Zobrazeno 1 - 10
of 185
pro vyhledávání: '"LIU Lihao"'
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 5, Pp 83-90 (2023)
Nickel-cadmium alkaline batteries are the core energy source for auxiliary devices of electric multiple units. Hence, an accurate estimation of their state of charge (SOC) is significantly important for prolonging battery life and improving energy ef
Externí odkaz:
https://doaj.org/article/0a17085cecdc48bf8e0d4e9299ee7e64
Scenario-based virtual testing is one of the most significant methods to test and evaluate the safety of automated driving systems (ADSs). However, it is impractical to enumerate all concrete scenarios in a logical scenario space and test them exhaus
Externí odkaz:
http://arxiv.org/abs/2412.00517
Diffusion models have shown the great potential in the point cloud registration (PCR) task, especially for enhancing the robustness to challenging cases. However, existing diffusion-based PCR methods primarily focus on instance-level scenarios and st
Externí odkaz:
http://arxiv.org/abs/2411.15271
Autor:
Yang, Hui-Yue, Chen, Hui, Liu, Lihao, Lin, Zijia, Chen, Kai, Wang, Liejun, Han, Jungong, Ding, Guiguang
Unsupervised anomaly detection (AD) aims to train robust detection models using only normal samples, while can generalize well to unseen anomalies. Recent research focuses on a unified unsupervised AD setting in which only one model is trained for al
Externí odkaz:
http://arxiv.org/abs/2409.06285
In this paper, part of the DREAMING Challenge - Diminished Reality for Emerging Applications in Medicine through Inpainting, we introduce a refined video inpainting technique optimised from the ProPainter method to meet the specialised demands of med
Externí odkaz:
http://arxiv.org/abs/2406.02287
Over the past years, YOLOs have emerged as the predominant paradigm in the field of real-time object detection owing to their effective balance between computational cost and detection performance. Researchers have explored the architectural designs,
Externí odkaz:
http://arxiv.org/abs/2405.14458
Autor:
Liu, Jiuming, Han, Jinru, Liu, Lihao, Aviles-Rivero, Angelica I., Jiang, Chaokang, Liu, Zhe, Wang, Hesheng
Point cloud videos can faithfully capture real-world spatial geometries and temporal dynamics, which are essential for enabling intelligent agents to understand the dynamically changing world. However, designing an effective 4D backbone remains chall
Externí odkaz:
http://arxiv.org/abs/2405.14338
Recent advances in deep learning have significantly improved brain tumour segmentation techniques; however, the results still lack confidence and robustness as they solely consider image data without biophysical priors or pathological information. In
Externí odkaz:
http://arxiv.org/abs/2403.09136
Autor:
Liu, Lihao, Cheng, Yanqi, Chen, Dongdong, He, Jing, Liò, Pietro, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I
Traffic videos inherently differ from generic videos in their stationary camera setup, thus providing a strong motion prior where objects often move in a specific direction over a short time interval. Existing works predominantly employ generic video
Externí odkaz:
http://arxiv.org/abs/2311.10092
Autor:
Yang, Yijun, Wang, Shujun, Liu, Lihao, Hickman, Sarah, Gilbert, Fiona J, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I.
Breast cancer is a major cause of cancer death among women, emphasising the importance of early detection for improved treatment outcomes and quality of life. Mammography, the primary diagnostic imaging test, poses challenges due to the high variabil
Externí odkaz:
http://arxiv.org/abs/2308.01057