Publications

Spectral and Decomposition Tracking for Rendering Heterogeneous Volumes

• July 30, 2017

• Peter Kutz (Walt Disney Animation Studios)
• Ralf Habel (Walt Disney Animation Studios)
• Yining Karl Li (Walt Disney Animation Studios)
• Jan Novák

• ACM SIGGRAPH 2017

Computational Narrative

• July 30, 2017

• Mubbasir Kapadia (Rutgers University)
• Steven Poulakos
• Markus Gross
• Bob Sumner

• ACM SIGGRAPH 2017 Courses 2017

A Computational Design Tool for Compliant Mechanisms

• July 30, 2017

• Vittorio Megaro
• Jonas Zehnder
• Moritz Bächer
• Stelian Coros (Carnegie Mellon University)
• Markus Gross
• Bernhard Thomaszewski

• ACM SIGGRAPH 2017

• Press Release:  Taking cue from nature, Disney Research designs machines that bend

Designing Cable-Driven Actuation Networks for Kinematic Chains and Trees

• July 28, 2017

• Vittorio Megaro
• Espen Knoop
• Andrew Spielberg (Massachusetts Institute of Technology)
• David I.W. Levin (University of Toronto)
• Wojciech Matusik (Massachusetts Institute of Technology)
• Markus Gross
• Bernhard Thomaszewski
• Moritz Bächer

• ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2017

• Press Release:  Design method helps animated characters gain physical form

Magic Bench

• July 26, 2017

• Kyna McIntosh
• John Mars
• Jimmy Krahe
• Jim McCann
• Alexander Rivera
• Jake Marisco (Disney Research Pittsburgh)
• Ali Israr
• Shawn Lawson (Disney Research Pittsburgh)
• Moshe Mahler

• ACM SIGGRAPH 2017

• Press Release:  Disney Research makes augmented reality a group experience

Designing Effective Inter-Pixel Information Flow for Natural Image Matting

• July 22, 2017

• Yagiz Aksoy
• Tunç Aydın
• Marc Pollefeys (ETH Zurich)

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light

• July 22, 2017

• Mahdi Abbaspour Tehrani (University of California Irvine)
• Thabo Beeler
• Anselm Grundhöfer

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

Learning Video Object Segmentation from Static Images

• July 22, 2017

• Federico Perazzi
• Anna Khoreva (Max Planck Institute for Informatics)
• Rodrigo Benenson (Max Planck Institute for Informatics)
• Bernt Schiele (Max Planck Institute for Informatics)
• Alexander Sorkine-Hornung

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

One-Shot Metric Learning for Person Re-identification

• July 22, 2017

• Slawomir Bak
• Peter Carr

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures

• July 21, 2017

• Fanyi Xiao (University of California Davis)
• Leonid Sigal
• Yong Jae Lee (University of California Davis)

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

• Press Release:  Computers using linguistic clues to deduce photo content

Factorized Variational Autoencoders for Modeling Audience Reactions to Movies

• July 21, 2017

• Zhiwei Deng (Simon Fraser University)
• Rajitha Navarathna
• Peter Carr
• Stephan Mandt
• Yisong Yue (Caltech)
• Iain Matthews
• Greg Mori (Simon Fraser University)

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017

• Press Release:  Neural nets model audience reactions to movies

Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem

• July 12, 2017

• Sehoon Ha
• Stelian Coros (Carnegie Mellon University)
• Alexander Alspach
• Joohyung Kim
• Katsu Yamane

• Robotics: Science and Systems 2017