5 citations · 11 across the 8 of their papers we have counts for
8 papers
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data
Ximing Wen, Rosina O. Weber, Anik Sen +9
Point-of-Care Ultrasound (POCUS) is the practice of clinicians conducting and interpreting ultrasound scans right at the patient's bedside. However, the expertise needed to interpr…
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure
Darryl Hannan, Steven C. Nesbit, Ximing Wen +10
Detecting elevated intracranial pressure (ICP) is crucial in diagnosing and managing various neurological conditions. These fluctuations in pressure are transmitted to the optic ne…
Event-to-Video Conversion for Overhead Object Detection
Darryl Hannan, Ragib Arnab, Gavin Parpart +3
Collecting overhead imagery using an event camera is desirable due to the energy efficiency of the image sensor compared to standard cameras. However, event cameras complicate down…
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples
Darryl Hannan, Steven C. Nesbit, Ximing Wen +10
Point-of-Care Ultrasound (POCUS) refers to clinician-performed and interpreted ultrasonography at the patient's bedside. Interpreting these images requires a high level of expertis…
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
Adyasha Maharana, Darryl Hannan, Mohit Bansal
Recent advances in text-to-image synthesis have led to large pretrained transformers with excellent capabilities to generate visualizations from a given text. However, these models…
Improving Generation and Evaluation of Visual Stories via Semantic Consistency
Adyasha Maharana, Darryl Hannan, Mohit Bansal
Story visualization is an under-explored task that falls at the intersection of many important research directions in both computer vision and natural language processing. In this…
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
Darryl Hannan, Akshay Jain, Mohit Bansal
We present a new multimodal question answering challenge, ManyModalQA, in which an agent must answer a question by considering three distinct modalities: text, images, and tables.…
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons
Edward Kim, Darryl Hannan, Garrett Kenyon
Deep feed-forward convolutional neural networks (CNNs) have become ubiquitous in virtually all machine learning and computer vision challenges; however, advancements in CNNs have a…