96 research outputs found
FIGURE 6 in A new species of the deep-sea shrimp genus Spongicoloides (Decapoda: Spongicolidae) from the South China Sea
No full textFIGURE 6. Spongicoloides zhoui sp. nov. holotype female (PCL 11.3 mm, TMBC030847). A, left fourth pereiopod, lateral view; B, left fifth pereiopod, lateral view; C, dactylus of left fourth pereiopod, lateral view; D, right first pleopod, lateral view; E, right second pleopod, mesial view. Scale bar = 1 mm.Published as part of Zhao, Yu, Xu, Ting, Yang, Weidi & Qiu, Jian-Wen, 2021, A new species of the deep-sea shrimp genus Spongicoloides (Decapoda: Spongicolidae) from the South China Sea, pp. 276-290 in Zootaxa 5005 (3) on page 284, DOI: 10.11646/zootaxa.5005.3.3, http://zenodo.org/record/514174
Learning from time
No full textWith the rise of deep learning, computer vision systems have been highly successful at understanding images. However, understanding the dynamic visual world we live in requires both understanding the appearances of individual image frames, and the temporal relationships between them. This thesis aims to understand videos through the lens of time, by learning from the temporal relationships within image sequences, both instantaneously and over a period of time. In the first half, we focus on using instantaneous motion – temporal changes between neighbouring video frames – to discover moving objects, based on the intuition that the subject in the video usually moves independently from the background. We propose two methods that can solve this task: first, for a single object in a self-supervised manner by grouping motion into layers, and second, for multiple objects over time in a supervised manner using a vision foundation model. We show applications towards general videos, as well as discovering objects with minimal visibility such as camouflages, where we also present the largest video camouflage dataset to date. In the second half, we go beyond instantaneous changes and learn from patterns of changes over time, from seconds (natural videos) to days (time-lapse videos) to years (longitudinal images). We leverage the properties of time as a direct supervisory signal, and introduce applications that were previously unachievable in computer vision. We first exploit “uniformity” – that time flows at a constant rate, to read analog clocks in unconstrained scenes. We then relax this constraint to “monotonicity” – that certain changes are consistently unidirectional over a period of time, to discover monotonic changes in a sequence of images. For both cases, we also contribute datasets to foster further research
Quantitative Research of Traditional Village Morphology Based on Spatial Genes: A Case Study of Shaanxi Province, China
No full textAs urbanization accelerates, many traditional villages face the threat of destruction or disappearance. To better protect and utilize the cultural heritage of traditional villages, it is essential to deeply analyze the inherent patterns of their spatial morphology. This paper selects Nihegou Village in Yulin City, Shaanxi Province, China, as a case study. Utilizing the theory of spatial genes, a quantitative inheritance model was developed, integrating natural, physical, and intangible spatial factors. Through the collection of multidimensional spatial data, such as village topography, slope, and aspect, combined with GIS spatial analysis and the AHP-Fuzzy Comprehensive Evaluation method, the spatial morphological characteristics and genetic inheritance of Nihegou Village were identified, decoded, and quantitatively assessed. Based on the assessment results, corresponding conservation and development strategies were formulated. The findings show that the formation and development of Nihegou Village’s spatial pattern are closely related to factors like the natural environment, social policies, and economic technologies. The terrain and the process of urban modernization have impacted the inheritance and development of Nihegou Village’s intangible spatial genes. The application of spatial quantitative analysis methods to formulate strategies for the preservation and inheritance of traditional village spatial characteristics not only provides theoretical guidance for village planning and conservation rooted in cultural heritage, but also effectively safeguards and revitalizes the spatial gene inheritance of Nihegou Village, contributing to the village’s sustainable development
Advancing immunotherapy in gestational trophoblastic neoplasia: current progress and future directions
No full textКонфуціанство і дизайн традиційного китайського сільського поселення: впливи, цінності, сучасне значення
No full textThe article explores how Confucianism and the Confucian concept of the clan influenced the design of architectural styles of rural settlements, the spatial forms of traditional settlements, which are harmonious, in sharp contrast to the large number of similar settlements with chaotic layouts. Individual houses and courtyards make up a coherent and orderly "single" system of a zigzag structure, making its internal functions clear and rational. The author analyzes the perception of the space of traditional Chinese settlements from the standpoint of balanced relations between people and nature, which are promoted by Confucianism. The author proposes a concept of settlement space that is relevant to the present, meets the modern needs of ecodesign and the principles of preserving the ecological criteria of coexistence on the planet, and reveals the influence of a doctrine that emerged more than 2 thousand years ago. The scientific contribution of this paper is a study of the Chinese interdisciplinary scientific discourse on the influence of Confucianism on the formation of Chinese settlement design traditions and, at the same time, emphasizes the importance of Confucianism's ideas and meanings in relation to the interaction of people outside their homes, in particular, in social relations. The importance of human dignity, family values and rights, and the creation of a harmonious and orderly social environment are components of the Confucian design, which is inherent in the style of settlements and social relations. It is noted that this design reflects traditional thinking embodied in various types of life activities that are guided by Confucianism and imperceptibly promote the idea of etiquette and order, so that education and space are closely combined in the Chinese socio-cultural space. The materials of the article are useful for those who study design in higher education institutions or are engaged in scientific research on the impact of philosophical ideas and deep meanings on everyday life.У статті досліджується як конфуціанство та конфуціанська концепція клану вплинули на дизайн архітектурних стилів сільських поселень, на просторові форми традиційних поселень, які є гармонійними, що різко контрастує з великою кількістю подібних поселень з хаотичним плануванням. Окремі житлові будинки та дворища складають цілісну і впорядковану "єдину" систему зигзагоподібної структури, роблячи її внутрішні функції зрозумілими і раціональними. Здійснено аналіз сприйняття простору традиційних китайських поселень з позиції збалансованих відносин між людьми і природою, які пропагуються конфуціанством. Пропонується концепція простору поселення, яка актуальна для сьогодення, відповідає сучасним потребам екодизайну та принципам збереження екологічних критеріїв співжиття на планеті й виявляє вплив вчення, яке виникло більше 2 тис. років тому. Науковим внеском даної роботи є дослідження китайського міждисциплінарного наукового дискурсу щодо впливу конфуціанства на формування традицій китайського дизайну поселень та, водночас, підкреслюється значення ідей та сенсів конфуціанства по відношенню до взаємодії людей поза межами їх помешкань, зокрема, у соціальних зв’язках. Важливість людської гідності, сімейних цінностей та прав, створення гармонійного та впорядкованого соціального середовища є складовими створеного конфуціанством дизайну, властивого і стилю поселень і соціальним стосункам. Зазначено, що цей дизайн відображає традиційне мислення, втілене в різних видах життєдіяльності, які керуються конфуціанством і непомітно пропагують ідею етикету і порядку, так що освіта і простір тісно поєднуються у китайському соціокультурному просторі. Матеріали статті корисні для тих, хто вивчає дизайн у вищих навчальних закладах або займається науковими дослідженнями впливу філософських ідей, глибинних сенсів на повсякдення
Made to order: discovering monotonic temporal changes via self-supervised video ordering
No full textOur objective is to discover and localize monotonic temporal changes in a sequence of images. To achieve this, we exploit a simple proxy task of ordering a shuffled image sequence, with ‘time’ serving as a supervisory signal, since only changes that are monotonic with time can give rise to the correct ordering. We also introduce a transformerbased model for ordering of image sequences of arbitrary length with built-in attribution maps. After training, the model successfully discovers and localizes monotonic changes while ignoring cyclic and stochastic ones. We demonstrate applications of the model in multiple domains covering different scene and object types, discovering both object-level and environmental changes in unseen sequences. 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. Finally, we show that the model achieves the state-of-the-art on standard benchmarks for image ordering
Statistical analysis for decision support of pickup and delivery customers to airport service
No full textMade to Order: Discovering monotonic temporal changes via self-supervised video ordering
No full textOur objective is to discover and localize monotonic temporal changes in a sequence of images. To achieve this, we exploit a simple proxy task of ordering a shuffled image sequence, with `time\u27 serving as a supervisory signal, since only changes that are monotonic with time can give rise to the correct ordering. We also introduce a transformer-based model for ordering of image sequences of arbitrary length with built-in attribution maps. After training, the model successfully discovers and localizes monotonic changes while ignoring cyclic and stochastic ones. We demonstrate applications of the model in multiple domains covering different scene and object types, discovering both object-level and environmental changes in unseen sequences. 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. Finally, we show that the model achieves the state-of-the-art on standard benchmarks for image ordering.ECCV 2024 Oral. Project page: https://charigyang.github.io/order
- …
