22 citations · 31 across the 8 of their papers we have counts for
4 papers · 1 filter
Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
Shaurjya Mandal, Nutan Sharma, John Galeotti
Human mesh recovery from single images remains challenging due to inherent depth ambiguity and limited generalization across domains. While recent methods combine regression and op…
Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions
Gautam Rajendrakumar Gare, John Michael Galeotti
Class labels used for machine learning are relatable to each other, with certain class labels being more similar to each other than others (e.g. images of cats and dogs are more si…
A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning
Edward Chen, Tejas Sudharshan Mathai, Vinit Sarode +2
Identifying landmarks in the femoral area is crucial for ultrasound (US) -based robot-guided catheter insertion, and their presentation varies when imaged with different scanners.…
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images
Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla +1
Ultra High Frequency Ultrasound (UHFUS) enables the visualization of highly deformable small and medium vessels in the hand. Intricate vessel-based measurements, such as intimal wa…