22 citations · 38 across the 5 of their papers we have counts for
5 papers
Your Spending Needs Attention: Modeling Financial Habits with Transformers
D. T. Braithwaite, Misael Cavalcanti, R. Austin McEver +9
Predictive models play a crucial role in the financial industry, enabling risk prediction, fraud detection, and personalized recommendations, where slight changes in core model per…
Context-Matched Collage Generation for Underwater Invertebrate Detection
R. Austin McEver, Bowen Zhang, B. S. Manjunath
The quality and size of training sets often limit the performance of many state of the art object detectors. However, in many scenarios, it can be difficult to collect images for t…
Context-Driven Detection of Invertebrate Species in Deep-Sea Video
R. Austin McEver, Bowen Zhang, Connor Levenson +2
Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity…
GTNet:Guided Transformer Network for Detecting Human-Object Interactions
A S M Iftekhar, Satish Kumar, R. Austin McEver +2
The human-object interaction (HOI) detection task refers to localizing humans, localizing objects, and predicting the interactions between each human-object pair. HOI is considered…
PCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision
R. Austin McEver, B. S. Manjunath
Current state of the art methods for generating semantic segmentation rely heavily on a large set of images that have each pixel labeled with a class of interest label or backgroun…