activity
20122020
most citedDehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training

24 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze

Zahra Anvari, Vassilis Athitsos

Haze can degrade the visibility and the image quality drastically, thus degrading the performance of computer vision tasks such as object detection. Single image dehazing is a chal…

eess.IV202024 cited

Dehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training

Zahra Anvari, Vassilis Athitsos

Single image de-hazing is a challenging problem, and it is far from solved. Most current solutions require paired image datasets that include both hazy images and their correspondi…

cs.CV2019

A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection

Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos

Drowsiness can put lives of many drivers and workers in danger. It is important to design practical and easy-to-deploy real-world systems to detect the onset of drowsiness.In this…

cs.CV2017

Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment

Amir Ghaderi, Srujana Gattupalli, Dylan Ebert +3

HTKS is a game-like cognitive assessment method, designed for children between four and eight years of age. During the HTKS assessment, a child responds to a sequence of requests,…

cs.DB2012

A Generic Framework for Efficient and Effective Subsequence Retrieval

Haohan Zhu, George Kollios, Vassilis Athitsos

This paper proposes a general framework for matching similar subsequences in both time series and string databases. The matching results are pairs of query subsequences and databas…