Searched for: contributor%3A%22van+Gemert%2C+J.C.+%28graduation+committee%29%22
(1 - 20 of 38)

Pages

List view
Grid view
document
Şabanoğlu, 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
document
Lugtenburg, Jochem (author)
Auto-tagging systems can enrich music audio by providing contextual information in the form of tag predictions. Such context is valuable to solve problems within the MIR field. The majority of re- cent auto-tagging research, however, only considers a fraction of tags from the full set of available annotations in the original datasets. Because of...
master thesis 2022
document
te Nijenhuis, Frank (author)
The efficacy of endovascular therapy in large vessel occlusion (LVO) of the anterior circulation is dependent to a high degree on the selection of patients who are likely to benefit from this procedure. To this end, functional outcome prediction based on clinical parameters is an active area of research. In the preoperative screening of LVO...
master thesis 2022
document
Dai, Renjie (author)
Workflow analysis aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations can be made and evaluated by algorithms rather than human experts. For our study, we mount five calibrated cameras from different angles in a Catheterization Laboratory (Cath Lab) to...
master thesis 2022
document
Sharma, Agrim (author)
Traditionally, convolutional neural networks are feedforward networks with a deep and complex hierarchy. Conversely, the human brain has a relatively shallow hierarchy with recurrent connections. Replicating this recurrence may allow for shallower and easier to understand computer vision models that may possess characteristics usually attributed...
master thesis 2022
document
Shirekar, Ojas (author)
A primary trait of humans is the ability to learn rich representations and relationships between entities from just a handful of examples without much guidance. Unsupervised few-shot learning is an undertaking aimed at reducing this fundamental gap between smart human adaptability and machines. We present a contrastive learning scheme for...
master thesis 2022
document
Singh, Anuj (author)
The versatility to learn from a handful of samples is the hallmark of human intelligence. Few-shot learning is an endeavour to transcend this capability down to machines. Inspired by the promise and power of probabilistic deep learning, we propose a novel variational inference network for few-shot classification (coined as TRIDENT) to decouple...
master thesis 2022
document
Sangers, Ruben (author)
Contactless measurement of changes in blood volume by exploiting the color fluctuations in the face is a technique commonly referred to as remote photoplethysmography (rPPG). Recent developments show promising results for heart rate estimation from low-cost cameras, making applications in remote healthcare possible. Remote PPG applications in at...
master thesis 2022
document
Stroia, Marco (author)
Chromostereopsis is an optical illusion that allows 2D images to simulate depth based on color. For example, red is perceived to be closer than blue, when displayed on a black background. This effect is present because of the slight chromatic aberration caused by the eye lens, and it can be strengthened by the use of ChromaDepth® glasses. This...
bachelor thesis 2022
document
Sjerps, Thomas (author)
Chromostereoscopic images encode depth as colour, with the red part of the visible spectrum encoding nearby depths and the blue part encoding far-away depths. However, when encoding a regular image with its depth, the generated colours may not match with the original colours in the image. Following a user study, a technique has been developed...
bachelor thesis 2022
document
Geijsen, Kamron (author)
This paper presents a preliminary study of the set of trade-offs of UC-Berkley’s RISC-V instruction set architecture experiences, due to its lack of the Scaled Index addressing mode. The strong majority of the popular Instruction Sets such as x86, ARM, MIPS and PowerPC include relatively complex ways to calculate memory addresses (addressing...
bachelor thesis 2022
document
Westermann, Helena (author)
The following paper explores the use of chromostereopsis for the purpose of enhancing the perceived depth in photos. Contrary to previous work, this is achieved by using a continuous depth map as input and creating a natural-looking photo with enhanced depth even when viewed without any type of three dimension technology. This is the first...
bachelor thesis 2022
document
Verhoeff, Mike (author)
Chromastereoscopy makes use of special glasses to make its wearer see two slightly different images, one for each eye. With a properly created image this results in perceived depth. It does this by bending light dependent on its wavelength and in the opposite direction for each eye. When a ChromaDepth image is properly created most viewers...
bachelor thesis 2022
document
Gaidoukevitch, Vladislav (author)
Chromostereopsis is a visual illusion that can produce perceived 3D images through an effect caused by how humans see different wavelengths. ChromaDepth glasses may be worn to exploit this phenomenon and amplify the effect. Relative to other forms of stereoscopy, chromostereoscopy is lesser-known and has seen fewer applications. This paper seeks...
bachelor thesis 2022
document
Klazinga, Rembrandt (author)
Autoencoders seek to encode their input into a bottleneck of latent neurons, and then decode it to reconstruct the input. However, if the input data has an intrinsic dimension (ID) smaller than the number of latent neurons in the bottleneck, this encoding becomes redundant. <br/>In this paper, we study using the Early-Bird (EB) technique, a...
master thesis 2022
document
Falkena, Sieger (author)
Binary Neural Networks (BNNs) are receiving an upsurge of attention for bringing power-hungry deep learning towards edge devices. The traditional wisdom in this space is to employ sign(.) for binarizing featuremaps. We argue and illustrate that sign(.) is a uniqueness bottleneck, limiting information propagation throughout the network. To...
master thesis 2022
document
Huang, Wenxuan (author)
Supervised machine learning is a growing assistive framework for professional decision-making. Yet bias that causes unfair discrimination has already been presented in the datasets. This research proposes a method to reduce model unfairness during the machine learning training process without altering the sample value or the prediction value....
master thesis 2022
document
Tran, Tommy (author)
Semantic segmentation methods have been developed and applied to single images for object segmentation. However, for robotic applications such as high-speed agile Micro Air Vehicles (MAVs) in Autonomous Drone Racing (ADR), it is more interesting to consider temporal information as video sequences are correlated over time. In this work, we...
master thesis 2022
document
Bosma, Martijn (author)
Deep Neural Networks (DNNs) have the potential to make various clinical procedures more time-efficient by automating medical image segmentation; largely due to their strong, in some cases human-level, performance. The design of the best possible medical image segmentation DNN, however, is task-specific. Neural Architecture Search (NAS), i.e.,...
master thesis 2022
document
Foffano, Daniele (author)
Model-Based Reinforcement Learning (MBRL) algorithms solve sequential decision-making problems, usually formalised as Markov Decision Processes, using a model of the environment dynamics to compute the optimal policy. When dealing with complex environments, the environment dynamics are frequently approximated with function approximators (such as...
master thesis 2022
Searched for: contributor%3A%22van+Gemert%2C+J.C.+%28graduation+committee%29%22
(1 - 20 of 38)

Pages

List view
Grid view