by Sangpil Kim | Aug 7, 2017 | 2017, Chiho Choi, Karthik Ramani, Recent Publications, Sangpil Kim, Shape Understanding
We propose a robust hand pose estimation method by learning hand articulations from depth features and auxiliary modality features. As an additional modality to depth data, we present a function of geometric properties on the surface of the hand described by heat...
by Convergence Design Lab Admin | Aug 19, 2016 | 2016, Ayan Sinha, Recent Publications, Shape Understanding, Spatial Analytics
Surfaces serve as a natural parametrization to 3D shapes. Learning surfaces using convolutional neural networks (CNNs) is a challenging task. Current paradigms to tackle this challenge are to either adapt the convolutional filters to operate on surfaces, learn...
by Convergence Design Lab Admin | Aug 1, 2016 | 2016, HUMAN SHAPE INTERACTION, Karthik Ramani, Publications, Recent Publications, Shape Understanding
Recent developments in high-throughput technologies for measuring protein-protein interaction (PPI) have profoundly advanced our ability to systematically infer protein function and regulation. However, inherently high false positive and false negative rates in...
by Chiho Choi | Jun 21, 2016 | 2016, Ayan Sinha, Chiho Choi, Karthik Ramani, Recent Publications, Shape Understanding
We propose DeepHand to estimate the 3D pose of a hand using depth data from commercial 3D sensors. We discriminatively train convolutional neural networks to output a low dimensional activation feature given a depth map. This activation feature vector is...
by wei | Nov 5, 2015 | 2015, Fabrication, Featured Publications, HUMAN SHAPE INTERACTION, Shape Understanding, TANGIBLE, EMBEDDED & EMBODIED INTERFACES, Wei Gao, Yunbo Zhang
In recent years, 3D printing has gained significant attention from the maker community, academia, and industry to support low-cost and iterative prototyping of designs. Current unidirectional extrusion systems require printing sacrificial material to support printed...
by Chiho Choi | Aug 31, 2015 | 2015, Ayan Sinha, Chiho Choi, Karthik Ramani, Recent Publications, Shape Understanding, Sujin Jang
Collaborative filtering aims to predict unknown user ratings in a recommender system by collectively assessing known user preferences. In this paper, we first draw analogies between collaborative filtering and the pose estimation problem. Specifically, we recast the...
