158 citations · 646 across the 34 of their papers we have counts for
7 papers · 1 filter
Detecting Adversarial Attacks On Audiovisual Speech Recognition
Pingchuan Ma, Stavros Petridis, Maja Pantic
Adversarial attacks pose a threat to deep learning models. However, research on adversarial detection methods, especially in the multi-modal domain, is very limited. In this work,…
Learning Efficient Video Representation with Video Shuffle Networks
Pingchuan Ma, Yao Zhou, Yu Lu +1
3D CNN shows its strong ability in learning spatiotemporal representation in recent video recognition tasks. However, inflating 2D convolution to 3D inevitably introduces additiona…
Towards Pose-invariant Lip-Reading
Shiyang Cheng, Pingchuan Ma, Georgios Tzimiropoulos +4
Lip-reading models have been significantly improved recently thanks to powerful deep learning architectures. However, most works focused on frontal or near frontal views of the mou…
Investigating the Lombard Effect Influence on End-to-End Audio-Visual Speech Recognition
Pingchuan Ma, Stavros Petridis, Maja Pantic
Several audio-visual speech recognition models have been recently proposed which aim to improve the robustness over audio-only models in the presence of noise. However, almost all…
Video-Driven Speech Reconstruction using Generative Adversarial Networks
Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis +1
Speech is a means of communication which relies on both audio and visual information. The absence of one modality can often lead to confusion or misinterpretation of information. I…
End-to-End Visual Speech Recognition for Small-Scale Datasets
Stavros Petridis, Yujiang Wang, Pingchuan Ma +2
Visual speech recognition models traditionally consist of two stages, feature extraction and classification. Several deep learning approaches have been recently presented aiming to…