2 code implementations • CVPR 2019 • Adnane Boukhayma, Rodrigo de Bem, Philip H. S. Torr
We present in this work the first end-to-end deep learning based method that predicts both 3D hand shape and pose from RGB images in the wild.
Ranked #10 on 3D Hand Pose Estimation on FreiHAND (PA-MPVPE metric)
no code implementations • 17 Apr 2018 • Rodrigo de Bem, Arnab Ghosh, Thalaiyasingam Ajanthan, Ondrej Miksik, Adnane Boukhayma, N. Siddharth, Philip Torr
However, the latent space learned by such approaches is typically not interpretable, resulting in less flexibility.
no code implementations • ICLR 2018 • Zohar Ringel, Rodrigo de Bem
In this paper we approach two relevant deep learning topics: i) tackling of graph structured input data and ii) a better understanding and analysis of deep networks and related learning algorithms.