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20122022
most citedDehaze-GLCGAN: Unpaired Single Image De-hazing via Adversarial Training

24 citations · 26 across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.CV20222 cited

All You Need In Sign Language Production

Razieh Rastgoo, Kourosh Kiani, Sergio Escalera +2

Sign Language is the dominant form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the hearing-impaired…

cs.CV2022

A Survey on Deep learning based Document Image Enhancement

Zahra Anvari, Vassilis Athitsos

Digitized documents such as scientific articles, tax forms, invoices, contract papers, historic texts are widely used nowadays. These document images could be degraded or damaged d…

cs.CV2021

Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos

Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos

This paper focuses on task recognition and action segmentation in weakly-labeled instructional videos, where only the ordered sequence of video-level actions is available during tr…

cs.CV2020

Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos

Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos

This paper focuses on weakly-supervised action alignment, where only the ordered sequence of video-level actions is available for training. We propose a novel Duration Network, whi…

cs.CV2020

Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization

Ashiq Imran, Vassilis Athitsos

Fine-Grained Visual Categorization (FGVC) is a challenging topic in computer vision. It is a problem characterized by large intra-class differences and subtle inter-class differenc…

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…