6 citations · 6 across the 2 of their papers we have counts for
4 papers · 1 filter
ProtoFair: Fair Self-Supervised Contrastive Learning via Pseudo-Counterfactual Pairs
Marah Halawa, Olaf Hellwich
Self-supervised learning methods learn high-quality visual representations, yet recent studies show that these representations often capture demographic biases present in the train…
Multi-Task Multi-Modal Self-Supervised Learning for Facial Expression Recognition
Marah Halawa, Florian Blume, Pia Bideau +3
Human communication is multi-modal; e.g., face-to-face interaction involves auditory signals (speech) and visual signals (face movements and hand gestures). Hence, it is essential…
WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference
Doris Antensteiner, Marah Halawa, Asra Aslam +6
In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2023, organized alongside the hybrid CVPR 2023 in Vancouver, Canada. WiCV aims to amplify the voic…
Learning Disentangled Expression Representations from Facial Images
Marah Halawa, Manuel Wöllhaf, Eduardo Vellasques +2
Face images are subject to many different factors of variation, especially in unconstrained in-the-wild scenarios. For most tasks involving such images, e.g. expression recognition…