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Dr. Leo Pauly

  • Department:    CVI²
  • Postal Address: CVI², Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-KalergiL-1359 Luxembourg


  • Email:                    leo.pauly@uni.lu
  • Telephone:            +44 7400439794
  • LinkedIn:               Leo Pauly
  • Google Scholar:   Leo Pauly


Leo Pauly received his PhD degree from University of Leeds, UK in 2021. His doctoral thesis was on “Observational learning of robotic manipulation tasks”. Previously he received his B.Tech degree in Electronics and Communication Engineering from Cochin University, India in 2015. His research interests are in applied Visual AI with a focus on areas of space exploration, robotics, HCI and edge systems

Research Interests

  • Computer Vision
  • Deep Learning



Pauly, Leo. 2021. “Seeing to Learn: Observational Learning of Robotic Manipulation Tasks.” PhD thesis, University of Leeds.

Pauly, Leo, Wisdom C Agboh, David C Hogg, and Raul Fuentes. 2021. “O2a: One-Shot Observational Learning with Action Vectors.” Frontiers in Robotics and AI 8: 289.

Pauly, Leo, David C Hogg, and Raul Fuentes. 2021. “Leeds Manipulation Dataset (LMD).”


Pauly, Leo, Wisdom C Agboh, David C Hogg, and Raul Fuentes. 2019. “One-Shot Observation Learning Using Visual Activity Features.”


Pauly, Leo. 2018. “Defining the Problem of Observation Learning.” arXiv Preprint arXiv:1808.08288.

Pauly, Leo, Wisdom C Agboh, Mohamed Abdellatif, David C Hogg, and Raul Fuentes. 2018. “One-Shot Observation Learning.” CoRR.


Pauly, Leo, Shan Luo, David Hogg, Harriet Peel, and Raul Fuentes. 2017. “Deeper Networks for Pavement Crack Detection.” In 34th International Symposium on Automation and Robotics in Construction (ISARC 2017), 479–85. International Association for Automation; Robotics in Construction (IAARC).


Pauly, Leo and Deepa Sankar. 2016. “Non Intrusive Eye Blink Detection from Low Resolution Images Using HOG-SVM Classifier.” International Journal of Image, Graphics and Signal Processing 8 (10): 11.


Pauly, Leo, Rahul D Raj, and Binu Paul. 2015. “Hand Written Digit Recognition System for South Indian Languages Using Artificial Neural Networks.” In 2015 Eighth International Conference on Contemporary Computing (Ic3), 122–26. IEEE.

Pauly, Leo, and Deepa Sankar. 2015a. “A Novel Online Product Recommendation System Based on Face Recognition and Emotion Detection.” In 2015 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 329–34. IEEE.

Pauly, Leo, and Deepa Sankar.. 2015b. “Detection of Drowsiness Based on HOG Features and SVM Classifiers.” In 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 181–86. IEEE.


Pauly, Leo, Pathma Priya, and Anju Pradeep. 2014. “SRR Frequency Estimator Using Artificial Neural Network.” In 4ͭth National Technological Congress Kerala (NATCON 2014), 305–8.