7 research outputs found
DeepFacePencil: Creating Face Images from Freehand Sketches
In this paper, we explore the task of generating photo-realistic face images
from hand-drawn sketches. Existing image-to-image translation methods require a
large-scale dataset of paired sketches and images for supervision. They
typically utilize synthesized edge maps of face images as training data.
However, these synthesized edge maps strictly align with the edges of the
corresponding face images, which limit their generalization ability to real
hand-drawn sketches with vast stroke diversity. To address this problem, we
propose DeepFacePencil, an effective tool that is able to generate
photo-realistic face images from hand-drawn sketches, based on a novel dual
generator image translation network during training. A novel spatial attention
pooling (SAP) is designed to adaptively handle stroke distortions which are
spatially varying to support various stroke styles and different levels of
details. We conduct extensive experiments and the results demonstrate the
superiority of our model over existing methods on both image quality and model
generalization to hand-drawn sketches.Comment: ACM MM 2020 (oral
Analysis person re-identification methods
This paper reviews the most common non-destructive testing (NDT) methods of concrete strength as utilized by the structural engineering industry. The factors that influence the success of NDT methods are discussed and ways to mediate their influence are recommended. Reference is made to standard guidelines for the application and interpretation of the discussed NDT methods. Perceptions of NDT inadequacy were attributable to lack of understanding construction materials and NDT methods themselves. The intent of this paper is to address these concerns by describing the most common successful methods of NDT as applied to concrete structures
Analysis person re-identification methods
This paper reviews the most common non-destructive testing (NDT) methods of concrete strength as utilized by the structural engineering industry. The factors that influence the success of NDT methods are discussed and ways to mediate their influence are recommended. Reference is made to standard guidelines for the application and interpretation of the discussed NDT methods. Perceptions of NDT inadequacy were attributable to lack of understanding construction materials and NDT methods themselves. The intent of this paper is to address these concerns by describing the most common successful methods of NDT as applied to concrete structures
Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark
Nighttime person Re-ID (person re-identification in the nighttime) is a very
important and challenging task for visual surveillance but it has not been
thoroughly investigated. Under the low illumination condition, the performance
of person Re-ID methods usually sharply deteriorates. To address the low
illumination challenge in nighttime person Re-ID, this paper proposes an
Illumination Distillation Framework (IDF), which utilizes illumination
enhancement and illumination distillation schemes to promote the learning of
Re-ID models. Specifically, IDF consists of a master branch, an illumination
enhancement branch, and an illumination distillation module. The master branch
is used to extract the features from a nighttime image. The illumination
enhancement branch first estimates an enhanced image from the nighttime image
using a nonlinear curve mapping method and then extracts the enhanced features.
However, nighttime and enhanced features usually contain data noise due to
unstable lighting conditions and enhancement failures. To fully exploit the
complementary benefits of nighttime and enhanced features while suppressing
data noise, we propose an illumination distillation module. In particular, the
illumination distillation module fuses the features from two branches through a
bottleneck fusion model and then uses the fused features to guide the learning
of both branches in a distillation manner. In addition, we build a real-world
nighttime person Re-ID dataset, named Night600, which contains 600 identities
captured from different viewpoints and nighttime illumination conditions under
complex outdoor environments. Experimental results demonstrate that our IDF can
achieve state-of-the-art performance on two nighttime person Re-ID datasets
(i.e., Night600 and Knight ). We will release our code and dataset at
https://github.com/Alexadlu/IDF.Comment: Accepted by TM
Европейский и национальный контексты в научных исследованиях - 2021 : Технология
В настоящем электронном сборнике «Европейский и национальный контексты в научных исследованиях. Технология» представлены работы молодых ученых по геодезии и картографии, химической технологии и машиностроению, информационным технологиям, строительству и радиотехнике. Предназначены для работников образования, науки и производства. Будут полезны студентам, магистрантам и аспирантам университетов.=In this Electronic collected materials “European and national dimension in research. Technology” works in the fields of geodesy, chemical technology, mechanical engineering, information technology, civil engineering, and radio-engineering are presented. It is intended for trainers, researchers and professionals. It can be useful for university graduate and post-graduate students