Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning

no code implementations • 3 Nov 2020 • Enrique Sanchez, Adrian Bulat, Anestis Zaganidis, Georgios Tzimiropoulos

The second stage uses another dataset of randomly chosen labeled frames to train a regressor on top of our spatio-temporal model for estimating the AU intensity.

Contrastive Learning Unsupervised Pre-training

Recurrent-OctoMap: Learning State-based Map Refinement for Long-Term Semantic Mapping with 3D-Lidar Data

no code implementations • 2 Jul 2018 • Li Sun, Zhi Yan, Anestis Zaganidis, Cheng Zhao, Tom Duckett

Most existing semantic mapping approaches focus on improving semantic understanding of single frames, rather than 3D refinement of semantic maps (i. e. fusing semantic observations).