cv

Master’s in Computer Science (GPA: 3.6/4)

• Supported by Stipendium Hungaricum Scholarship
• Related Courses
  • Computer Vision Systems: 5/5
  • GPGPU Applications: 5/5
  • High Performance Parallel Computing: 5/5
  • Parallel Programming Laboratory: 5/5
  • Information Theory: 5/5

Bachelor’s degree in Engineering

NeRF Models in Virtual Reality Environment (Master’s thesis)

• Presented a crowdsourcing and mapping pipeline that enables the generation of accurate neural radiance field (NeRF) maps from camera feeds of autonomous vehicles.
• Compared four different models (Nerfacto, TensoRF, Instant-NGP, 3D Gaussian Splatting), and evaluate the accuracy of the reconstructions based on the number of acquisition vehicles and trajectory variations.
• Demonstrated interactive visualization of the NeRF maps in a Virtual Reality environment.

Remote Sensing for Earth Observation (Lab Project)

• Built a large, multi-temporal dataset on a global scale for removing clouds and cloud shadows from satellite imagery.
• Demonstrated the effectiveness of cooperation between drones and satellites with multispectral images in an early wildfire monitoring and rescue system.

Computer Vision-Based Assistance System (Bachelor’s Thesis)

• Designed a Real-Time computer vision-based lab assistance system.
• Implemented an indoor uncontrolled fire detection method.
• Implemented a deep learning algorithm for indoor scene understanding.

Deep Retinal Image Understanding (Summer Project)

• Demonstrated visual explanation on U-Net based on Grad-CAM method.
• Found the bottom neck layers in CNN and improved the accuracy in classification task.