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. …”
Get full text

Fingerprint recognition with line segment Hausdorff distance by Liu, Chuan.

Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text

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…”
Get full text

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.…”

BLUE OCEAN SHIFT : BEYOND COMPETING - PROVEN STEPS TO INSPIRE CONFIDENCE AND SEIZE NEW GROWTH / by Kim, W. Chan, author 318022, Mauborgne, Renée, author 387551, Hachette Books Group (Online service) 647103

Subjects: Get full text

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

Get full text

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). …”
Get full text

Segmentation and analysis of cement particles in cement paste with deep learning by Qian, Hanjie, Li, Ye, Yang, Jianfei, Xie, Lihua, Tan, Kang Hai

Subjects: Get full text

Segment anything: real-time AI model interaction and visualization by Wang, Jingwei

Subjects: Get full text

Automatic knee segmentation from multi-contrast MR images by Zhang, Kunlei

“…Also, the proposed cartilage segmentation scheme can be applied to the segmentation of other joint structures. …”
Get full text

The Japanese economy in crises : a time series segmentation study by Cheong, Siew Ann, Fornia, Robert Paulo, Lee, Gladys Hui Ting, Kok, Jun Liang, Yim, Woei Shyr, Xu, Danny Yuan, Zhang, Yiting

“…The authors performed a comprehensive time series segmentation study on the 36 Nikkei Japanese industry indices from 1 January 1996 to 11 June 2010. …”
Get full text
Get full text

3D-aware instance segmentation and tracking in egocentric videos by Bhalgat, Y, Tschernezki, V, Laina, I, Henriques, JF, Vedaldi, A, Zisserman, A

“…Leveraging our tracked instance segmentations, we showcase downstream applications in 3D object reconstruction and amodal video object segmentation in these egocentric settings.…”

Humanising GrabCut: learning to segment humans using the Kinect by Gulshan, V, Lempitsky, V, Zisserman, A

“…To this end we investigate learning to automatically segment humans from cluttered images (without depth information) given a bounding box. …”