76 citations · 434 across the 47 of their papers we have counts for
33 papers · 1 filter
Diffusion Model with Clustering-based Conditioning for Food Image Generation
Yue Han, Jiangpeng He, Mridul Gupta +2
Image-based dietary assessment serves as an efficient and accurate solution for recording and analyzing nutrition intake using eating occasion images as input. Deep learning-based…
Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery
Enyu Cai, Jiaqi Guo, Changye Yang +1
The sorghum panicle is an important trait related to grain yield and plant development. Detecting and counting sorghum panicles can provide significant information for plant phenot…
Improving Food Detection For Images From a Wearable Egocentric Camera
Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh +3
Diet is an important aspect of our health. Good dietary habits can contribute to the prevention of many diseases and improve the overall quality of life. To better understand the r…
H4VDM: H.264 Video Device Matching
Ziyue Xiang, Paolo Bestagini, Stefano Tubaro +1
Methods that can determine if two given video sequences are captured by the same device (e.g., mobile telephone or digital camera) can be used in many forensics tasks. In this pape…
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…
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…