Variational mesh decomposition by Zhang, Juyong, Zheng, Jianmin, Wu, Chunlin, Cai, Jianfei

“…The problem of decomposing a 3D mesh into meaningful segments (or parts) is of great practical importance in computer graphics. …”
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Signs in science : despair and emptiness. by Tham, Tammy Samantha.

“…The characters experience intensified fragmentation and loss when they become aware that they live in a world of simulation. …”
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Weakly supervised learning on road area extraction via classification labels by Liu, Xuanyi

“…Then a gated fusion mechanism aggregates CAM and the segmentation branch’s pixel-level segmentation results to refine an output, supervised by some pseudo labels generated from road centerlines. …”
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Heart cycles using heart sounds by Ng, Jia Long

“…Hence, the first step is to implement and study a reliable method in finding heart sound segmentation. Then, further diagnostic technology can be researched using these segmentation data as it provides an exact location of the heart sound in each heart cycle. …”
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Inhomogeneity correction of magnetic resonance brain images by Chua, Zin Yan

“…In this research, we are focusing on techniques to correct the intensity inhomogeneity by performing a coarse preliminary segmentation on the MR images and then use the segmentation result to estimate the bias field. [3rd Award]…”
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Semantic scene understanding on 3D point clouds by Dong, Shichao

“…Using regional purity can simultaneously prevent under-segmentation and over-segmentation problems during clustering. …”
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Meta-Learning Frameworks for Imaging Applications / by Sharma, Ashok, 1977-, editor 319639, Sengar, Sandeep Singh, 1985-, editor 656390, Singh, Parveen, 1976-, editor 656391, IGI Global Scientific Publishing (Online service) 655412

“…One critical topic in imaging is image segmentation, and the book explores how a meta-learning-based framework can help identify the best image segmentation algorithm, which would be particularly beneficial in the healthcare domain. …”
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Automated colorization of animated characters by Lin, Jiajun

“…Additionally, image segmentation models, including PSANet and PSPNet, are investigated for possible integration into Segment Matching Models to achieve T-pose Reference-based Prediction. …”
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A network aggregation model for amyloid-β dynamics and treatment of Alzheimer’s diseases at the brain scale by Brennan, GS, Goriely, A

“…Here, we use spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain to study the effect of different drugs on whole-brain Alzheimer’s disease progression.…”

Toward achieving robust low-level and high-level scene parsing by Shuai, Bing, Ding, Henghui, Liu, Ting, Wang, Gang, Jiang, Xudong

“…In this paper, we address the challenging task of scene segmentation. We first discuss and compare two widely used approaches to retain detailed spatial information from pretrained CNN - "dilation" and "skip". …”
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Semantic mapping for articulated objects by Luar, Shui Song

“…Semantic mapping has advanced greatly since its inception as a research field, to now being able to identify poses and segment objects. As an extension of semantic segmentation problem, there is still an unexplored field of identifying joints of an articulated object within an image. …”
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Satellite image fusion for land cover classification by Tsan, Li Ling

“…Through the remote sensing techniques using Synthetic Aperture Radar(SAR), SAR images are pre-processed and later segmented to produce the segmentation maps which gives the land cover classification. …”
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Smooth object retrieval using a bag of boundaries by Arandjelović, R, Zisserman, A

“…The descriptors are tolerant to scale changes, segmentation failures, and limited viewpoint changes. …”

Automatic cardiac ventricular boundary detection by Cheng, Jierong

“…The final segmentation to find the actual LV boundary in long-axis echocardiographic images is carried out using a Markovian level set method. …”
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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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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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