Arslan Siddique

Hi everyone! Welcome to my home on the web! I am a Computer Vision researcher working as a research fellow at Sant’Anna School of Advanced Studies since September 2024. I have completed my PhD in Computer Science at University of Pisa, Italy, mainly funded by the prestigious Marie Curie PhD fellowship in EVOCATION ITN at Visual Computing Lab.

I have worked on a diverse spectrum of Computer Vision, ranging from Object detection and tracking to multi-view 3D reconstruction. During my PhD, I developed MoReLab for image-based interactive 3D modeling and user-assisted 3D reconstruction. I also worked on point cloud registration and key-frame extraction during my PhD. Currently, I am working on the automatic detection and removal of unwanted objects from large amounts of steel scrap.


Experience

Research Fellow

Working on the automatic detection and removal of unwanted objects from large amounts of steel scrap.

September 2024 - Present

Graduate Fellow

Developed further functionalities in MoReLab and conducted a comprehensive user study, leading to a research publication in IEEE Access journal

October 2023 - August, 2024

Marie Curie Early Stage Researcher

I was recruited for ESR07 position in EVOCATION ITN. I Developed a PyQt based graphical user interface called MoReLab to perform user-assisted 3D reconstruction. MoReLab allows the user to add features manually instead of automatic feature detection and matching. Bundle adjustment computes a sparse 3D point cloud for manually added feature correspondences. After this, the user can use several primitive shape tools e.g., quadrilateral, cylinder, tube etc. to model different objects and export 3D mesh. MoReLab also allows the user to measure distance between any 3D points..

March 2021 - August 2023

Research Assistant

I worked on deep learning based object detection and tracking vehicles in Wide Area Motion Imagery (WAMI). I also co-authored a Conference paper.

Nov. 2020 - March 2021

Teaching assistant

I worked as a Teaching Assistant for the course of Sensors, Perception and Actuation with instructor Ilya Afanasyev. My responsibility was to mark all homeworks, quizzes and exams according to instructor's guidelines.

Sept. 2020 - Dec. 2020

Education

University of Pisa, Italy

PhD Computer Science
Thesis Topic : Enhancing 3D reconstructions through user interactions
April 2021 - January 2025

Innopolis University, Russia

Master's in Computer Science
Thesis Topic : Trajectory Estimation of vehicles in CCTV data stream
Thesis Supervisor : Dr. Ilya Afanasyev
Aug. 2018 - July 2020

University of Engineering and Technology, Pakistan

Bachelor's in Electrical Engineering
Thesis Topic : Design and Implementation of 50kV DC Power Supply
Thesis Supervisor : Dr. Sidra Farid
Sept. 2014 - July 2018


Publications

You can find these articles on my Google Scholar profile


Skills

Technical Skills

  • Proficient with Python language and Python programming tools like Jupyter Notebook, Spyder, PyCharm
  • Proficient in Python-based Graphical User interface (GUI) development
  • Strong experience with deep learning, computer vision, and 3D multi-view geometry
  • Experience with image-based 3D modeling tools e.g., COLMAP, Metashape, 3-Sweep etc.
  • Experience with MATLAB, ROS, Ubuntu, Github, OverLeaf.

Linguistic Skills

  • Fluent in English (C1 level). Passed IELTS in January 2020 with Overall 7.5 bands. Got 9 bands in reading, 7.5 bands in listening and 6.5 bands in writing and speaking.
  • Urdu is my Native language.
  • Beginner level Italian language (A1 level).

Certifications

Online Courses

  • Introduction to Data Visualization with Matplotlib [certificate].
  • Introduction to Deep Learning with PyTorch [certificate].
  • Convolutional Neural Networks [certificate].
  • Improving Deep Neural Networks : Hyperparameter Tuning, Regularization and Optimization [certificate].
  • Neural Networks and Deep Leaarning [certificate].
  • ROS for beginners: Basics, Motion and OpenCV [certificate].
  • ROS for Beginners II: Localization, Navigation and SLAM [certificate].

Conference Participations

  • [Nov. 2021] STAG 2021 conference graduate school participation certificate .

PhD training

  • EVOCATION Entrepreneurship Training for Researchers [certificate].
  • EVOCATION workshop by Fraunhofer Institute for Computer Graphics [certificate].
  • Neural Networks and Deep Leaarning [certificate].
  • English for Research Publication and Presentation Purposes [certificate].