In this paper, we propose a method that is able to provide accurate building segmentation for satellite imagery captured from a large range of off-nadir angles.
Unmanned Aerial Vehicles (UAVs) have become popular for use in plant phenotyping of field based crops, such as maize and sorghum, due to their ability to acquire high resolution data over field trials.
Flowering time (time to flower after planting) is important for estimating plant development and grain yield for many crops including sorghum.
Robust and accurate nuclei centroid detection is important for the understanding of biological structures in fluorescence microscopy images.
A growing number of commercial satellite companies provide easily accessible satellite imagery.
Such manipulations can leave traces in the metadata embedded in video files.
Satellite imagery is becoming increasingly accessible due to the growing number of orbiting commercial satellites.
In this paper, we present a one-shot face reenactment model, FaR-GAN, that takes only one face image of any given source identity and a target expression as input, and then produces a face image of the same source identity but with the target expression.
In this paper, we propose a method for estimating plant centers by transferring an existing model to a new scenario using limited ground truth data.
no code implementations • 25 Apr 2020 • Daniel Mas Montserrat, Hanxiang Hao, S. K. Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily Bartusiak, Justin Yang, David Güera, Fengqing Zhu, Edward J. Delp
Altered and manipulated multimedia is increasingly present and widely distributed via social media platforms.
When disaster strikes, accurate situational information and a fast, effective response are critical to save lives.
Due to the increasing availability and functionality of image editing tools, many forensic techniques such as digital image authentication, source identification and tamper detection are important for forensic image analysis.
Analysis of the shape of plants can potentially be used to accurately quantify the degree of wilting.
Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects.
Fluorescence microscopy is an essential tool for the analysis of 3D subcellular structures in tissue.
Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy.
The memory requirements of the application, including the database of images, are also well within the limits of the device.
In these networks, the training procedure usually requires providing bounding boxes or the maximum number of expected objects.
Ranked #1 on Object Localization on Mall
We examine in this paper the problem of identifying the camera model or type that was used to take an image and that can be spoofed.
This refers to the problem of detecting which camera model has been used to acquire an image by only exploiting pixel information.
We can then estimate food energy based on the energy distribution.
Specifically, we consider the scenario in which pixels within a region of a satellite image are replaced to add or remove an object from the scene.
The segmentation results of the proposed method are visually and numerically compared with other microscopy segmentation methods.
There has been a growing interest in using different approaches to improve the coding efficiency of modern video codec in recent years as demand for web-based video consumption increases.
Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue.
Detecting the camera model used to shoot a picture enables to solve a wide series of forensic problems, from copyright infringement to ownership attribution.