1 code implementation • 8 Jun 2023 • Xinhang Li, Yiying Yang, Zheng Yuan, Zhe Wang, Qinwen Wang, Chen Xu, Lei LI, Jianhua He, Lin Zhang
For the more challenging problem of pursuing multiple evading vehicles, these algorithms typically select a fixed target evading vehicle for pursuing vehicles without considering dynamic traffic situation, which significantly reduces pursuing success rate.
no code implementations • 28 Mar 2022 • Xuedou Xiao, Juecheng Zhang, Wei Wang, Jianhua He, Qian Zhang
Existing compression algorithms are not fit for semantic segmentation, as the lack of obvious and concentrated regions of interest (RoIs) forces the adoption of uniform compression strategies, leading to low compression ratios or accuracy.
1 code implementation • 18 Mar 2021 • Zheng Huang, Kai Chen, Jianhua He, Xiang Bai, Dimosthenis Karatzas, Shjian Lu, C. V. Jawahar
In this competition, we set up three tasks, namely, Scanned Receipt Text Localisation (Task 1), Scanned Receipt OCR (Task 2) and Key Information Extraction from Scanned Receipts (Task 3).
Key Information Extraction Optical Character Recognition (OCR) +1
no code implementations • 26 Dec 2020 • Xiaosha Chen, Supeng Leng, Jianhua He, Longyu Zhou
New channel access algorithms and intelligent control schemes for connected vehicles are needed for 6G supported CAV.
no code implementations • 14 Dec 2020 • Md. Noor-A-Rahim, Zilong Liu, Haeyoung Lee, M. Omar Khyam, Jianhua He, Dirk Pesch, Klaus Moessner, Walid Saad, H. Vincent Poor
Aiming for truly intelligent transportation systems, we envision that machine learning will play an instrumental role for advanced vehicular communication and networking.
Autonomous Vehicles Information Theory Networking and Internet Architecture Information Theory
no code implementations • 2 Oct 2020 • Jianhua He, Kun Yang, Hsiao-Hwa Chen
With 5G mobile communication systems been commercially rolled out, research discussions on next generation mobile systems, i. e., 6G, have started.