Unsupervised discovery of visual object class hierarchies by Sivic, J, Russell, BC, Zisserman, A, Freeman, WT, Efros, AA

“…Employing the multiple segmentation framework of Russell et al. [22], we show that meaningful object hierarchies, together with object segmentations, can be automatically learned from unlabeled and unsegmented image collections without supervision. …”

Extremely versatile deformability beyond materiality : a new material platform through simple cutting for rugged batteries by Kim, Kee-Bum, Lee, Young-Joo, Costa, Avelino, Lee, Yu-Ki, Jang, Tae-Sik, Lee, Myoung-Gyu, Joo, Young-Chang, Oh, Kyu Hwan, Song, Juha, Choi, In-Suk

“…The hierarchy and number of segmentations are the key parameters of the deformation mechanism for auxetic cut shape-reconfigurable battery systems. …”
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Elementwise overparameterisation for single and multi-task learning by Ribli, Vincent

“…In the field of autonomous vehicles, computer vision is used to solve multiple tasks such as semantic segmentation and object tracking. This can be challenging as the tasks need to be done at a high performance within a given latency threshold. …”
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Automatic and efficient long term arm and hand tracking for continuous sign language TV broadcasts by Pfister, T, Charles, J, Everingham, M, Zisserman, A

“…<br> Our contributions are (i) a co-segmentation algorithm that automatically separates the signer from any signed TV broadcast using a generative layered model; (ii) a method of predicting joint positions given only the segmentation and a colour model using a random forest regressor; and (iii) demonstrating that the random forest can be trained from an existing semi-automatic, but computationally expensive, tracker. …”

Discovering objects and their location in images by Sivic, J, Russell, BC, Efros, AA, Zisserman, A, Freeman, WT

“…It is demonstrated that this extended vocabulary gives a cleaner image segmentation. Finally, the classification and segmentation methods are applied to a set of images containing multiple objects per image. …”

Development of a vision-based gesture human-computer interface by Lim, Chun Ping.

“…With a few reasonable assumptions, this stage was achieved with 3 image processing techniques, namely background subtraction by codebook method, skin segmentation and contour convexity finding. To enhance the robustness of the system, a variant codebook method had been created to be used in skin segmentation. …”
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Hardware efficient algorithms and architectures for burst communications in cognitive radios by Syed Naveen Altaf Ahmed

“…To evaluate the proposed segmented schemes in terms of implementation hardware complexity, FPGA synthesis is conducted and results are presented.…”
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Design and development of image processing algorithms for quantitative road traffic data analysis by Krishnalal Puthiya Veettil.

“…Results comparison between different segmentation methods was performed to check the best detection method. …”
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Investigation of the image processing algorithms for medical applications by Nurul Hidayah Abdul Manan

“…Different segmentation techniques are used (i.e. K-means clustering, Fuzzy-C means clustering and Hierarchical clustering) to evaluate the performance.…”
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A platform-based product family design methodology for leverage differentation and cost benefits by Cai, Yanling

“…This thesis proposes an integrated framework within the scenario of market segmentation, which decides the inter-platform leverage against platform differentiation and the intra-platform design towards the minimal production cost.…”
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The 2005 PASCAL visual object classes challenge by Everingham, M, Zisserman, A, Williams, CKI, Van Gool, L, Allan, M, Bishop, CM, Chapelle, O, Dalal, N, Deselaers, T, Dorkó, G, Duffner, S, Eichhorn, J, Farquhar, JDR, Fritz, M, Garcia, C, Griffiths, T, Jurie, F, Keysers, D, Koskela, M, Laaksonen, J, Larlus, D, Leibe, B, Meng, H, Ney, H, Schiele, B, Schmid, C, Seemann, E, Shawe-Taylor, J, Storkey, A, Szedmak, S, Triggs, B, Ulusoy, I, Viitaniemi, V, Zhang, J

“…The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. …”

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer by Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang

“…Qritive's unique composite algorithm comprises both a deep learning model based on a Faster Region Based Convolutional Neural Network (Faster-RCNN) architecture for instance segmentation with a ResNet-101 feature extraction backbone that provides glandular segmentation, and a classical machine learning classifier. …”
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Study on muscle remodeling using in vivo microscopy of drosophila metamorphosis and quantitative image analysis by Kuleesha

“…Therefore, I designed a muscle segmentation technique which is capable of differentiating muscle and debris regions. …”
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Professional Attachment Report [with] Nanjing Spark plug factory (subsidiary of the Nanjing electroceramics factory). by Moy, Loh Cheak.

“…The contents have been accordingly segmented and can be referred from the Table Of Contents. …”
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Developing an Android application for medical imaging visualisation workflows by Low, Gabriel Zhi You

“…This Final Year Project focuses on the design and development of the Android application, and the integration of and improvements made to the existing frontend react web application, that allows users to view DICOM images, modify segmentation masks, and generate reports, with the aid of the existing PACS and backend server. …”
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Road sign recognition for assisting drivers by Poon, Wai Chung

“…In this paper, color segmentation is applied in YCbCr color space and shape detection is processed through blob analysis method. …”
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An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure by Seo, Bokyoung, Jung, Jueun, Han, Donghyeon, Lee, Kyuho

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Self-pretraining of 3D transformer variations with masked autoencoders for multiple instances in medical image analysis by Li, Linyuan

“…My experimental results show that self-supervised pre-training based on MAE markedly improves diverse downstream tasks including MRI brain tumor segmentation, abdominal CT multi-organ segmentation, chest X-ray disease classification and breast cancer detection.…”
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A CNN and diffusion based encoder-decoder model to extract fine-grained human vital waveforms from mmWave radar by Zuo, Jia

“…In prior research, some studies have leveraged Long Short-Term Memory (LSTM) networks or one-dimensional Convolutional Neural Networks (1D CNNs) for waveform segmentation, with limited success in recovering high-resolution waveforms. …”
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Computer aided diagnoses for detecting the severity of Keratoconus by Abdullah, Osamah Qays, Boughariou, Aicha, Al-Azawi, Fadia W., Al-Araji, Ahmed Mohammed Khadum Abdulamer, Mehdy, Mehdy Mwaffeq

“…The method had four main steps: preprocessing, image segmentation, morphological processing, and pathological ratio calculation. …”
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