Search Results for author: Xiaoyan Hu

Found 7 papers, 1 papers with code

Approximation-free control based on the bioinspired reference model for suspension systems with uncertainty and unknown nonlinearity

no code implementations9 Apr 2022 Xiaoyan Hu, Guilin Wen, Shan Yin, Zhao Tan, Zebang Pan

The proposed method integrates the superior vibration suppression of the bioinspired reference model and the structural advantage of the prescribed performance function (PPF) in approximation-free control.

MIMO-OFDM Dual-Functional Radar-Communication Systems: Low-PAPR Waveform Design

no code implementations27 Sep 2021 Xiaoyan Hu, Christos Masouros, Fan Liu, Ronald Nissel

In this paper, we explore a dual-functional radar-communication (DFRC) system for achieving integrated sensing and communications (ISAC).

MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems

no code implementations AAAI Technical Track on Computer Vision I 2021 Xuan Dong, Xiaoyan Hu, Weixin Li, Xiaojie Wang;Yunhong Wang

In most of the related HDR imaging methods, the problem is usually solved by Multiple Images Merging, i. e. the final HDR image is fused from pixels of all the input LDR images.

Denoising Image Enhancement

Reconfigurable Intelligent Surface Aided Mobile Edge Computing: From Optimization-Based to Location-Only Learning-Based Solutions

no code implementations15 Feb 2021 Xiaoyan Hu, Christos Masouros, Kai-Kit Wong

In this paper, we explore optimization-based and data-driven solutions in a reconfigurable intelligent surface (RIS)-aided multi-user mobile edge computing (MEC) system, where the user equipment (UEs) can partially offload their computation tasks to the access point (AP).

Edge-computing

Joint Pose and Shape Estimation of Vehicles from LiDAR Data

no code implementations8 Sep 2020 Hunter Goforth, Xiaoyan Hu, Michael Happold, Simon Lucey

We address the problem of estimating the pose and shape of vehicles from LiDAR scans, a common problem faced by the autonomous vehicle community.

Geometry-Aware Instance Segmentation with Disparity Maps

1 code implementation14 Jun 2020 Cho-Ying Wu, Xiaoyan Hu, Michael Happold, Qiangeng Xu, Ulrich Neumann

Mask regression is based on 2D, 2. 5D, and 3D ROI using the pseudo-lidar and image-based representations.

 Ranked #1 on Instance Segmentation on Cityscapes val (using extra training data)

Instance Segmentation Semantic Segmentation

3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach

no code implementations CVPR 2015 Xiaowei Zhou, Spyridon Leonardos, Xiaoyan Hu, Kostas Daniilidis

We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a single image.

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