by Sarah Frigg | Aug 7, 2016 | Machine Learning
Multiplicative Representation for Unsupervised Semantic Role Induction We propose a neural model to learn argument embeddings from the context by explicitly incorporating dependency relations as multiplicative factors. August 7, 2016The Annual Meeting of the...
by Sarah Frigg | Jul 11, 2016 | Animation, Visual Computing
Real-time Skeletal Skinning with Optimized Centers of Rotation Our method significantly reduces the artifacts of LBS and DQS while maintaining real-time performance and backwards compatibility with the animation pipeline. July 11, 2016ACM SIGGRAPH 2016 ...
by Martina Megaro | Jul 11, 2016 | Digital Fabrication, Visual Computing
Acoustic Voxels: Computational Optimization of Modular Acoustic Filters In our approach, we construct an acoustic filter comprised of a set of parameterized shape primitives, whose transmission matrices can be precomputed. July 11, 2016ACM SIGGRAPH 2016 Authors...
by Sarah Frigg | Jul 10, 2016 | Digital Fabrication
A Compiler for 3D Machine Knitting We present a compiler that can automatically turn assemblies of high-level shape primitives (tubes, sheets) into low-level machine instructions. July 10, 2016ACM SIGGRAPH 2016 Authors James McCann (Disney Research) Lea...
by Martina Megaro | Jun 27, 2016 | Machine Learning
Harnessing Object and Scene Semantics for Large-Scale Video Understanding We propose a novel object- and scene-based semantic fusion network and representation. June 27, 2016IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Authors...
