7 papers
Unsupervised Defect Detection for Surgical Instruments
Joseph Huang, Yichi Zhang, Jingxi Yu +6
Ensuring the safety of surgical instruments requires reliable detection of visual defects. However, manual inspection is prone to error, and existing automated defect detection met…
Implicit-Scale 3D Reconstruction for Multi-Food Volume Estimation from Monocular Images
Yuhao Chen, Gautham Vinod, Siddeshwar Raghavan +5
We present Implicit-Scale 3D Reconstruction from Monocular Multi-Food Images, a benchmark dataset designed to advance geometry-based food portion estimation in realistic dining sce…
Food Portion Estimation: From Pixels to Calories
Gautham Vinod, Fengqing Zhu
Reliance on images for dietary assessment is an important strategy to accurately and conveniently monitor an individual's health, making it a vital mechanism in the prevention and…
Leveraging Second-Order Curvature for Efficient Learned Image Compression: Theory and Empirical Evidence
Yichi Zhang, Fengqing Zhu
Training learned image compression (LIC) models entails navigating a challenging optimization landscape defined by the fundamental trade-off between rate and distortion. Standard f…
Training-Free Text-to-Image Compositional Food Generation via Prompt Grafting
Xinyue Pan, Yuhao Chen, Fengqing Zhu
Real-world meal images often contain multiple food items, making reliable compositional food image generation important for applications such as image-based dietary assessment, whe…
Instance camera focus prediction for crystal agglomeration classification
Xiaoyu Ji, Chenhao Zhang, Tyler James Downard +3
Agglomeration refers to the process of crystal clustering due to interparticle forces. Crystal agglomeration analysis from microscopic images is challenging due to the inherent lim…