Sibt ul Hussain

According to our database1, Sibt ul Hussain authored at least 15 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Roman-Urdu-Parl: Roman-Urdu and Urdu Parallel Corpus for Urdu Language Understanding.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

2021
Deep Learning-based Roman-Urdu to Urdu Transliteration.
Int. J. Pattern Recognit. Artif. Intell., 2021

2020
Large Scale Font Independent Urdu Text Recognition System.
CoRR, 2020

Predicting the pathogenicity of protein coding mutations using Natural Language Processing.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Improving Super Resolution Methods Via Incremental Residual Learning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
End-to-End Trained CNN Encoder-Decoder Networks for Image Steganography.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Sequence to Sequence Networks for Roman-Urdu to Urdu Transliteration.
CoRR, 2017

Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes.
CoRR, 2017

End-to-end Trained CNN Encode-Decoder Networks for Image Steganography.
CoRR, 2017

Recovering Homography from Camera Captured Documents using Convolutional Neural Networks.
CoRR, 2017

2012
Local Higher-Order Statistics (LHS) for Texture Categorization and Facial Analysis.
Proceedings of the Computer Vision - ECCV 2012, 2012

Visual Recognition Using Local Quantized Patterns.
Proceedings of the Computer Vision - ECCV 2012, 2012

Face Recognition using Local Quantized Patterns.
Proceedings of the British Machine Vision Conference, 2012

2011
Machine Learning Methods for Visual Object Detection. (Apprentissage machine pour la détection des objets).
PhD thesis, 2011

2010
Feature Sets and Dimensionality Reduction for Visual Object Detection.
Proceedings of the British Machine Vision Conference, 2010


  Loading...