4 citations · 4 across the 5 of their papers we have counts for
6 papers
Sentence Attention Blocks for Answer Grounding
Seyedalireza Khoshsirat, Chandra Kambhamettu
Answer grounding is the task of locating relevant visual evidence for the Visual Question Answering task. While a wide variety of attention methods have been introduced for this ta…
Empowering Visually Impaired Individuals: A Novel Use of Apple Live Photos and Android Motion Photos
Seyedalireza Khoshsirat, Chandra Kambhamettu
Numerous applications have been developed to assist visually impaired individuals that employ a machine learning unit to process visual input. However, a critical challenge with th…
Local Neighborhood Features for 3D Classification
Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu
With advances in deep learning model training strategies, the training of Point cloud classification methods is significantly improving. For example, PointNeXt, which adopts promin…
Semantic Segmentation using Neural Ordinary Differential Equations
Seyedalireza Khoshsirat, Chandra Kambhamettu
The idea of neural Ordinary Differential Equations (ODE) is to approximate the derivative of a function (data model) instead of the function itself. In residual networks, instead o…
Three-Dimensional Segmentation of Vesicular Networks of Fungal Hyphae in Macroscopic Microscopy Image Stacks
P. Saponaro, W. Treible, A. Kolagunda +4
Automating the extraction and quantification of features from three-dimensional (3-D) image stacks is a critical task for advancing computer vision research. The union of 3-D image…
Robust Shape Registration using Fuzzy Correspondences
Abhishek Kolagunda, Scott Sorensen, Philip Saponaro +2
Shape registration is the process of aligning one 3D model to another. Most previous methods to align shapes with no known correspondences attempt to solve for both the transformat…