Psarpei

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment

This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.

whisper-diarization

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

A-Graphical-Tool-for-Designing-and-Training-Deep-Neural-Networks

This work is the result of my bachelor thesis. The idea was to build a graphical tool for design, create, and test neural networks. Further the tool should be able to export the neural network to integrate it into other applications. On top of that it should be able to load and preprocessing the data.

Automotive-Self-Localization-using-Polarimetric-Radar-Master-thesis-

GanVinci

Photorealistic human image editing with GANs - Reimplementation of the paper "FEAT: Face Editing with Attention" with additional changes and improvements.

Handwritten-Text-Recognition

As part of the project we examine several approaches for recognizing text in images and predicting the whole digital text. All aproaches follow the method to break the image down into the smaller parts like lines, words or characters.

Multi-Type-TD-TSR

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Recognition-of-logical-document-structures

First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.

Subway-Station-Hazard-Detection

This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.

Psarpei/Multi-Type-TD-TSR

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Psarpei/GanVinci

Photorealistic human image editing with GANs - Reimplementation of the paper "FEAT: Face Editing with Attention" with additional changes and improvements.

Psarpei/A-Graphical-Tool-for-Designing-and-Training-Deep-Neural-Networks

This work is the result of my bachelor thesis. The idea was to build a graphical tool for design, create, and test neural networks. Further the tool should be able to export the neural network to integrate it into other applications. On top of that it should be able to load and preprocessing the data.

Psarpei/Handwritten-Text-Recognition

As part of the project we examine several approaches for recognizing text in images and predicting the whole digital text. All aproaches follow the method to break the image down into the smaller parts like lines, words or characters.

Psarpei/Subway-Station-Hazard-Detection

This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.

Psarpei/Recognition-of-logical-document-structures

First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.

Psarpei/Automotive-Self-Localization-using-Polarimetric-Radar-Master-thesis-