8,622 Mature Woman Full Length - Getty Images
Explore Authentic Mature Woman Full Length Stock Videos & Footage For Your Project Or Campaign. Less Searching, More Finding With Getty Images.
Shy Maps in Topology
There is a concept in digital topology of a shy map. We define an analogous concept for topological spaces: We say a function is shy if it is continuous and the inverse image of every path-connected subset of its image is path-connected. Some basic p...
8,622 Mature Woman Full Length - Getty Images
Explore Authentic Mature Woman Full Length Stock Videos & Footage For Your Project Or Campaign. Less Searching, More Finding With Getty Images.
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diff…
Text-to-image diffusion models have achieved remarkable success in generating high-quality contents from text prompts. However, their reliance on publicly available data and the growing trend of data sharing for fine-tuning make these models particul...
A feasibility study of treatment verification using EPID cine images for hypofra…
We propose a novel approach for potential on-line treatment verification using cine EPID (Electronic Portal Imaging Device) images for hypofractionated lung radiotherapy based on a machine learning algorithm. Hypofractionated radiotherapy requires...
Diagnostic Impact of Cine Clips for Thyroid Nodule Assessment on Ultrasound
Background: Thyroid ultrasound is commonly performed using a combination of static images and cine clips (video recordings). However, the exact utility and impact of cine images remains unknown. This study aimed to evaluate the impact of cine imaging...
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabul…
Contrastive Language-Image Pre-training (CLIP) exhibits strong zero-shot classification ability on various image-level tasks, leading to the research to adapt CLIP for pixel-level open-vocabulary semantic segmentation without additional training. The...
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner
We present SUGAR, a zero-shot method for subject-driven video customization. Given an input image, SUGAR is capable of generating videos for the subject contained in the image and aligning the generation with arbitrary visual attributes such as style...
Understanding Help-Seeking and Help-Giving on Social Media for Image-Based Sexua…
Image-based sexual abuse (IBSA), like other forms of technology-facilitated abuse, is a growing threat to people's digital safety. Attacks include unwanted solicitations for sexually explicit images, extorting people under threat of leaking their ima...
SJTUzhou/3D-Teeth-Reconstruction-from-Five-Intra-oral-Images
Smartee project: 3D Teeth Reconstruction from Orthodontic Photos (⭐ 90)
The Parallel Distributed Image Search Engine (ParaDISE)
Image retrieval is a complex task that differs according to the context and the user requirements in any specific field, for example in a medical environment. Search by text is often not possible or optimal and retrieval by the visual content does no...
Global Adaptive Filtering Layer for Computer Vision
We devise a universal adaptive neural layer to "learn" optimal frequency filter for each image together with the weights of the base neural network that performs some computer vision task. The proposed approach takes the source image in the spatial d...
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visuali…
We present ProtoConcepts, a method for interpretable image classification combining deep learning and case-based reasoning using prototypical parts. Existing work in prototype-based image classification uses a ``this looks like that'' reasoning proce...
Label quality in AffectNet: results of crowd-based re-annotation
AffectNet is one of the most popular resources for facial expression recognition (FER) on relatively unconstrained in-the-wild images. Given that images were annotated by only one annotator with limited consistency checks on the data, however, label...
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models
We address the problem of multi-object 3D pose control in image diffusion models. Instead of conditioning on a sequence of text tokens, we propose to use a set of per-object representations, Neural Assets, to control the 3D pose of individual objects...
idealo/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images. (⭐ 2224)
Predicting the Blur Visual Discomfort for Natural Scenes by the Loss of Position…
The perception of the blur due to accommodation failures, insufficient optical correction or imperfect image reproduction is a common source of visual discomfort, usually attributed to an anomalous and annoying distribution of the image spectrum in t...
Copy the window or screen contents - Microsoft Support
Edit the image as needed with the ink pen, highlighter, eraser, and cropping tool. Near the upper right, select Save, or select Copy if you want to immediately paste the edited image somewhere else.
Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Contex…
We present Moderator, a policy-based model management system that allows administrators to specify fine-grained content moderation policies and modify the weights of a text-to-image (TTI) model to make it significantly more challenging for users to p...
Logo and Brand Guidelines | Microsoft Community Hub
Jul 14, 2016 · Logo and Brand Guidelines Here are a few resources to help you find and use the right images in Office 365. Office 365 Microsoft Office Pressroom Image Gallery Logos and Image Gallery, …