21 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.SD2023★ 3 cited
Towards Robust FastSpeech 2 by Modelling Residual Multimodality
Fabian Kögel, Bac Nguyen, Fabien Cardinaux
State-of-the-art non-autoregressive text-to-speech (TTS) models based on FastSpeech 2 can efficiently synthesise high-fidelity and natural speech. For expressive speech datasets ho…
cs.CV2021★ 21 cited
Multimodal Integration of Human-Like Attention in Visual Question Answering
Ekta Sood, Fabian Kögel, Philipp Müller +3
Human-like attention as a supervisory signal to guide neural attention has shown significant promise but is currently limited to uni-modal integration - even for inherently multimo…
cs.CV2021★ 16 cited
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
Ekta Sood, Fabian Kögel, Florian Strohm +2
We present VQA-MHUG - a novel 49-participant dataset of multimodal human gaze on both images and questions during visual question answering (VQA) collected using a high-speed eye t…