This paper aims to develop a method than can accurately estimate the crowd count from an individual image with arbitrary density and perspective. To this end, we have proposed simple but effective Multi-column Convolutional Neural Network (MCNN) architecture map its map. The MCNN allows input be of size or resolution. By utilizing filters receptive fields different sizes, features learned by each column CNN are adaptive variations in people/head due perspective effect Furthermore, true is...

Crowd counting is a challenging task, mainly due to the severe occlusions among dense crowds. This paper aims take broader view address crowd from perspective of semantic modeling. In essence, task pedestrian analysis involving three key factors: pedestrians, heads, and their context structure. The information different body parts an important cue help us judge whether there exists person at certain position. Existing methods usually perform directly modeling visual properties either whole...

As an important and challenging problem in computer vision, face age estimation is typically cast as a classification or regression over set of samples with respect to several ordinal labels, which have intrinsically cross-age correlations across adjacent dimensions. result, such usually lead the label ambiguities samples. Namely, each sample associated latent distribution that encodes correlation information on ambiguities. Motivated by this observation, we propose totally data-driven...

Protein-nucleic acid interactions play a crucial role in many physiological processes. Identifying the binding sites of nucleotides on protein surface is prerequisite for understanding molecular recognition mechanisms between two types macromolecules and also provides information to design or generate molecule modulators against these manipulate biological function according specific requirements. Existing studies mainly focus characterizing local surfaces around sites, often neglecting...

Capabilities of inference and prediction are the significant components visual systems. Visual path is an important challenging task among them, with goal to infer future a object in static scene. This complicated as it needs high-level semantic understandings both scenes underlying motion patterns video sequences. In practice, cluttered situations have also raised higher demands on effectiveness robustness models. Motivated by these observations, we propose deep learning framework, which...

To manage life’s stressors, we can self-regulate our emotions or seek social regulatory support. One commonly used strategy is reappraisal, where individuals reframe their own negative (i.e. self-reappraisal) help others social-reappraisal). Here, compared the neural mechanisms underlying self- and social-reappraisal of autobiographical memories using standard univariate contrasts, Bayes factor multivariate classifier approaches. Both recruited regions associated with control, such as...

Abstract Tunable assembly of cellulose nanocrystals (CNCs) is important for a variety emerging applications in optics, sensing, and security. Most exploited optical property CNCs are cholesteric corresponding circular dichroism. However, it still remains challenge to obtain homogenous high‐resolution assembly. Distinct highly demanded advanced photonic materials with novel functions. Herein, facile programmable approach assembling into concentric alignment using capillary flow Marangoni...

To manage life’s stressors, we can self-regulate our emotions or seek social regulatory support. One commonly used strategy is reappraisal, where individuals reframe their own negative (i.e. self-reappraisal) help others social-reappraisal). Here, compared the neural mechanisms underlying self- and social-reappraisal of autobiographical memories using standard univariate contrasts, Bayes factor multivariate classifier approaches. Both recruited regions associated with control, such as...

Holistic scene understanding includes semantic segmentation, surface normal estimation, object boundary detection, depth etc. The key aspect of this problem is to learn representation effectively, as each subtask builds upon not only correlated but also distinct attributes. Inspired by visual-prompt tuning, we propose a Task-Specific Prompts Transformer, dubbed TSP-Transformer, for holistic understanding. It features vanilla transformer in the early stage and tasks-specific prompts encoder...

Concept ontology has been used in the area of artificial intelligence, biomedical informatics and library science it shown as an effective approach to better understand data respective domains. One main difficulty that hedge against development approaches is extra work required construction annotation. With emergent lexical dictionaries encyclopedias such WordNet, Wikipedia, innovations from different directions have proposed automatically extract concept ontologies. Unfortunately, many...

As an important and challenging problem in computer vision, face age estimation is typically cast as a classification or regression over set of samples. However, most existing efforts to usually cope with the samples individually, which do not take full advantage temporal structure contextual In this letter, we propose approach named structure-aware slow feature analysis, capable effectively capturing human faces aspects time-related smoothness for progressive variation well face-related...

In classic community detection, it is assumed that communities are exclusive, in the sense of either soft clustering or hard clustering. It has come to attention recent literature many real-world problems violate this assumption, and thus overlapping detection become a hot research topic. The existing work on topic uses content link information, but not both them. paper, we deal with issue by combining information. We develop an effective solution called subgraph (SOC) evaluate new approach...

Since the 21st century, Spatial laser communication has made a breakthrough development. Europe, United States, Japan and other space powers have carried out test of spatial technology on-orbit, put forward series plans. In 2011, China first demonstration satellite-ground by HY-2 satellite. Nowadays, in order to improve transmission rate network, topic network is becoming research hotspot at home abroad. This thesis, from basic problem solve, analyzes main difference between ground which...

In this paper, finite element software ANSYS Workbench is used in the static structural analysis of a kind 2MW wind turbine blade. The results show that under maximum possible load, model blade within safe range. But relatively speaking, beam and trailing edge are bearing larger stress more dangerous.

Lifelong person re-identification (LReID) is in significant demand for real-world development as a large amount of ReID data captured from diverse locations over time and cannot be accessed at once inherently. However, key challenge LReID how to incrementally preserve old knowledge gradually add new capabilities the system. Unlike most existing methods, which mainly focus on dealing with catastrophic forgetting, our more challenging problem, is, not only trying reduce forgetting tasks but...