All posts by Manuel Keglevic

Deep Learning-based Forensic Writer Retrieval/Document Segmentation

Status: available Supervisor: Manuel Keglevic Why? Law enforcement agencies possess an extensive collection of handwritten documents. This includes for example documents belonging to open cases, for example death threats, and reference samples from suspects and prisoners. Yet, these collections of documents can only be utilized to a limited extend, since for an identification of an … Continue reading Deep Learning-based Forensic Writer Retrieval/Document Segmentation

Deep Learning-based Image Compression

Status: available Supervisors: Manuel Keglevic, Matthias Wödlinger Why? Traditional lossy image compression techniques like JPEG are pretty old and are honestly only used today because they are built-in in every device that can process images from your camera to your smart watch (and definitely your smart toaster). Since Deep Learning-based end-to-end solutions work pretty well … Continue reading Deep Learning-based Image Compression

Manuel Keglevic Publications

2019 Manuel Keglevic, Silvia Wilhelm, Robert Sablatnig. impress: A Forensic Footwear Impression Dataset. In Proceedings of the IET International Conference on Imaging for Crime Detection and Prevention (ICDP), 2019. Manuel Keglevic, Robert Sablatnig. impress: Forensic Footwear Impression Retrieval. In proceedings of the ARW & OAGM Workshop, 2019. 2018 Manuel Keglevic, Stefan Fiel, Robert Sablatnig. Learning … Continue reading Manuel Keglevic Publications