An object category specific mrf for segmentation by Kumar, MP, Torr, PHS, Zisserman, A

“…In this chapter we present a principled Bayesian method for detecting and segmenting instances of a particular object category within an image, providing a coherent methodology for combining top down and bottom up cues. …”

Image segmentation with minimal human supervision by Shin, G

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Learning segmentation from point trajectories by Karazija, L, Laina, I, Rupprecht, C, Vedaldi, A

“…<p>We consider the problem of segmenting objects in videos based on their motion and no other forms of supervision. …”

Risk approach towards geographical segment reporting. by Ong, B. W., Tan, P. P., Tan, Siok Hoon.

“…This paper proposed a new approach towards geographical segment reporting in the consolidated financial statements. …”
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Boundary-aware feature propagation for scene segmentation by Ding, Henghui, Jiang, Xudong, Liu, Ai Qun, Thalmann, Nadia Magnenat, Wang, Gang

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Deep learning for object detection and image segmentation by Tan, Yan Hwa

“…In the proposed approach, we segmented and labelled multiple perspective of a view using a convolutional neural network. …”
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Referring expression segmentation: from conventional to generalized by Liu, Chang

“…Among the complex integrated tasks, one particularly challenging and important task is Referring Expression Segmentation (RES), which aims to generate a segmentation mask for a target object in a given image as described by a given natural language query expression, involving both computer vision and natural language processing. …”
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Fingerprint recognition with line segment Hausdorff distance by Liu, Chuan.

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Detection of story segments in news video footages by Octopios, Chowrichzy Wisdomy

“…This project proposes a system for segmenting long news footages into its constituent semantic stories. …”
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Segmentation of liver tumor from CT images by La, Cam Chung

“…One can use the rib curve as a post-processing step to fine tune the segmentation.…”
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Automated breast masses segmentation in digitized mammograms by Zhang, Han, Foo, Say Wei, Thng, Choon Hua, Krishnan, Shankar M.

“…In this paper, an automated segmentation method is proposed. The method is applied to the segmentation of breast masses in digitized mammograms and it operates on the whole mammograms instead of manually selected regions. …”
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Scalable cascade inference for semantic image segmentation by Sturgess, P, Ladický, L, Crook, N, Torr, PHS

“…Semantic image segmentation is a problem of simultaneous segmentation and recognition of an input image into regions and their associated categorical labels, such as person, car or cow. …”

Single-histogram class models for image segmentation by Schroff, F, Criminisi, A, Zisserman, A

“…The benefit of the single histograms is that they are much more efficient both in terms of memory and computational resources; and (ii) we show that bag of visual words histograms can provide an accurate pixel-wise segmentation of an image into object class regions. In this manner the compact models of visual object classes give simultaneous segmentation and recognition of image regions.…”

Geodesic star convexity for interactive image segmentation by Gulshan, V, Rother, C, Criminisi, A, Blake, A, Zisserman, A

“…In this paper we introduce a new shape constraint for interactive image segmentation. It is an extension of Veksler's star-convexity prior, in two ways: from a single star to multiple stars and from Euclidean rays to Geodesic paths. …”

Development of a word segmentation algorithm for Myanmar language by U Tun Thura Thet

“…This study is to develop a word segmentation algorithm and solution for Myanmar language. …”
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The cinema industry in Singapore : a market segmentation exercise by Juan, Hee Meen, Tan, Winnie Bee Hong, Tan, Siew Yan

Subjects: “…DRNTU::Business::Marketing::Market segmentation…”
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Learning class-specific edges for object detection and segmentation by Prasad, M, Zisserman, A, Fitzgibbon, A, Kumar, MP, Torr, PHS

“…We illustrate its application to two algorithms: (i) chamfer matching for object detection, and (ii) modulating contrast terms in MRF based object-specific segmentation. We show that performance of both algorithms (matching and segmentation) is considerably improved by the class-specific edge labelling.…”

FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML by Liu, Brian, Mazumder, Rahul

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Continual semantic segmentation via image and latent space consistency by Wang, Zhichao

“…In this thesis, my continual-learning research process is introduced in detail, including a novel method and two regulators, which contribute to anti-forgetting Result in continual learning in the semantic segmentation area. Firstly a real-time semantic segmentation model called ERFnet is evaluated, then based on this network and Cityscapes dataset, a model-recall method is proposed which could significantly reduce the catastrophic forgetting which happens in the process of continual learning in the semantic segmentation area; inspired by mentors, 2 regulators are also conducted which were expected to further improve performance (one regulator is come up by mentors and another is by myself). …”
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Segmentation and analysis of cement particles in cement paste with deep learning by Qian, Hanjie, Li, Ye, Yang, Jianfei, Xie, Lihua, Tan, Kang Hai

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