1 code implementation • 13 Jan 2025 • Xianping Ma, Ziyao Wang, Yin Hu, Xiaokang Zhang, Man-on Pun
Semantic segmentation plays a crucial role in remote sensing applications, where the accurate extraction and representation of features are essential for high-quality results.
1 code implementation • 15 Oct 2024 • Xianping Ma, Xiaokang Zhang, Man-on Pun, Bo Huang
Building upon recent advancements in vision foundation models, particularly the Segment Anything Model (SAM), this study introduces a novel Multimodal Adapter-based Network (MANet) for multimodal remote sensing semantic segmentation.
no code implementations • 10 Sep 2024 • Yin Hu, Xianping Ma, Jialu Sui, Man-on Pun
Semantic segmentation is a vital task in the field of remote sensing (RS).
2 code implementations • 8 Jul 2024 • Aoyu Pang, Maonan Wang, Man-on Pun, Chung Shue Chen, Xi Xiong
However, the existing RL-based TSC system often overlooks imperfect observations caused by degraded communication, such as packet loss, delays, and noise, as well as rare real-life events not included in the reward function, such as unconsidered emergency vehicles.
1 code implementation • 12 Jun 2024 • Maonan Wang, YiRong Chen, Yuheng Kan, Chengcheng Xu, Michael Lepech, Man-on Pun, Xi Xiong
Traffic congestion in urban areas is a significant problem, leading to prolonged travel times, reduced efficiency, and increased environmental concerns.
1 code implementation • 6 Apr 2024 • Xianping Ma, Xiaokang Zhang, Xingchen Ding, Man-on Pun, Siwei Ma
Unsupervised domain adaptation (UDA) techniques are vital for semantic segmentation in geosciences, effectively utilizing remote sensing imagery across diverse domains.
1 code implementation • 3 Apr 2024 • Xianping Ma, Xiaokang Zhang, Man-on Pun
Experimental results on two widely used datasets, ISPRS Vaihingen and LoveDA Urban, demonstrate the effectiveness and potential of the proposed RS3Mamba.
1 code implementation • 17 Mar 2024 • Jialu Sui, Xianping Ma, Xiaokang Zhang, Man-on Pun
However, the high-frequency details generated by DDPM often suffer from misalignment with HR images due to the model's tendency to overlook long-range semantic contexts.
1 code implementation • 14 Mar 2024 • Qianqian Wu, Xianping Ma, Jialu Sui, Man-on Pun
The proposed method introduces a novel Dual-stream Fusion framework for LCZ classification (DF4LCZ), integrating instance-based location features from Google imagery with the scene-level spatial-spectral features extracted from Sentinel-2 imagery.
1 code implementation • 13 Mar 2024 • Maonan Wang, Aoyu Pang, Yuheng Kan, Man-on Pun, Chung Shue Chen, Bo Huang
Specifically, a hybrid framework that augments LLMs with a suite of perception and decision-making tools is proposed, facilitating the interrogation of both the static and dynamic traffic information.
1 code implementation • 25 Jan 2024 • Jialu Sui, Yiyang Ma, Wenhan Yang, Xiaokang Zhang, Man-on Pun, Jiaying Liu
The presence of cloud layers severely compromises the quality and effectiveness of optical remote sensing (RS) images.
1 code implementation • 8 Dec 2023 • Maonan Wang, Xi Xiong, Yuheng Kan, Chengcheng Xu, Man-on Pun
Traffic congestion is a persistent problem in urban areas, which calls for the development of effective traffic signal control (TSC) systems.
2 code implementations • 5 Dec 2023 • Xianping Ma, Qianqian Wu, Xingyu Zhao, Xiaokang Zhang, Man-on Pun, Bo Huang
Furthermore, the boundary loss capitalizes on the distinctive features of SGB by directing the model's attention to the boundary information of the object.
1 code implementation • 6 Jun 2023 • Yihan Wen, Xianping Ma, Xiaokang Zhang, Man-on Pun
Furthermore, the Difference Conditional Encoder (DCE), is designed to guide the generation of CD maps by exploiting multi-level difference features.
1 code implementation • Jounal 2023 • Jialu Sui, Xianping Ma, Xiaokang Zhang, Man-on Pun
To cope with this problem, this work proposes a novel global context-driven residual dense network (GCRDN) for satellite image SR based on the encoder and decoder architecture.
1 code implementation • 24 Oct 2022 • Maonan Wang, Yutong Xu, Xi Xiong, Yuheng Kan, Chengcheng Xu, Man-on Pun
In this paper, we propose a novel reinforcement learning approach with augmented data (ADLight) to train a universal model for intersections with different structures.
no code implementations • 8 Mar 2022 • Mingqi Yuan, Man-on Pun, Dong Wang
One of the most critical challenges in deep reinforcement learning is to maintain the long-term exploration capability of the agent.
no code implementations • 30 Dec 2020 • Mingqi Yuan, Qi Cao, Man-on Pun, Yi Chen
In this work, we develop practical user scheduling algorithms for downlink bursty traffic with emphasis on user fairness.