no code implementations • 27 Dec 2023 • Zenghui Zhang
A sharp inequality for $\ell_p$ quasi-norm with $0<p\leq 1$ and $\ell_q$-norm with $q>1$ is derived, which shows that the difference between $\|\textbf{\textit{x}}\|_p$ and $\|\textbf{\textit{x}}\|_q$ of an $n$-dimensional signal $\textbf{\textit{x}}$ is upper bounded by the difference between the maximum and minimum absolute value in $\textbf{\textit{x}}$.
no code implementations • 26 Dec 2023 • Qinghui Lu, Zhen Du, Zenghui Zhang
Conventional orthogonal frequency division multiplexing (OFDM) waveform design in integrated sensing and communications (ISAC) systems usually selects the channels with high-frequency responses to transmit communication data, which does not fully consider the possible interference in the environment.
no code implementations • 1 May 2023 • Zhen Du, Fan Liu, Yunxin Li, Weijie Yuan, Yuanhao Cui, Zenghui Zhang, Christos Masouros, Bo Ai
Connected and autonomous vehicle (CAV) networks face several challenges, such as low throughput, high latency, and poor localization accuracy.
no code implementations • 5 Feb 2023 • Tao Wang, Kean Chen, Weiyao Lin, John See, Zenghui Zhang, Qian Xu, Xia Jia
As such, we propose a novel framework that can effectively predict and mask-out the noisy and confusing detection results before associating the objects into trajectories.
1 code implementation • ICCV 2023 • Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada
Besides, our colour quantisation method also offers an efficient quantisation method that effectively compresses the image storage while maintaining high performance in high-level recognition tasks such as classification and detection.
1 code implementation • 5 Aug 2022 • Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada
Image restoration algorithms such as super resolution (SR) are indispensable pre-processing modules for object detection in low quality images.
2 code implementations • ICCV 2021 • Ziteng Cui, Guo-Jun Qi, Lin Gu, ShaoDi You, Zenghui Zhang, Tatsuya Harada
To enhance object detection in a dark environment, we propose a novel multitask auto encoding transformation (MAET) model which is able to explore the intrinsic pattern behind illumination translation.
Ranked #1 on 2D Object Detection on ExDark
no code implementations • 14 Apr 2022 • Shenghan Su, Ziteng Cui, Weiwei Guo, Zenghui Zhang, Wenxian Yu
Deep learning methods exhibit outstanding performance in synthetic aperture radar (SAR) image interpretation tasks.
no code implementations • 7 Jan 2022 • Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada
Image restoration algorithms such as super resolution (SR) are indispensable pre-processing modules for object detection in degraded images.
no code implementations • 19 Nov 2021 • Zhen Du, Fan Liu, Weijie Yuan, Christos Masouros, Zenghui Zhang, Shuqiang Xia, Giuseppe Caire
The first stage is exploited for ISAC transmission, where a wide beam is adopted for both communication and sensing.