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Lin, P. (author), Liu, X. (author), Ren, S. (author), Li, Yi (author), Erkens, S. (author), Welvaarts, B. (author), Brouns, K. (author)
Developed by Delft University of Technology, the tri-component polyurethane modified cold binder (PMCB) displays impressive durability and strength in asphalt mixtures, showing promise as a reliable binder for cold in-place recycling. However, when applying PMCB for rapid, in-situ recycling, the presence of moisture in reclaimed asphalt...
conference paper 2024
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Pintea, S. (author), Lin, Y. (author), Dijkstra, Jouke (author), van Gemert, J.C. (author)
A number of computer vision deep regression approaches report improved results when adding a classification loss to the regression loss. Here, we explore why this is useful in practice and when it is beneficial. To do so, we start from precisely controlled dataset variations and data samplings and find that the effect of adding a classification...
conference paper 2023
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Lin, Zhaofeng (author), Patel, T.B. (author), Scharenborg, O.E. (author)
Whispering is a distinct form of speech known for its soft, breathy, and hushed characteristics, often used for private communication. The acoustic characteristics of whispered speech differ substantially from normally phonated speech and the scarcity of adequate training data leads to low automatic speech recognition (ASR) performance. To...
conference paper 2023
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Ma, Huidong (author), Zhong, Cheng (author), Sun, Hui (author), Chen, Danyang (author), Lin, H.X. (author)
The mobile element variant is a very important structural variant, accounting for a quarter of structural variants, and it is closely related to many issues such as genetic diseases and species diversity. However, few detection algorithms of mobile element variants have been developed on third-generation sequencing data. We propose an...
conference paper 2023
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Scharff, R.B.N. (author), Boonstra, D. (author), Willemet, L. (author), Lin, X. (author), Wiertlewski, M. (author)
Tactile sensing can provide access to information about the contact (i.e. slippage, surface feature, friction), which is out of reach of vision but crucial for manipulation. To access this information, a dense measurement of the deformation of soft fingertips is necessary. Recently, tactile sensors that rely on a camera looking at a deformable...
conference paper 2022
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Du, B. (author), Lin, Bin (author), Xie, Wei (author), Zhang, Weidong (author), Negenborn, R.R. (author), Pang, Y. (author)
This paper addresses the flexible formation problem for unmanned surface vehicles in the presence of obstacles. Building upon the leader-follower formation scheme, a hybrid line-of-sight based flexible platooning method is proposed for follower vehicle to keep tracking the leader ship. A fusion artificial potential field collision avoidance...
conference paper 2022
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Lin, Y. (author), Wiersma, R.T. (author), Pintea, S. (author), Hildebrandt, K.A. (author), Eisemann, E. (author), van Gemert, J.C. (author)
Deep learning has improved vanishing point detection in images. Yet, deep networks require expensive annotated datasets trained on costly hardware and do not generalize to even slightly different domains, and minor problem variants. Here, we address these issues by injecting deep vanishing point detection networks with prior knowledge. This...
conference paper 2022
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Verdecchia, Roberto (author), Cruz, Luis (author), Sallou, June (author), Lin, Michelle (author), Wickenden, James (author), Hotellier, Estelle (author)
With the growing availability of large-scale datasets, and the popularization of affordable storage and computational capabilities, the energy consumed by AI is becoming a growing concern. To address this issue, in recent years, studies have focused on demonstrating how AI energy efficiency can be improved by tuning the model training strategy....
conference paper 2022
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Li, Z. (author), Lin, Yunlong (author), Cheng, Gong (author), Wang, X. (author), Liu, Qi (author), Gong, Jianwei (author), Lu, Chao (author)
Precisely modeling interactions and accurately predicting trajectories of surrounding vehicles are essential to the decision-making and path-planning of intelligent vehicles. This paper proposes a novel framework based on ensemble learning to improve the performance of trajectory predictions in interactive scenarios. The framework is termed...
conference paper 2022
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Li, Mingqi (author), Chen, Huisu (author), Lin, Jianjun (author)
Porous networks provide the main transport channels to the active media, which will damage the microstructure and then lead to a subsequent reduction in the strength, serviceability and aesthetic of porous materials. The connectivity of the porous network plays an essential role in the transport properties of these active media. In statistic...
conference paper 2021
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Lin, Y. (author), Pintea, S. (author), van Gemert, J.C. (author)
Current work on lane detection relies on large manually annotated datasets. We reduce the dependency on annotations by leveraging massive cheaply available unlabelled data. We propose a novel loss function exploiting geometric knowledge of lanes in Hough space, where a lane can be identified as a local maximum. By splitting lanes into separate...
conference paper 2021
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Lin, Hubert (author), van Zuijlen, M.J.P. (author), Pont, S.C. (author), Wijntjes, M.W.A. (author), Bala, Kavita (author)
A common strategy for improving model robustness is through data augmentations. Data augmentations encourage models to learn desired invariances, such as invariance to horizontal flipping or small changes in color. Recent work has shown that arbitrary style transfer can be used as a form of data augmentation to encourage invariance to textures...
conference paper 2021
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Ren, S. (author), Liu, X. (author), Lin, P. (author), Erkens, S. (author)
This study elaborates the influence of blends formulated by waste oil (WO) and styrene-butadiene rubber (SBR) on thermo-mechanical and chemical compositional characteristics of rejuvenated bitumen. The results show that both WEO (waste engine oil) and WCO (waste cooking oil) can compensate viscous component for reclaimed bitumen, and the effect...
conference paper 2021
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Lin, Vanessa Z. (author), Parkin, S.E. (author)
Smart assistant devices (such as Amazon Echo or Google Home) have notable differences to more conventional consumer computing devices. They can be used through voice control as well as physical interaction, and are often positioned as a shared device within a home environment. We conduct an exploratory online survey with 97 UK-based users of...
conference paper 2021
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Lin, Q. (author), Verwer, S.E. (author), Kooij, Robert (author), Mathur, Aditya (author)
The availability of high-quality benchmark datasets is an important prerequisite for research and education in the cyber security domain. Datasets from realistic systems offer a platform for researchers to develop and test novel models and algorithms. Such datasets also offer students opportunities for active and project-centric learning. In...
conference paper 2020
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Lin, Jiahao (author), Zhu, H. (author), Alonso-Mora, J. (author)
In this paper, we present an on-board vision-based approach for avoidance of moving obstacles in dynamic environments. Our approach relies on an efficient obstacle detection and tracking algorithm based on depth image pairs, which provides the estimated position, velocity and size of the obstacles. Robust collision avoidance is achieved by...
conference paper 2020
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Clancy, Ryan (author), Ferro, Nicola (author), Hauff, C. (author), Lin, Jimmy (author), Sakai, Tetsuya (author), Wu, Ze Zhong (author)
conference paper 2019
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Clancy, Ryan (author), Ferro, Nicola (author), Hauff, C. (author), Lin, Jimmy (author), Sakai, Tetsuya (author), Wu, Ze Zhong (author)
The Open-Source IR Replicability Challenge (OSIRRC 2019), organized as a workshop at SIGIR 2019, aims to improve the replicability of ad hoc retrieval experiments in information retrieval by gathering a community of researchers to jointly develop a common Docker specification and build Docker images that encapsulate a diversity of systems and...
conference paper 2019
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Sprong, J. P. (author), Lin, X. (author), Maestre, J. M. (author), Negenborn, R.R. (author)
Controlling food quality and reducing waste is one of the most challenging tasks in the food industry, as it is facing high rates of wastage, leading to negative environmental impact. This research focuses on improving the scheduling and control of the supply chain of Irish lamb meat using real-time quality and temperature information....
conference paper 2019
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Wang, S. (author), Correia, Gonçalo (author), Lin, H.X. (author)
The introduction of the concept of a fleet of shared autonomous vehicle (SAVs) which function as a centralized taxi service system presents an innovative way in transport modes. A fleet of SAVs can provide tailored on-demand services via a centralized operation to serve travel demand over time. In our study, An agent-based model (ABM) is...
conference paper 2018
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