Search Results for author:
Found 10 papers, 4 papers with code
Low-Light Image Enhancement Based on Cell Vibration Energy Model and Lightness Difference
In response to these challenges, we introduce a novel low-light image enhancement algorithm leveraging a cell vibration energy model and lightness difference.
Data-Driven Moving Horizon Estimation Using Bayesian Optimization
In this work, an innovative data-driven moving horizon state estimation is proposed for model dynamic-unknown systems based on Bayesian optimization.
Enhancing Control Performance through ESN-Based Model Compensation in MPC for Dynamic Systems
Deriving precise system dynamic models through traditional numerical methods is often a challenging endeavor.
Secure Control of Networked Inverted Pendulum Visual Servo System with Adverse Effects of Image Computation (Extended Version)
When visual image information is transmitted via communication networks, it easily suffers from image attacks, leading to system performance degradation or even crash.
Stealthy Measurement-Aided Pole-Dynamics Attacks with Nominal Models
Thirdly, the performance of the proposed MAPDAs method is explored using convergence of multivariate measurements, and MAPDAs with model mismatch have the same stealthiness and similar destructiveness as TPDAs.
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Furthermore, we design a novel Interaction-Aware Transformer (IAT) to dynamically learn the graph-level representation of social behaviours and update the node-level representation, guided by our proposed interaction-aware self-attention mechanism.
Secure Control of Networked Control Systems Using Dynamic Watermarking
We here investigate secure control of networked control systems developing a new dynamic watermarking (DW) scheme.
Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise
This paper investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties.
Structured Context Enhancement Network for Mouse Pose Estimation
However, quantifying mouse behaviours from videos or images remains a challenging problem, where pose estimation plays an important role in describing mouse behaviours.
Low-light Image Enhancement Using the Cell Vibration Model
Then, based on the unique mathematical properties of the energy model and combined with the gamma correction model, a new global lightness enhancement model is proposed.
