structured Sparsity-based Moving Object Detection from Satellite Videos

no code implementations29 Nov 2019 Junpeng Zhang, Xiuping Jia, Jiankun Hu, Jocelyn Chanussot

O-LSD reformulates the batch-based low-rank matrix decomposition with the structured sparse penalty to its equivalent frame-wise separable counterpart, which then defines a stochastic optimization problem for online subspace basis estimation.

Moving Object Detection object-detection +1

Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos

no code implementations26 Aug 2019 Junpeng Zhang, Xiuping Jia, Jiankun Hu

It is integrated with structured sparsity regularization to achieve background subtraction in the developed method of Low-rank and Structured Sparse Decomposition (LSD).

Moving Object Detection object-detection

IriTrack: Liveness Detection Using Irises Tracking for Preventing Face Spoofing Attacks

no code implementations8 Oct 2018 Meng Shen, Zelin Liao, Liehuang Zhu, Rashid Mijumbi, Xiaojiang Du, Jiankun Hu

Face liveness detection has become a widely used technique with a growing importance in various authentication scenarios to withstand spoofing attacks.

Cryptography and Security

From Deep to Shallow: Transformations of Deep Rectifier Networks

no code implementations30 Mar 2017 Senjian An, Farid Boussaid, Mohammed Bennamoun, Jiankun Hu

Similarly, for a residual net and a conventional rectifier net with the same structure except for the skip connections in the residual net, the corresponding single hidden layer representation of the residual net is much more complex than the corresponding single hidden layer representation of the conventional net.

A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model

no code implementations1 Jul 2014 Jinwei Xu, Jiankun Hu, Xiuping Jia

Orientation field, representing the fingerprint ridge structure direction, plays a crucial role in fingerprint-related image processing tasks.

A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module

no code implementations26 Jun 2014 Jinwei Xu, Jiankun Hu, Xiuping Jia

Latent fingerprint has the practical value to identify the suspects who have unintentionally left a trace of fingerprint in the crime scenes.

Dictionary Learning Self-Learning +1

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