Search Results for author: Edward J. Delp

Found 32 papers, 4 papers with code

Improving Building Segmentation for Off-Nadir Satellite Imagery

no code implementations8 Sep 2021 Hanxiang Hao, Sriram Baireddy, Kevin LaTourette, Latisha Konz, Moses Chan, Mary L. Comer, Edward J. Delp

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.

Scene Understanding

Field-Based Plot Extraction Using UAV RGB Images

no code implementations1 Sep 2021 Changye Yang, Sriram Baireddy, Enyu Cai, Melba Crawford, Edward J. Delp

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.

Panicle Counting in UAV Images For Estimating Flowering Time in Sorghum

no code implementations15 Jul 2021 Enyu Cai, Sriram Baireddy, Changye Yang, Melba Crawford, Edward J. Delp

Flowering time (time to flower after planting) is important for estimating plant development and grain yield for many crops including sorghum.

RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images

no code implementations29 Jun 2021 Liming Wu, Shuo Han, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp

Robust and accurate nuclei centroid detection is important for the understanding of biological structures in fluorescence microscopy images.

Object Detection

Image-Based Plant Wilting Estimation

no code implementations27 May 2021 Changye Yang, Sriram Baireddy, Enyu Cai, Valerian Meline, Denise Caldwell, Anjali S. Iyer-Pascuzzi, Edward J. Delp

In particular, we want to design a metric for wilting based on images acquired of the plant.

FaR-GAN for One-Shot Face Reenactment

no code implementations13 May 2020 Hanxiang Hao, Sriram Baireddy, Amy R. Reibman, Edward J. Delp

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.

Face Reenactment

Deep Transfer Learning For Plant Center Localization

no code implementations29 Apr 2020 Enyu Cai, Sriram Baireddy, Changye Yang, Melba Crawford, Edward J. Delp

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.

Transfer Learning

Forensic Scanner Identification Using Machine Learning

no code implementations6 Feb 2020 Ruiting Shao, Edward J. Delp

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.

Multi-View Matching Network for 6D Pose Estimation

no code implementations27 Nov 2019 Daniel Mas Montserrat, Jianhang Chen, Qian Lin, Jan P. Allebach, Edward J. Delp

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.

6D Pose Estimation Object Detection

A Utility-Preserving GAN for Face Obscuration

no code implementations27 Jun 2019 Hanxiang Hao, David Güera, Amy R. Reibman, Edward J. Delp

From TV news to Google StreetView, face obscuration has been used for privacy protection.

Robustness Analysis of Face Obscuration

no code implementations13 May 2019 Hanxiang Hao, David Güera, János Horváth, Amy R. Reibman, Edward J. Delp

Face obscuration is needed by law enforcement and mass media outlets to guarantee privacy.

Face Identification

A Hand-Held Multimedia Translation and Interpretation System with Application to Diet Management

no code implementations17 Jul 2018 Albert Parra, Andrew W. Haddad, Mireille Boutin, Edward J. Delp

The memory requirements of the application, including the database of images, are also well within the limits of the device.

Machine Translation

Locating Objects Without Bounding Boxes

5 code implementations CVPR 2019 Javier Ribera, David Güera, Yuhao Chen, Edward J. Delp

In these networks, the training procedure usually requires providing bounding boxes or the maximum number of expected objects.

Object Localization

A Counter-Forensic Method for CNN-Based Camera Model Identification

no code implementations6 May 2018 David Güera, Yu Wang, Luca Bondi, Paolo Bestagini, Stefano Tubaro, Edward J. Delp

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.

Reliability Map Estimation For CNN-Based Camera Model Attribution

no code implementations4 May 2018 David Güera, Sri Kalyan Yarlagadda, Paolo Bestagini, Fengqing Zhu, Stefano Tubaro, Edward J. Delp

This refers to the problem of detecting which camera model has been used to acquire an image by only exploiting pixel information.

Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier

1 code implementation13 Feb 2018 Sri Kalyan Yarlagadda, David Güera, Paolo Bestagini, Fengqing Maggie Zhu, Stefano Tubaro, Edward J. Delp

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.

One-class classifier

Texture Segmentation Based Video Compression Using Convolutional Neural Networks

no code implementations8 Feb 2018 Chichen Fu, Di Chen, Edward J. Delp, Zoe Liu, Fengqing Zhu

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.

Texture Classification Video Compression

Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

no code implementations22 Jan 2018 Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp

Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue.

Image Generation

First Steps Toward Camera Model Identification with Convolutional Neural Networks

1 code implementation3 Mar 2016 Luca Bondi, Luca Baroffio, David Güera, Paolo Bestagini, Edward J. Delp, Stefano Tubaro

Detecting the camera model used to shoot a picture enables to solve a wide series of forensic problems, from copyright infringement to ownership attribution.

General Classification Image Forensics

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