by Martina Megaro | Jul 4, 2016 | Digital Fabrication, Visual Computing
Designing Structurally-Sound Ornamental Curve Networks We present a computational tool for designing ornamental curve networks—structurally-sound physical surfaces with user-controlled aesthetics. July 11, 2016ACM SIGGRAPH 2016 Authors Jonas Zehnder (Disney...
by Martina Megaro | Jun 27, 2016 | Video Processing, Visual Computing
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation We present a new benchmark dataset and evaluation methodology for the area of video object segmentation. June 27, 2016IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 ...
by Martina Megaro | Jun 27, 2016 | Video Processing, Visual Computing
Bilateral Space Video Segmentation We propose a novel approach to video segmentation that operates in bilateral space. June 27, 2016IEEE Conference on Computer Vision Pattern Recognition (CVPR) 2016 Authors Nicolas Märki (Disney Research/ETH Joint B.Sc.) Federico...
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...
by Martina Megaro | Jun 27, 2016 | Machine Learning
Learning Activity Progression in LSTMs for Activity Detection and Early Detection In this work we improve training of temporal deep models to better learn activity progression for activity detection and early detection tasks. June 27, 2016IEEE Conference on Computer...
