Colour transfer between images by Khor, Zi Yun

“…Additionally, the report will study the effectiveness of colour transfer when semantic image segmentation using a pre-trained neural network is used.…”
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The old newspaper project by Mao, Junke

“…The integrated model will perform object segmentation to extract the relevant components in the image, i.e., the headlines, embedded figures, etc, and performs OCR on these components accordingly. …”
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On efficient solution of large-size wire-grid structures in a complex environment by Lee, Yee Hui.

“…In this study, four numerical techniques (1) wavelet transform method (WTM) (2) modified fast multipole method (MFMM) (3) adaptive segmentation method (ASM) (4) weak coupling suppression method (WCSM) for the efficient solution of large-size electromagnetic (EM) problems have been studied. …”
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A model of intonational phonology of Singapore Malay by Diyana Hamzah

“…Taking into consideration the influence of segmental structure and information structure on the intonational contour, this study aims to develop a more comprehensive model of the intonational phonology of Singapore Malay within the Autosegmental-Metrical framework. …”
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Online OCR (optical character recognition) using NVIDIA Jetson platform by Joshua Kurniawan

“…Then it seeks to explain the process of feature extraction and text segmentation. Finally, the report explains the result of OCRTesseract when multiple variable in the images is change.…”
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Object recognition and pose estimation in robotic grasping system by Zhou, Jiadong

“…Specifically, two problems addressed in the system are: i) identification and segmentation of the objects in the scene images with a fully convolutional neural network called YOLO, and ii) determination of the objects’ 6D poses by performing geometry-based methods on the point clouds. …”
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A boundary-fragment-model for object detection by Opelt, A, Pinz, A, Zisserman, A

“…The generative aspect of the model is used to determine an approximate segmentation.</p> <p>We demonstrate the following results: (i) the BFM detector is able to represent and detect object classes principally defined by their shape, rather than their appearance; and (ii) in comparison with other published results on several object classes (airplanes, cars-rear, cows) the BFM detector is able to exceed previous performances, and to achieve this with less supervision (such as the number of training images).…”

SHREC’21: Quantifying shape complexity by Arslan, Mazlum Ferhat, Haridis, Alexandros, Rosin, Paul L., Tari, Sibel, Brassey, Charlotte, Gardiner, James D., Genctav, Asli, Genctav, Murat

“…The dataset consists of three collections: 1800 perturbed cube and sphere models classified into 4 categories, 50 shapes inspired from the fields of architecture and design classified into 2 categories, and the data from the Princeton Segmentation Benchmark, which consists of 19 natural object categories. …”
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Deep learning for scene flow estimation on point clouds: a survey and prospective trends by Li, Zhiqi, Xiang, Nan, Chen, Honghua, Zhang, Jianjun, Yang, Xiaosong

“…Furthermore, this paper investigates various higher-level scene understanding tasks, including object tracking, motion segmentation, etc. and concludes with an overview of foreseeable research trends for scene flow estimation.…”
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Causalqa: a causal framework for question answering by Dutta, Angshuk

“…Neural networks have proven their success in various fundamental applications such as object detection, image segmentation, image and text generation and several NLP tasks. …”
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Recognition of human actions by Xiao, Xu

“…Based on it, modification was implemented; instead of using whole MHI image to get Hu Moments, the MHI image of human body is segmented into 4 body parts – head, arm, torso and leg. …”
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Market outlook of VLCCs in the next 5 years by Cheah, Peifang.

“…This can be achieved by segmenting the market into 5 bands based on historical Time Charter Equivalent (TCE) namely very weak, weak, steady, strong and very strong condition and a forecast of the strength of the freight market will be derived (ie the band the market will fall in). …”
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Speech enhancement using auditory-based spectral amplitude estimators by Sekar Sathiya Narayanan.

“…The proposed estimator is applied to the noisy speech signal to obtain the enhanced speech signal and the objective measures of speech quality such as the segmental SNR (SNRseg) and the log-likelihood-ratio (LLR) are obtained. …”
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Vision enhancement using artificial intelligence techniques by Yu, Xiaohan

“…So they proposed an algorithm using super pixel segmentation to increase the robust of towards rain occlusion and fast camera motion. …”
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As firm as their foundations: creating transferable adversarial examples across downstream tasks with CLIP by Hu, A, Gu, J, Pinto, F, Kamnitsas, K, Torr, PHS

“…Solely based on open-sourced CLIP vision encoders, this method can produce highly effective adversaries that simultaneously fool more than 20 downstream models spanning 4 common vision-language tasks (semantic segmentation, object detection, image captioning and visual question-answering). …”

Generation of vascularized 3-dimensional (3D) kidney organoids from human pluripotent stem cells by Low, Jian Hui

“…Here, we present the establishment of a highly efficient protocol for differentiating hPSCs into kidney organoids comprised of segmented nephrons, vasculature, and interstitial cells. …”
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Semantic map for indoor positioning system (floorplan enhancement with semantic SLAM) by Lim, Han Quan

“…In combination with semantic segmentation, semantically labelled point clouds are possible. …”
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A two-stage automatic color thresholding technique by Pootheri, Shamna, Ellam, Daniel, Grübl, Thomas, Liu, Yang

“…Accurately performing background suppression in PCA boards facilitates the inspection of digital images with small objects of interest, such as text or microcontrollers on a PCA board. The segmentation of skin cancer lesions will help doctors to automate skin cancer detection. …”
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What does sounding Singaporean mean? by Tan, Charmaine Li Min

“…While there is no single prototype for sounding Singaporean, it is clear that our local accent differs from other Englishes from the segmental level.…”
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3-way respiratory sound classification using machine learning algorithms by Tu, Yixuan

“…This dissertation also shows the signal processing progress before the respiratory sound could be classified, which includes audio value extraction, data choosing, signal processing, segmentation, feature extraction, etc.…”
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