All posts by Costin Bernhart

Multilingual Speech Recognition for Low-Resource Languages

Diplomarbeit/Master thesis Supervisor: Martin Kampel Status: open Motivation Speech recognition has achieved impressive performance for major world languages such as English, Mandarin, or Spanish. However, many languages with smaller speaker communities suffer from a lack of resources for training accurate models. In various scenarios, multilingual speech interfaces can play an important role—e.g. in automated translation, command … Continue reading Multilingual Speech Recognition for Low-Resource Languages

Bias and Fairness in Deep Learning-Based Facial Recognition

Project/Bachelor thesis Supervisor: Martin Kampel Status: open MotivationSince the breakthrough of DeepFace in 2014 — a deep learning-based facial recognition system that achieved 97.35% accuracy, nearly reaching the level of human experts on the Labeled Faces in the Wild (LFW) dataset — artificial neural networks have become the dominant methodology in facial recognition. Despite impressive results, … Continue reading Bias and Fairness in Deep Learning-Based Facial Recognition

Symbol Recognition in Images and Videos – Robust Methods for Complex Scenarios

Project/Bachelor thesis Supervisor: Martin Kampel Status: open MotivationAutomated recognition of visual symbols is a central topic across many application areas, including intelligent goods tracking, digital marketing, and the protection of intellectual property and trademark rights. Symbol recognition is also particularly relevant in identifying extremist symbols (e.g., Nazi symbols or terrorist organization logos) on digital platforms for … Continue reading Symbol Recognition in Images and Videos – Robust Methods for Complex Scenarios

AI-Based Detection of Explicit Content in Image and Video Data

Project/Bachelor thesis Supervisor: Martin Kampel Status: open Motivation Every day, enormous amounts of image and video content are uploaded to platforms like YouTube, Instagram, or X (formerly Twitter). Among this content — depending on the platform and moderation policies — are also materials containing nudity, pornography, or other explicit material. Such content not only violates the … Continue reading AI-Based Detection of Explicit Content in Image and Video Data

RailDataFlow: AI-Based Detection of Seat Occupancy and Medical Emergencies in Railway Passenger Cabins

Diplomarbeit/Master thesis Supervisor: Martin Kampel Status: open Motivation As part of the digitalisation and automation of public transport systems, an innovative platform is being developed to meet the specific operational needs of railway environments. The goal is to test intelligent systems under real-world operating conditions in order to enhance efficiency, safety, and service quality in train … Continue reading RailDataFlow: AI-Based Detection of Seat Occupancy and Medical Emergencies in Railway Passenger Cabins