activity
20182025
most citedVisual Speech Recognition for Multiple Languages in the Wild

158 citations · 646 across the 34 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 77 cited

Lip-reading with Densely Connected Temporal Convolutional Networks

Pingchuan Ma, Yujiang Wang, Jie Shen +2

In this work, we present the Densely Connected Temporal Convolutional Network (DC-TCN) for lip-reading of isolated words. Although Temporal Convolutional Networks (TCN) have recent…

cs.CV2020★ 5 cited

Towards Practical Lipreading with Distilled and Efficient Models

Pingchuan Ma, Brais Martinez, Stavros Petridis +1

Lipreading has witnessed a lot of progress due to the resurgence of neural networks. Recent works have placed emphasis on aspects such as improving performance by finding the optim…

cs.LG2020★ 30 cited

Efficient Continuous Pareto Exploration in Multi-Task Learning

Pingchuan Ma, Tao Du, Wojciech Matusik

Tasks in multi-task learning often correlate, conflict, or even compete with each other. As a result, a single solution that is optimal for all tasks rarely exists. Recent papers i…

cs.CV2020

A Content Transformation Block For Image Style Transfer

Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma +2

Style transfer has recently received a lot of attention, since it allows to study fundamental challenges in image understanding and synthesis. Recent work has significantly improve…

eess.AS2020

Visually Guided Self Supervised Learning of Speech Representations

Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma +2

Self supervised representation learning has recently attracted a lot of research interest for both the audio and visual modalities. However, most works typically focus on a particu…

cs.CV2020

Lipreading using Temporal Convolutional Networks

Brais Martinez, Pingchuan Ma, Stavros Petridis +1

Lip-reading has attracted a lot of research attention lately thanks to advances in deep learning. The current state-of-the-art model for recognition of isolated words in-the-wild c…