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ORCIDAdnan Ul-Hasan
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2020 – today
- 2020
[c20]Khurram Shehzad, Adnan Ul-Hasan, Muhammad Imran Malik, Faisal Shafait:
Named Entity Recognition in Semi Structured Documents Using Neural Tensor Networks. DAS 2020: 398-409
2010 – 2019
- 2019
- [c19]Javeria Akbar, Muhammad Shahzad, Muhammad Imran Malik, Adnan Ul-Hasan, Faisal Shafait:
Runway Detection and Localization in Aerial Images using Deep Learning. DICTA 2019: 1-8 - [c18]Annus Zulfiqar, Adnan Ul-Hasan, Faisal Shafait:
Logical Layout Analysis using Deep Learning. DICTA 2019: 1-5 - [c17]Raaiha Humayun Kabir, Bisma Pervaiz, Tayyeba Muhammad Khan, Adnan Ul-Hasan, Raheel Nawaz, Faisal Shafait:
DeepRank: Adapting Neural Tensor Networks for Ranking the Recommendations. MedPRAI 2019: 162-176 - [c16]Faiza Rehman, Hira Masood, Adnan Ul-Hasan, Raheel Nawaz, Faisal Shafait:
An Intelligent Context Aware Recommender System for Real-Estate. MedPRAI 2019: 177-191 - 2018
- [c15]Sami Ur Rehman, Burhan Ul Tayyab, Muhammad Ferjad Naeem, Adnan Ul-Hasan, Faisal Shafait:
A Multi-faceted OCR Framework for Artificial Urdu News Ticker Text Recognition. DAS 2018: 211-216 - [c14]Nosheen Abid, Adnan Ul-Hasan, Faisal Shafait:
DeepParse: A Trainable Postal Address Parser. DICTA 2018: 1-8 - 2017
- [c13]Muhammad Ferjad Naeem, Noor ul Sehr Zia, Aqsa Ahmed Awan, Faisal Shafait, Adnan Ul-Hasan:
Impact of Ligature Coverage on Training Practical Urdu OCR Systems. ICDAR 2017: 131-136 - 2016
- [b1]Adnan Ul-Hasan:
Generic Text Recognition using Long Short-Term Memory Networks. University of Kaiserslautern, 2016 - [c12]Fallak Asad, Adnan Ul-Hasan, Faisal Shafait, Andreas Dengel:
High Performance OCR for Camera-Captured Blurred Documents with LSTM Networks. DAS 2016: 7-12 - [c11]Adnan Ul-Hasan, Syed Saqib Bukhari, Andreas Dengel:
OCRoRACT: A Sequence Learning OCR System Trained on Isolated Characters. DAS 2016: 174-179 - 2015
- [c10]Fotini Simistira, Adnan Ul-Hassan, Vassilis Papavassiliou, Basilis Gatos, Vassilis Katsouros
, Marcus Liwicki:
Recognition of historical Greek polytonic scripts using LSTM networks. ICDAR 2015: 766-770 - [c9]Tushar Karayil, Adnan Ul-Hasan, Thomas M. Breuel:
A segmentation-free approach for printed Devanagari script recognition. ICDAR 2015: 946-950 - [c8]Adnan Ul-Hasan, Faisal Shafait, Marcus Liwicki:
Curriculum learning for printed text line recognition of ligature-based scripts. ICDAR 2015: 1001-1005 - [c7]Adnan Ul-Hasan, Muhammad Zeshan Afzal, Faisal Shafait, Marcus Liwicki, Thomas M. Breuel:
A sequence learning approach for multiple script identification. ICDAR 2015: 1046-1050 - 2014
- [c6]Mayce Ibrahim Ali Al Azawi, Adnan Ul-Hasan, Marcus Liwicki, Thomas M. Breuel:
Character-Level Alignment Using WFST and LSTM for Post-processing in Multi-script Recognition Systems - A Comparative Study. ICIAR (1) 2014: 379-386 - 2013
- [c5]Adnan Ul-Hasan, Thomas M. Breuel:
Can we build language-independent OCR using LSTM networks? MOCR@ICDAR 2013: 9:1-9:5 - [c4]Thomas M. Breuel, Adnan Ul-Hasan, Mayce Ibrahim Ali Al Azawi, Faisal Shafait:
High-Performance OCR for Printed English and Fraktur Using LSTM Networks. ICDAR 2013: 683-687 - [c3]Adnan Ul-Hasan, Saad Bin Ahmed, Sheikh Faisal Rashid, Faisal Shafait, Thomas M. Breuel:
Offline Printed Urdu Nastaleeq Script Recognition with Bidirectional LSTM Networks. ICDAR 2013: 1061-1065 - 2012
- [c2]Adnan Ul-Hasan, Syed Saqib Bukhari, Faisal Shafait, Thomas M. Breuel:
OCR-Free Table of Contents Detection in Urdu Books. Document Analysis Systems 2012: 404-408 - [c1]Adnan Ul-Hasan, Syed Saqib Bukhari, Sheikh Faisal Rashid, Faisal Shafait, Thomas M. Breuel:
Semi-automated OCR database generation for Nabataean scripts. ICPR 2012: 1667-1670
Coauthor Index
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