activity
20152024
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 3.4k across the 32 of their papers we have counts for

collaborators

33 papers

cs.CV2024★ 2 cited

Video Relationship Detection Using Mixture of Experts

Ala Shaabana, Zahra Gharaee, Paul Fieguth

Machine comprehension of visual information from images and videos by neural networks faces two primary challenges. Firstly, there exists a computational and inference gap in conne…

cs.CV2023

Memory-Efficient Continual Learning Object Segmentation for Long Video

Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee +1

Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from pre…

eess.IV2023★ 1 cited

Multi-Channel Feature Extraction for Virtual Histological Staining of Photon Absorption Remote Sensing Images

Marian Boktor, James E. D. Tweel, Benjamin R. Ecclestone +3

Accurate and fast histological staining is crucial in histopathology, impacting diagnostic precision and reliability. Traditional staining methods are time-consuming and subjective…

cs.CV2023★ 9 cited

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino +13

In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is taxonomically classified by a…

physics.med-ph2023★ 5 cited

Virtual Histology with Photon Absorption Remote Sensing using a Cycle-Consistent Generative Adversarial Network with Weakly Registered Pairs

James E. D. Tweel, Benjamin R. Ecclestone, Marian Boktor +3

Modern histopathology relies on the microscopic examination of thin tissue sections stained with histochemical techniques, typically using brightfield or fluorescence microscopy. H…

cs.CV2023

Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?

Jinman Park, Francois Barnard, Saad Hossain +2

Unsupervised domain adaptation (UDA) aims to bridge the gap between source and target domains in the absence of target domain labels using two main techniques: input-level alignmen…