7 citations · 13 across the 4 of their papers we have counts for
5 papers
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images
Sachin Mehta, Ximing Lu, Donald Weaver +3
Training end-to-end networks for classifying gigapixel size histopathological images is computationally intractable. Most approaches are patch-based and first learn local represent…
Learning Stylized Character Expressions from Humans
Deepali Aneja, Alex Colburn, Gary Faigin +2
We present DeepExpr, a novel expression transfer system from humans to multiple stylized characters via deep learning. We developed : 1) a data-driven perceptual model of facial ex…
A Facial Affect Analysis System for Autism Spectrum Disorder
Beibin Li, Sachin Mehta, Deepali Aneja +4
In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, ar…
Identifying Most Walkable Direction for Navigation in an Outdoor Environment
Sachin Mehta, Hannaneh Hajishirzi, Linda Shapiro
We present an approach for identifying the most walkable direction for navigation using a hand-held camera. Our approach extracts semantically rich contextual information from the…
Learning to Segment Breast Biopsy Whole Slide Images
Sachin Mehta, Ezgi Mercan, Jamen Bartlett +3
We trained and applied an encoder-decoder model to semantically segment breast biopsy images into biologically meaningful tissue labels. Since conventional encoder-decoder networks…