A sparse object category model for efficient learning and complete recognition by Fergus, R, Perona, P, Zisserman, A

“…<p>We present a &ldquo;parts and structure&rdquo; model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from example images containing category instances, without requiring segmentation from background clutter.</p> <p>The model is a sparse representation of the object, and consists of a star topology configuration of parts modeling the output of a variety of feature detectors. …”

Made to order: discovering monotonic temporal changes via self-supervised video ordering by Yang, C, Xie, W, Zisserman, A

“…We also demonstrate that the attention-based attribution maps function as effective prompts for segmenting the changing regions, and that the learned representations can be used for downstream applications. …”

Crack densification in drying colloidal suspensions by Lilin, Paul, Ibrahim, Mario, Bischofberger, Irmgard

“…We show that the final spacing between radial cracks is proportional to the local thickness of the deposit, while the aspect ratio of the crack segments depends on the shape of the deposit.…”
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HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2006 by Gollub, Randy L., Banzett, Robert B., Bolar, Divya S., Buckner, Randy, Dickerson, Bradford, Gabrieli, John D. E., Whitfield-Gabrieli, Susan, Greve, Doug, Hadjikhani, Nouchine, Helmer, Karl, Kanwisher, Nancy, Kennedy, David N. (David Nelson), 1962-, Mandeville, Joe, Manoach, Dara, Melcher, Jennifer R., Moore, Christopher, Napadow, Vitaly, Pujol, Sonia, Rosen, Bruce Robert, Salat, David, Savoy, Robert, Sodickson, Dan, Sorensen, A. Gregory, Triantafyllou, Christina, Vangel, Mark Geoffrey, Wald, Lawrence, Yendiki, Anastasia

“…Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. …”
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Anti-complex sets and reducibilities with tiny use by Franklin, Johanna N. Y., Greenberg, Noam, Stephan, Frank, Wu, Guohua

“…In contrast with the notion of complexity, a set A is called anti-complex if the Kolmogorov complexity of the initial segments of A chosen by a recursive function is always bounded by the identity function. …”
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Characterization on three-dimensional trajectory of disk-like gold-nickel-platinum nanomotor using digital holographic imaging by Hu, Liangxing, Rehman, Shakil, Tao, Kai, Miao, Jianmin

“…Self‐propelling disk‐like nanomotor consisting of three metallic segments: a non‐catalytic gold (Au), central magnetic nickel (Ni), and a catalytic platinum (Pt), is designed and fabricated with a high‐efficiency layer‐by‐layer (LbL) deposition method based on the nano‐electro‐mechanical systems (NMES) technology. …”
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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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Understanding customer retrials in call centers: preferences for service quality and service speed by Hu, K, Allon, G, Bassamboo, A

“…One reallocates the service groups for different customer segments without expanding the system, and the other adjusts the staffing ratios by hiring low-cost, ordinary-quality agents. …”

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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Singapore airlines : soaring to greater heights (an in-depth analysis of SIA's corporate strategy). by Gay, Elaine Ting Shan., Lee, Leng Choo., Seng, Figin Hui Hong.

“…This study provides a review of the major components of SIA, highlighting its general airline operations, the market segments served as well as customers’ perception of SIA’s services. …”
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Development of the capital market in Malaysia : a critical analysis by Li Qingyuan, Lim Boon Hau, Teo Yong Meng

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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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Topology surveillance of the lanosterol demethylase CYP51A1 by signal peptide peptidase by Sergejevs, N, Avci, D, van de Weijer, ML, Corey, RA, Lemberg, MK, Carvalho, P

“…Cleavage of transmembrane segments on target proteins by the aspartyl intramembrane protease signal peptide peptidase (SPP, encoded by HM13) has been linked to immunity, viral infection and protein quality control. …”

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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