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03/05/2023
CueCAn: Cue Driven Contextual Attention For Identifying Missing Traffic Signs on Unconstrained Roads
Unconstrained Asian roads often involve poor infrastructure, affecting o...
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12/30/2022
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
The previous fine-grained datasets mainly focus on classification and ar...
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12/17/2022
Towards Robust Handwritten Text Recognition with On-the-fly User Participation
Long-term OCR services aim to provide high-quality output to their users...
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04/18/2022
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads
In many Asian countries with unconstrained road traffic conditions, driv...
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01/17/2022
Automatic Quantification and Visualization of Street Trees
Assessing the number of street trees is essential for evaluating urban g...
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01/10/2022
Towards Boosting the Accuracy of Non-Latin Scene Text Recognition
Scene-text recognition is remarkably better in Latin languages than the ...
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01/10/2022
Transfer Learning for Scene Text Recognition in Indian Languages
Scene text recognition in low-resource Indian languages is challenging b...
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10/23/2021
Multi-Domain Incremental Learning for Semantic Segmentation
Recent efforts in multi-domain learning for semantic segmentation attemp...
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09/11/2021
Evaluating Computer Vision Techniques for Urban Mobility on Large-Scale, Unconstrained Roads
Conventional approaches for addressing road safety rely on manual interv...
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05/05/2021
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain
In the present paper we present the potential of Explainable Artificial ...
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04/06/2021
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series
Machine learning-based systems are rapidly gaining popularity and in-lin...
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04/06/2020
