106 citations · 127 across the 6 of their papers we have counts for
7 papers
PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models
Jose Edgar Hernandez Cancino Estrada, Mauro Díaz Lupone, Žiga Emeršič +3
Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as models may continue to synthesize…
EdgeEar: Efficient and Accurate Ear Recognition for Edge Devices
Camile Lendering, Bernardo Perrone Ribeiro, Žiga Emeršič +1
Ear recognition is a contactless and unobtrusive biometric technique with applications across various domains. However, deploying high-performing ear recognition models on resource…
The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix
Žiga Emeršič, Aruna Kumar S. V., B. S. Harish +28
This paper presents a summary of the 2019 Unconstrained Ear Recognition Challenge (UERC), the second in a series of group benchmarking efforts centered around the problem of person…
Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wild
Žiga Emeršič, Dejan Štepec, Vitomir Štruc +1
Identity recognition from ear images is an active field of research within the biometric community. The ability to capture ear images from a distance and in a covert manner makes e…
The Unconstrained Ear Recognition Challenge
Žiga Emeršič, Dejan Štepec, Vitomir Štruc +11
In this paper we present the results of the Unconstrained Ear Recognition Challenge (UERC), a group benchmarking effort centered around the problem of person recognition from ear i…
Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks
Žiga Emeršič, Luka Lan Gabriel, Vitomir Štruc +1
Object detection and segmentation represents the basis for many tasks in computer and machine vision. In biometric recognition systems the detection of the region-of-interest (ROI)…
Ear Recognition: More Than a Survey
Žiga Emeršič, Vitomir Štruc, Peter Peer
Automatic identity recognition from ear images represents an active field of research within the biometric community. The ability to capture ear images from a distance and in a cov…