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Chen, Qinyu (author), Wang, Zuowen (author), Liu, Shih Chii (author), Gao, C. (author)
This paper presents a sparse Change-Based Convolutional Long Short-Term Memory (CB-ConvLSTM) model for event-based eye tracking, key for next-generation wearable healthcare technology such as AR/VR headsets. We leverage the benefits of retina-inspired event cameras, namely their low-latency response and sparse output event stream, over...
conference paper 2023
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Liu, X. (author), van Gemert, J.C. (author), Nejadasl, Fatemeh Karimi (author), Booij, O. (author), Pintea, S. (author)
Objects in videos are typically characterized by continuous smooth motion. We exploit continuous smooth motion in three ways. 1) Improved accuracy by using object motion as an additional source of supervision, which we obtain by anticipating object locations from a static keyframe. 2) Improved efficiency by only doing the expensive feature...
conference paper 2023
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Guo, Rongge (author), Liu, X. (author), Bhatnagar, Saumya (author), Vallati, Mauro (author)
The integration of autonomous vehicles and on-demand customized bus systems is expected to be beneficial for responding to real-time demands. This paper investigates the autonomous customized bus (ACB) system that leverages passenger demand prediction to enhance service quality and vehicle utilization. A novel ACB service design optimization...
conference paper 2023
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Xue, Chaozhong (author), Dong, Y. (author), Liu, Jiaqi (author), Liao, Yijun (author), Li, Lingbo (author)
With social progress and the development of modern medical technology, the amount of medical waste generated is increasing dramatically. The problem of medical waste recycling and treatment has gradually drawn concerns from the whole society. The sudden outbreak of the COVID-19 epidemic further brought new challenges. To tackle the challenges,...
conference paper 2023
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Strafforello, O. (author), Liu, X. (author), Schutte, Klamer (author), van Gemert, J.C. (author)
Previous work on long-term video action recognition relies on deep 3D-convolutional models that have a large temporal receptive field (RF). We argue that these models are not always the best choice for temporal modeling in videos. A large temporal receptive field allows the model to encode the exact sub-action order of a video, which causes a...
conference paper 2023
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Mulders, S.P. (author), Brandetti, L. (author), Spagnolo, F. (author), Liu, Y. (author), Christensen, P.B. (author), van Wingerden, J.W. (author)
Wind turbine partial-load controllers have evolved from simple static nonlinear function implementations to more advanced dynamic controller structures. Such dynamic control schemes have the potential to improve power production performance in realistic environmental conditions and allow for a more granular trade-off between loads and energy...
conference paper 2023
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Liu, Z. (author), Doubrovski, E.L. (author), Geraedts, Jo M.P. (author), Yam, Y (author), Wang, W. (author), Wang, C.C.L. (author)
In this paper, we propose a method to reconstruct a digital 3D model of a stolen/damaged statue using photogrammetric methods. This task is challenging because the number of available photos for a stolen statue is in general very limited – especially the side/back view photos. Besides using standard structure-from-motion and multi-view stereo...
conference paper 2023
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Papadonikolaki, E. (author), Liu, Y. (author), Maritshane, Kirk (author), Chan, P.W.C. (author)
The digital transformation in project management is causing disruption on how the organizations recognize and value the skills and expertise of the new data-savvy talents in organization’s decision-making processes for improved project delivery. Existing research on digital transformation in projects has mainly focused on what technologies can...
conference paper 2023
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Jing, R. (author), Apostolidis, P. (author), Liu, X. (author), Naus, R. (author), Erkens, S. (author), Scarpas, Athanasios (author)
This research aims to evaluate the potential environmental impact of epoxy-modified asphalt used as a pavement material for roadways in the Netherlands and identify what determines the environmental performance of the epoxy asphalt technology through life cycle assessment. Results indicated that the incor-poration of epoxy binder in asphalt...
conference paper 2023
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Liu, Minne (author), Ibrahim, Mesfin S. (author), Wen, Minzhen (author), Li, Sheng (author), Wang, An (author), Zhang, Kouchi (author), Fan, J. (author)
Spectral power distribution (SPD) is the radiation power intensity at different wavelengths, containing the most basic photometric and colorimetric performance of the illuminant, which is able to predict the lifetime of LEDs. This paper proposes an SPD model assisted by machine learning algorithms to detect the early failure of white LEDs. The...
conference paper 2023
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Boonprakong, Nattapat (author), He, G. (author), Gadiraju, Ujwal (author), Van Berkel, Niels (author), Wang, Danding (author), Chen, Si (author), Liu, Jiqun (author), Tag, Benjamin (author), Goncalves, Jorge (author), Dingler, Tilman (author)
AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and...
conference paper 2023
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Qian, Cheng (author), Hu, D. (author), Liu, Xu (author), Fan, Xuejun (author), Zhang, Kouchi (author), Fan, J. (author)
Nano-metal materials sintering has received increasing attention in recent years for its promising performance in the wide bandgap semiconductor packaging. In this paper, molecular dynamics (MD) simulation method were applied to simulate the nano-Cu sintering mechanism and the subsequent mechanical behavior. Hybrid sintering, comprising...
conference paper 2023
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Huang, J. (author), Hong, C. (author), Liu, Yang (author), Chen, Lydia Y. (author), Roos, S. (author)
Federated learning (FL) enables collaborative learning between parties, called clients, without sharing the original and potentially sensitive data. To ensure fast convergence in the presence of such heterogeneous clients, it is imperative to timely select clients who can effectively contribute to learning. A realistic but overlooked case of...
conference paper 2023
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Wang, Zhe (author), Wu, Shilong (author), Chen, Hang (author), He, Mao-Kui (author), Du, Jun (author), Lee, Chin-Hui (author), Chen, Jingdong (author), Watanabe, Shinji (author), Siniscalchi, Sabato Marco (author), Scharenborg, O.E. (author), Liu, Diyuan (author)
The Multi-modal Information based Speech Processing (MISP) challenge aims to extend the application of signal processing technology in specific scenarios by promoting the research into wake-up words, speaker diarization, speech recognition, and other technologies. The MISP2022 challenge has two tracks: 1) audio-visual speaker diarization (AVSD),...
conference paper 2023
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Liu, Bin (author), Wang, Q. (author), Pollin, Sofie (author)
This paper presents a novel transparent amplifying intelligent surface (TAIS) architecture for uplink enhancement in indoor-to-outdoor mmWave communications. The TAIS is an amplifier-based transmissive intelligent surface that can refract and amplify the incident signal, instead of only refracting it with adjustable phase shift by most passive...
conference paper 2023
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Wang, Yiping (author), Li, Xueyuan (author), Liu, Qi (author), Li, Songhao (author), Luan, Tian (author), Li, Z. (author)
The skid-steered vehicle has the advantages of simple structure and strong maneuverability. Its formation driving can effectively improve safety, reduce energy consumption and exert its benefits, and has wide application prospects in military and civilian fields. Differential skid steering has strong horizontal and vertical coupling...
conference paper 2023
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Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge devices....
conference paper 2023
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Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Vision applications powered by deep neural networks (DNNs) are widely deployed on edge devices and solve the learning tasks of incoming data streams whose class label and input feature continuously evolve, known as domain shift. Despite its prominent presence in real-world edge scenarios, existing benchmarks used by domain adaptation methods...
conference paper 2023
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Spolaor, Riccardo (author), Liu, Hao (author), Turrin, Federico (author), Conti, M. (author), Cheng, Xiuzhen (author)
The literature and the news regularly report cases of exploiting Universal Serial Bus (USB) devices as attack tools for malware injections and private data exfiltration. To protect against such attacks, security researchers proposed different solutions to verify the identity of a USB device via side-channel information (e.g., timing or...
conference paper 2023
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Liu, Y.L. (author), Ortiz, Marco A. (author), Zhang, D. (author), Bluyssen, P.M. (author)
The airborne transmission of SARS-CoV-2 in educational buildings has raised concerns during the current COVID-19 pandemic. In this study, a portable fog generator system was designed and assembled to visualise the airflow pattern of exhaled droplets in a classroom. The system consists of five components: medium, fog generator, buffer, pump, and...
conference paper 2022
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