no code implementations • 27 Apr 2024 • Zhongze Wang, Haitao Zhao, Jingchao Peng, Lujian Yao, Kaijie Zhao
ODCR aims to ensure that the haze-related features of the dehazing result closely resemble those of the clear image, while the haze-unrelated features align with the input hazy image.
no code implementations • 26 Jul 2023 • Zhongze Wang, Haitao Zhao, Lujian Yao, Jingchao Peng, Kaijie Zhao
In LB, we explore local density features from the dehazing residuals between hazy inputs and proposal images and introduce an Intermediate Dehazing Residual Feedforward (IDRF) module to update local features and pull them closer to clear image features.
no code implementations • 7 Jun 2023 • Lujian Yao, Haitao Zhao, Jingchao Peng, Zhongze Wang, Kaijie Zhao
We first introduce a Focus module employing bidirectional cascade which guides low-resolution and high-resolution features towards mid-resolution to locate and determine the scope of smoke, reducing the miss detection rate.
no code implementations • 9 Apr 2023 • Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu
Specifically, we first design a random sparsification algorithm to retain a fraction of the gradient elements in each client's local training, thereby mitigating the performance degradation induced by DP and and reducing the number of transmission parameters over wireless channels.
no code implementations • 28 Jan 2023 • Kaijie Zhao, Haitao Zhao, Zhongze Wang, Jingchao Peng, Zhengwei Hu
Exploring an approach that seeks to maximize the preservation of object points and their object-aware features is of particular significance.
no code implementations • 11 Jan 2023 • Jingchao Peng, Haitao Zhao, Kaijie Zhao, Zhongze Wang, Lujian Yao
Background reconstruction is one of the methods to deal with this problem.
no code implementations • 28 Sep 2022 • Jingchao Peng, Haitao Zhao, Kaijie Zhao, Zhongze Wang, Lujian Yao
To deal with this difficulty, this paper proposes a neural-network-based ISTD method called CourtNet, which has three sub-networks: the prosecution network is designed for improving the recall rate; the defendant network is devoted to increasing the precision rate; the jury network weights their results to adaptively balance the precision and recall rate.
1 code implementation • 9 Aug 2022 • Lantu Guo, Yu Wang, Yun Lin, Haitao Zhao, Guan Gui
Automatic modulation classification (AMC) is a key technique for designing non-cooperative communication systems, and deep learning (DL) is applied effectively to AMC for improving classification accuracy.
no code implementations • 21 Feb 2022 • Jun Liu, Haitao Zhao, Dongtang Ma, Kai Mei, Jibo Wei
In this paper, we aim to quantitatively analyze why DNNs can achieve comparable performance in the physical layer comparing with traditional techniques, and also drive their cost in terms of computational complexity.
no code implementations • 21 Dec 2021 • Jingchao Peng, Haitao Zhao, Zhengwei Hu, Kaijie Zhao, Zhongze Wang
In this paper, we propose a dynamic re-parameterization network (DRPN) to deal with the scale variation and balance the detection precision between small targets and large targets in infrared datasets.
no code implementations • 16 Sep 2021 • Jingchao Peng, Haitao Zhao, Zhengwei Hu
The key points of RGBT tracking lie in feature extraction and feature fusion of visible and infrared images.
Ranked #8 on Rgb-T Tracking on GTOT
no code implementations • 17 Jun 2021 • Xiang Tan, Li Zhou, Haijun Wang, Yuli Sun, Haitao Zhao, Boon-Chong Seet, Jibo Wei, Victor C. M. Leung
With the development of the 5G and Internet of Things, amounts of wireless devices need to share the limited spectrum resources.
Multi-agent Reinforcement Learning Reinforcement Learning (RL)
no code implementations • 2 Jun 2021 • Jun Liu, Haitao Zhao, Dongtang Ma, Kai Mei, Jibo Wei
Deep Neural Network (DNN)-based physical layer techniques are attracting considerable interest due to their potential to enhance communication systems.
1 code implementation • 12 Apr 2021 • Xiaochen Zhang, Haitao Zhao, Jun Xiong, Li Zhou, Jibo Wei
Machine learning (ML) has been widely used for efficient resource allocation (RA) in wireless networks.
no code implementations • 13 May 2020 • Haijun Wang, Haitao Zhao, Dongtang Ma, Jibo Wei
Diverse applications have witnessed the prevalence of unmanned aerial vehicles (UAVs) due to their agility and versatility.
1 code implementation • 29 Jan 2019 • Yuru Chen, Haitao Zhao, Zhengwei Hu
Second, the proposed ACAN aggregates both the image-level and pixel-level context information for depth estimation, where the former expresses the statistical characteristic of the whole image and the latter extracts the long-range spatial dependencies for each pixel.
Ranked #51 on Monocular Depth Estimation on NYU-Depth V2
1 code implementation • 12 Dec 2017 • Haitao Zhao
Since PCA-based methods assume that the monitored process is linear, nonlinear PCA models, such as autoencoder models and kernel principal component analysis (KPCA), has been proposed and applied to nonlinear process monitoring.