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publications
DeepBrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
Published in IEEE Transactions on Automation Science and Engineering (T-ASE), 2025
We propose DeepBrownConrady (DBC), a deep learning approach that predicts camera calibration and distortion parameters directly from single images using synthetic data. 
Recommended citation: Faiz Muhammad Chaudhry, Jarno Ralli, Jerome Leudet, Fahad Sohrab, Farhad Pakdaman, and Pierre Corbani. (2025). "DeepBrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data." IEEE Transactions on Automation Science and Engineering (T-ASE).
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talks
DeepBrownConrady: Predicting Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
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I will be presenting my paper DeepBrownConrady (DBC) at AI Day 2025, organized by the Finnish Center for Artificial Intelligence (FCAI).
teaching
Teaching Assistant – Artificial Intelligence
Undergraduate course, FAST-NUCES, Department of Computer Science, 2020
Undergraduate course (Spring 2020)
Teaching Assistant – Pattern Recognition and Machine Learning
Graduate course, Tampere University, Faculty of Computing and Electrical Engineering, 2023
Graduate course (Fall 2023)