activity
20192022
most citedWe Need No Pixels: Video Manipulation Detection Using Stream Descriptors

32 citations · 73 across the 13 of their papers we have counts for

collaborators

15 papers

cs.CV202221 cited

An Overview of Recent Work in Media Forensics: Methods and Threats

Kratika Bhagtani, Amit Kumar Singh Yadav, Emily R. Bartusiak +4

In this paper, we review recent work in media forensics for digital images, video, audio (specifically speech), and documents. For each data modality, we discuss synthesis and mani…

cs.CV2022

High-Resolution UAV Image Generation for Sorghum Panicle Detection

Enyu Cai, Zhankun Luo, Sriram Baireddy +3

The number of panicles (or heads) of Sorghum plants is an important phenotypic trait for plant development and grain yield estimation. The use of Unmanned Aerial Vehicles (UAVs) en…

cs.CV2022

Leaf Tar Spot Detection Using RGB Images

Sriram Baireddy, Da-Young Lee, Carlos Gongora-Canul +2

Tar spot disease is a fungal disease that appears as a series of black circular spots containing spores on corn leaves. Tar spot has proven to be an impactful disease in terms of r…

cs.CV2021

Improving Building Segmentation for Off-Nadir Satellite Imagery

Hanxiang Hao, Sriram Baireddy, Kevin LaTourette +4

Automatic building segmentation is an important task for satellite imagery analysis and scene understanding. Most existing segmentation methods focus on the case where the images a…

cs.CV2021

Field-Based Plot Extraction Using UAV RGB Images

Changye Yang, Sriram Baireddy, Enyu Cai +2

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 da…

eess.IV20211 cited

Panicle Counting in UAV Images For Estimating Flowering Time in Sorghum

Enyu Cai, Sriram Baireddy, Changye Yang +2

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