30 citations · 36 across the 5 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…