326 citations · 790 across the 29 of their papers we have counts for
8 papers · 1 filter
The Box Size Confidence Bias Harms Your Object Detector
Johannes Gilg, Torben Teepe, Fabian Herzog +1
Countless applications depend on accurate predictions with reliable confidence estimates from modern object detectors. It is well known, however, that neural networks including obj…
Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments
Martin Knoche, Stefan Hörmann, Gerhard Rigoll
Real-world face recognition applications often deal with suboptimal image quality or resolution due to different capturing conditions such as various subject-to-camera distances, p…
Susceptibility to Image Resolution in Face Recognition and Trainings Strategies
Martin Knoche, Stefan Hörmann, Gerhard Rigoll
Face recognition approaches often rely on equal image resolution for verifying faces on two images. However, in practical applications, those image resolutions are usually not in t…
Attention-based Partial Face Recognition
Stefan Hörmann, Zeyuan Zhang, Martin Knoche +2
Photos of faces captured in unconstrained environments, such as large crowds, still constitute challenges for current face recognition approaches as often faces are occluded by obj…
How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild
Okan Köpüklü, Maja Taseska, Gerhard Rigoll
Successful active speaker detection requires a three-stage pipeline: (i) audio-visual encoding for all speakers in the clip, (ii) inter-speaker relation modeling between a referenc…
Adversarial Joint Training with Self-Attention Mechanism for Robust End-to-End Speech Recognition
Lujun Li, Yikai Kang, Yuchen Shi +3
Lately, the self-attention mechanism has marked a new milestone in the field of automatic speech recognition (ASR). Nevertheless, its performance is susceptible to environmental in…