Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement

1 code implementation • 24 Mar 2024 • Xiuquan Hou, Meiqin Liu, Senlin Zhang, Ping Wei, Badong Chen

DETR-like methods have significantly increased detection performance in an end-to-end manner.

Computational Efficiency Dense Object Detection

CARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization

1 code implementation • 11 Sep 2023 • Yang Xu, Ronghao Zheng, Senlin Zhang, Meiqin Liu, Shoudong Huang

We first utilize Gaussian process (GP) regression to learn a surrogate model to infer the confidence-rich mutual information (CRMI) of querying control actions, then adopt an objective function consisting of predicted CRMI values and prediction uncertainties to conduct Bayesian optimization (BO), i. e., GP-based BO (GPBO).

Bayesian Optimization

Distributed Target Tracking with Fading Channels over Underwater Wireless Sensor Networks

no code implementations • 8 Aug 2023 • Miaoyi Tang, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Shanling Dong

The proposed filtering scheme is versatile and possesses wide applicability to numerous real-world scenarios, e. g., tracking a maneuvering underwater target with acoustic sensors.

Physics-informed Neural Network Combined with Characteristic-Based Split for Solving Navier-Stokes Equations

1 code implementation • 21 Apr 2023 • Shuang Hu, Meiqin Liu, Senlin Zhang, Shanling Dong, Ronghao Zheng

As a result, it can solve the special form of compressible N-S equations -- -Shallow-Water equations, and incompressible N-S equations.