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Joy, Denzil (author)Cardiovascular diseases (CVDs) are a group of disorders of the heart and blood vessels.<br/>CVDs are the leading cause of death worldwide. To diagnose and treat CVDs, clinicians and cardiologists use multiple noninvasive imaging techniques. These scans are used to segment certain structures of the heart. Deep learning-based cardiac segmentation...master thesis 2023
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- Rol, Remy (author) master thesis 2023
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Edixhoven, Tom (author)In this work we show how Group Equivariant Convolutional Neural Networks use subsampling to learn to break equivariance to their symmetries. We focus on the 2D roto-translation group and investigate the impact of broken equivariance on network performance. We show that changing the input dimension of a network by as little as a single pixel can...master thesis 2023
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Optimizing Event-Based Vision by Realizing Super-Resolution in Event-Space: an Experimental ApproachŞabanoğlu, Mahir (author)An event-based camera enables capturing a video at a high temporal resolution, high dynamical range, reduced power consumption and minimal data bandwidth while the camera has minimal physical dimensions compared to a frame-based camera with the same vision properties. The limiting factor, however, of an event-based camera is the spatial...master thesis 2023
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Jia, T. (author), Kapelan, Z. (author), de Vries, Rinze (author), Vriend, Paul (author), Peereboom, Eric Copius (author), Okkerman, Imke (author), Taormina, R. (author)Plastic pollution in water bodies is an unresolved environmental issue that damages all aquatic environments, and causes economic and health problems. Accurate detection of macroplastic litter (plastic items >5 mm) in water is essential to estimate the quantities, compositions and sources, identify emerging trends, and design preventive...review 2023
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de Sonnaville, Rudolf (author)Background<br/>One of VDL most complex products is the Wafer Handler a machine with the function of thermal conditioning, centering and aligning wafers for the subsequent photolithography processes. The function of centering a wafer is performed by a submodule of the WH, the Centring Unit (cu) Currently the CU has two main limitations which make...master thesis 2022
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Jol, Cees (author)Strawberries have a short shelf-life time and thus need to be harvested at the right time to reduce waste. To this end, information about quality attributes is useful. Recently, many computer vision methods have been proposed. Most literature analyzes postharvest, which means that strawberries can only be analyzed after harvesting. As a result,...master thesis 2022
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Sitaldin, Dewwret (author)In the open world, machine learning (ML) models can encounter a multitude of unknown or novel classes. In a surveillance, safety, or security use case, unknown samples can pose potential threats that are hard to detect since those samples have never been trained on. At the same time, most of the unknowns that will be encountered by a...master thesis 2022
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POLYA RAMESH, CHINMAY (author)Camera-based patient monitoring is undergoing rapid adoption in the healthcare sector with the recent COVID-19 pandemic acting as a catalyst. It offers round-the-clock monitoring of patients in clinical units (e.g. ICUs, ORs), or at their homes through installed cameras, enabling timely, pre-emptive care. These are powered by Computer Vision...master thesis 2022
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Gudi, A.A. (author)Machines that interact with humans can do so better if they can also visually understand us, but they have limited resources to do so. The main topic of this dissertation is contrasting the use of resources by machine vision systems against the accuracy obtained by them. This thesis focuses on reducing the need for data, memory, and computation...doctoral thesis 2022
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Maskam, Richie (author)Various tasks in the construction industry are tedious due to the high amount of repetition or time-consuming nature. In recent years Deep Learning within computer vision has made it possible to automate various tasks using images. The Hoofdvaarweg Lemmer-Delfzijl has been assessed using images and a pointcloud. The images were being worked with...master thesis 2022
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Reinhard, Marko (author)To meet global market demands, it will remain important to further scale up photovoltaics (PV) production. During the production of solar cells, several defects can occur. Current approaches in quality inspection are reaching their speed limits. This thesis project evaluates the feasibility of faster quality inspection by using deep learning...master thesis 2022
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Tjiam, Yuan (author)Surgical teams use instrument counts to prevent leaving unintended objects in patients. This is done manually, but could potentially be done through computer vision software. This paper presents a proof of concept for detecting instruments in the operating room with the Scale Invariant Feature Transform (SIFT). The SIFT algorithm is explored and...master thesis 2022
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Zhang, QI (author)In image search, an algorithm tries to identify images in a database that are similar to a query image. Image search has numerous applications. For example, image search can help historians find images of a historical building from a large image database of buildings worldwide. Feature extraction and nearest neighbors methods are standard steps...master thesis 2022
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Eggers, Yvonne (author)Event cameras and spiking neural networks (SNNs) allow for a highly bio-inspired, low-latency and power efficient implementation of optic flow estimation. Just recently, a hierarchical SNN was proposed in which motion selectivity is learned from raw event data in an unsupervised manner using spike-timing-dependent plasticity (STDP). However,...master thesis 2022
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Bao, Ziyu (author)Regression is difficult because of noise, imbalanced data sampling, missing data, etc. We propose a method by classifying the continuous regression labels to tackle regression robustness problems. We analyze if our method can help regression, given that the class information is already included in the regression labels. We start by extensively...master thesis 2022
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Spasov, Mihail (author)Image registration is the process that overlays two or more images from different sources taken at different times and angles. Art conservators take various scans of paintings and then register them against the original in order to learn more about the working style of the artist, materials used and physical changes throughout time. This paper...bachelor thesis 2022
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de Rijk, Philip (author)Knowledge Distillation (KD) is a well-known training paradigm in deep neural networks where knowledge acquired by a large teacher model is transferred to a small student. KD has proven to be an effective technique to significantly improve the student's performance for various tasks including object detection. As such, KD techniques mostly rely...master thesis 2022
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Zhang, Xiangxie (author)Location information is essential for the ViT model. Image data has three types of location information: absolute location, relative direction, and relative distance. Various position embeddings methods have been used to introduce location information to the ViT model. Some existing methods are absolute position embeddings, relative position...master thesis 2022
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Demi, Arbër (author)Mind wandering occurs when a person’s attention unintentionally shifts away from their current thought or task. Being able to automatically detect cases of mind wandering can assist applications with attention retention, and help people with maintaining focus. Many methods have been tested to deal with mind-wandering detection, but they are...bachelor thesis 2022