Searched for: author%3A%22Dauwels%2C+J.H.G.%22
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Zhang, Rongkai (author), Zhang, Cong (author), Cao, Zhiguang (author), Song, Wen (author), Tan, Puay Siew (author), Zhang, Jie (author), Wen, Bihan (author), Dauwels, J.H.G. (author)
We propose a manager-worker framework (the implementation of our model is publically available at: https://github.com/zcaicaros/manager-worker-mtsptwr) based on deep reinforcement learning to tackle a hard yet nontrivial variant of Travelling Salesman Problem (TSP), i.e. multiple-vehicle TSP with time window and rejections (mTSPTWR), where...
journal article 2023
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Peh, Wei Yan (author), Thangavel, Prasanth (author), Yao, Yuanyuan (author), Thomas, John (author), Tan, Yee Leng (author), Dauwels, J.H.G. (author)
Neurologists typically identify epileptic seizures from electroencephalograms (EEGs) by visual inspection. This process is often time-consuming, especially for EEG recordings that last hours or days. To expedite the process, a reliable, automated, and patient-independent seizure detector is essential. However, developing a patient-independent...
journal article 2023
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Santra, Avik (author), Pandharipande, Ashish (author), Wang, Pu Perry (author), Gurbuz, Sevgi Zubeyde (author), Ibanez-Guzman, Javier (author), Cheng, Chih Hong (author), Dauwels, J.H.G. (author), Li, Guofa (author)
contribution to periodical 2023
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Pandharipande, Ashish (author), Cheng, Chih Hong (author), Dauwels, J.H.G. (author), Gurbuz, Sevgi Z. (author), Ibanez-Guzman, Javier (author), Li, Guofa (author), Piazzoni, Andrea (author), Wang, Pu (author), Santra, Avik (author)
Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such as cameras, radars, and light detection and...
journal article 2023
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Gannot, Sharon (author), Tan, Zheng Hua (author), Haardt, Martin (author), Chen, Nancy F. (author), Wai, Hoi To (author), Tashev, Ivan (author), Kellermann, Walter (author), Dauwels, J.H.G. (author)
In the last decade, the signal processing (SP) community has witnessed a paradigm shift from model-based to data-driven methods. Machine learning (ML) - more specifically, deep learning - methodologies are nowadays widely used in all SP fields, e.g., audio, speech, image, video, multimedia, and multimodal/multisensor processing, to name a few...
journal article 2023
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Grandey, Benjamin S. (author), Koh, Zhi Yang (author), Samanta, Dhrubajyoti (author), Horton, Benjamin P. (author), Dauwels, J.H.G. (author), Chew, Lock Yue (author)
Global climate models are susceptible to drift, causing spurious trends in output variables. Drift is often corrected using data from a control simulation. However, internal climate variability within the control simulation introduces uncertainty to the drift correction process. To quantify this drift uncertainty, we develop a probabilistic...
journal article 2023
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Bi, Haoran (author), Kyryliuk, Maksym (author), Wang, Zhiyi (author), Meo, C. (author), Wang, Y. (author), Imhoff, Ruben (author), Uijlenhoet, R. (author), Dauwels, J.H.G. (author)
Nowcasting is an observation-based method that uses the current state of the atmosphere to forecast future weather conditions over several hours. Recent studies have shown the promising potential of using deep learning models for precipitation nowcasting. In this paper, novel deep generative models are proposed for precipitation nowcasting....
conference paper 2023
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Zeng, Jinchen (author), Butler, R.M. (author), van den Dobbelsteen, J.J. (author), Hendriks, B.H.W. (author), van der Elst, M. (author), Dauwels, J.H.G. (author)
In this paper, we aim to design an automatic camera pose estimation pipeline for clinical spaces such as catheterization laboratories. Our proposed pipeline exploits Scaled-YOLOv4 to detect fixed objects. We adopt the self-supervised key-point detector SuperPoint in combination with SuperGlue, a keypoint matching technique based on graph neural...
conference paper 2023
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Wang, Y. (author), Liu, Letao (author), Dauwels, J.H.G. (author)
Slot attention has shown remarkable object-centric representation learning performance in computer vision tasks without requiring any supervision. Despite its object-centric binding ability brought by compositional modelling, as a deterministic module, slot attention lacks the ability to generate novel scenes. In this paper, we propose the...
journal article 2023
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van der Sar, Iris G. (author), van Jaarsveld, Nynke (author), Spiekerman, Imme A. (author), Toxopeus, Floor J. (author), Langens, Quint L. (author), Wijsenbeek, Marlies S. (author), Dauwels, J.H.G. (author), Moor, Catharina C. (author)
Electronic nose (eNose) technology is an emerging diagnostic application, using artificial intelligence to classify human breath patterns. These patterns can be used to diagnose medical conditions. Sarcoidosis is an often difficult to diagnose disease, as no standard procedure or conclusive test exists. An accurate diagnostic model based on...
journal article 2023
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Chua, Victoria Y.H. (author), Liu, Hexin (author), Perera, Leibny Paola Garcia (author), Woon, Fei Ting (author), Wong, Jinyi (author), Zhang, X. (author), Khudanpur, Sanjeev (author), Khong, Andy W.H. (author), Dauwels, J.H.G. (author), Styles, Suzy J. (author)
To enhance the reliability and robustness of language identification (LID) and language diarization (LD) systems for heterogeneous populations and scenarios, there is a need for speech processing models to be trained on datasets that feature diverse language registers and speech patterns. We present the MERLIon CCS challenge, featuring a...
journal article 2023
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Styles, Suzy J. (author), Chua, Victoria Y.H. (author), Woon, Fei Ting (author), Liu, Hexin (author), Perera, Leibny Paola Garcia (author), Khudanpur, Sanjeev (author), Khong, Andy W.H. (author), Dauwels, J.H.G. (author)
Language development experts need tools that can automatically identify languages from fluent, conversational speech and provide reliable estimates of usage rates at the level of an individual recording. However, LID systems are typically evaluated on metrics such as equal error rate and balanced accuracy, applied at the level of an entire...
journal article 2023
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Piazzoni, Andrea (author), Cherian, Jim (author), Dauwels, J.H.G. (author), Chau, Lap Pui (author)
Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One particular challenge is the problem of including the Sensing and Perception (S&P) subsystem into the virtual simulation loop in an efficient and effective manner....
journal article 2023
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Nagavarapu, Sarat Chandra (author), Abraham, Anuj (author), Selvaraj, Nithish Muthuchamy (author), Dauwels, J.H.G. (author)
Autonomous vehicles (AV) are one of the greatest technological advancements of this decade and a giant leap in the transportation industry and mobile robotics. Autonomous vehicles face several major challenges in achieving higher levels of autonomy. One of these is to find a fast and reliable algorithm to process the sensor data so that the...
conference paper 2023
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Wijnands, R. (author), Dauwels, J.H.G. (author), Serra, Ines (author), Kruizinga, P. (author), Badura, Aleksandra (author), Hunyadi, Borbala (author)
Functional ultrasound (fUS) is a novel neuroimaging technique that measures brain hemodynamics through a time series of Doppler images. The measured spatiotemporal hemodynamic changes reflect changes in neural activity through the neurovascular coupling (NVC). Often, such image time series is used to analyze dynamic functional connectivity ...
conference paper 2023
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Liu, Letao (author), Jiang, Xudong (author), Saerbeck, Martin (author), Dauwels, J.H.G. (author)
This paper proposes a Recurrent Affine Transform Encoder (RATE) that can be used for image representation learning. We propose a learning architecture that enables a CNN encoder to learn the affine transform parameter of images. The proposed learning architecture decomposes an affine transform matrix into two transform matrices and learns them...
journal article 2022
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Yu, Hang (author), Wu, Songwei (author), Dauwels, J.H.G. (author)
Estimating a sequence of dynamic undirected graphical models, in which adjacent graphs share similar structures, is of paramount importance in various social, financial, biological, and engineering systems, since the evolution of such networks can be utilized for example to spot trends, detect anomalies, predict vulnerability, and evaluate...
journal article 2022
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Lee, Kelvin (author), Jiang, Yu (author), Ceder, Avishai (Avi) (author), Dauwels, J.H.G. (author), Su, Rong (author), Nielsen, Otto Anker (author)
With the emergence of innovations associated with public transport (PT) services, such as Mobility-as-a-Service, demand responsive transit, and autonomous vehicles, the door-to-door PT journey is achievable via multiple transfers between and within different PT modes. As such, seamless transfers between different modes of public...
journal article 2022
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Helmers, Eckard (author), Chang, Chia Chien (author), Dauwels, J.H.G. (author)
Universities, as innovation drivers in science and technology worldwide, should attempt to become carbon-neutral institutions and should lead this transformation. Many universities have picked up the challenge and quantified their carbon footprints; however, up-to-date quantification is limited to use-phase emissions. So far, data on embodied...
journal article 2022
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Jiang, Y. (author), Dai, R. (author), Zeng, J. (author), Butler, R.M. (author), Vijfvinkel, T.S. (author), Wang, Y. (author), van den Dobbelsteen, J.J. (author), van der Elst, M. (author), Dauwels, J.H.G. (author)
Workflow analysis is a young research field that has been gaining traction in recent years. Work in this field aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations are made and evaluated by algorithms rather than human experts. For our study, we mount...
conference paper 2022
Searched for: author%3A%22Dauwels%2C+J.H.G.%22
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