32 citations · 55 across the 6 of their papers we have counts for
6 papers
Continual Learning for Out-of-Distribution Pedestrian Detection
Mahdiyar Molahasani, Ali Etemad, Michael Greenspan
A continual learning solution is proposed to address the out-of-distribution generalization problem for pedestrian detection. While recent pedestrian detection models have achieved…
On The Relationship Between Continual Learning and Long-Tailed Recognition
Mahdiyar Molahasani, Michael Greenspan, Ali Etemad
Real-world datasets often exhibit long-tailed distributions, where a few dominant "Head" classes have abundant samples while most "Tail" classes are severely underrepresented, lead…
Multiscale Crowd Counting and Localization By Multitask Point Supervision
Mohsen Zand, Haleh Damirchi, Andrew Farley +3
We propose a multitask approach for crowd counting and person localization in a unified framework. As the detection and localization tasks are well-correlated and can be jointly ta…
Capsule GAN for Prostate MRI Super-Resolution
Mahdiyar Molahasani Majdabadi, Younhee Choi, S. Deivalakshmi +1
Prostate cancer is a very common disease among adult men. One in seven Canadian men is diagnosed with this cancer in their lifetime. Super-Resolution (SR) can facilitate early diag…
PaXNet: Dental Caries Detection in Panoramic X-ray using Ensemble Transfer Learning and Capsule Classifier
Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Seok-Bum Ko
Dental caries is one of the most chronic diseases involving the majority of the population during their lifetime. Caries lesions are typically diagnosed by radiologists relying onl…
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning
Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Younhee Choi +2
One of the primary clinical observations for screening the infectious by the novel coronavirus is capturing a chest x-ray image. In most of the patients, a chest x-ray contains abn…