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BendFields

Designers frequently draw curvature lines to convey bending of smooth surfaces in concept sketches. We present a method to extrapolate curvature lines in a rough concept sketch, recovering the intended 3D curvature field and surface normal at each pixel of the sketch. This 3D information allows to enrich the sketch with 3D-looking shading and... (more)

Simulating the Visual Experience of Very Bright and Very Dark Scenes

The human visual system can operate in a wide range of illumination levels due to several adaptation processes working in concert. For the most part,... (more)

Complex Luminaires

Simulating a complex luminaire such as a chandelier is expensive and slow, even using state-of-the-art algorithms. A more practical alternative is to use precomputation to accelerate rendering. Prior approaches cached information on an aperture surface that separates the luminaire from the scene, but many luminaires have large or ill-defined... (more)

Water Wave Animation via Wavefront Parameter Interpolation

We present an efficient wavefront tracking algorithm for animating bodies of water that interact with their environment. Our contributions include: a... (more)

A Total Variation Approach for Customizing Imagery to Improve Visual Acuity

We describe a technique to generate imagery with improved sharpness for individuals having refractive vision problems. Our method can reduce their... (more)

Discrete Derivatives of Vector Fields on Surfaces -- An Operator Approach

Vector fields on surfaces are fundamental in various applications in computer graphics and geometry processing. In many cases, in addition to... (more)

LOD Generation for Urban Scenes

We introduce a novel approach that reconstructs 3D urban scenes in the form of levels of detail (LODs). Starting from raw datasets such as surface meshes generated by multiview stereo systems, our algorithm proceeds in three main steps: classification, abstraction, and reconstruction. From geometric attributes and a set of semantic rules combined... (more)

Hyperspectral Modeling of Skin Appearance

Exploration of the hyperspectral domain offers a host of new research and application possibilities involving material appearance modeling. In this article, we address these prospects with respect to human skin, one of the most ubiquitous materials portrayed in synthetic imaging. We present the first hyperspectral model designed for the predictive... (more)

Using Nesterov's Method to Accelerate Multibody Dynamics with Friction and Contact

We present a solution method that, compared to the traditional Gauss-Seidel approach, reduces the time required to simulate the dynamics of large... (more)

RingIt

The multitude of cameras constantly present nowadays redefines the meaning of capturing an event and the meaning of sharing this event with others. The images are frequently uploaded to a common platform, and the image navigation challenge naturally arises. We introduce RingIt: a spectral technique for recovering the spatial order of a set of still... (more)

Real-Time Nonlinear Shape Interpolation

We introduce a scheme for real-time nonlinear interpolation of a set of shapes. The scheme exploits the structure of the shape interpolation problem, in particular the fact that the set of all possible interpolated shapes is a low-dimensional object in a high-dimensional shape space. The interpolated shapes are defined as the minimizers of a... (more)

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About TOMACS

The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods.

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Forthcoming Articles
Online Structure Analysis for Real-time Indoor Scene Reconstruction

We propose a real-time approach for indoor scene reconstruction. It is capable of producing a ready-to-use 3D scene model even while the user is still scanning the environment with a consumer depth camera. Our approach features explicit representations of planar regions and non-planar objects extracted from the noisy feed of the depth camera, via an online structure analysis on the dynamic, incomplete data. The structural information is incorporated into the volumetric representation of the scene, resulting in a seamless integration with KinectFusion's global data structure and an efficient implementation of the whole reconstruction process. Moreover, heuristics based on rectilinear shapes in typical indoor scenes effectively eliminate camera tracking drift and further improve reconstruction accuracy. The instantaneous feedback enabled by our on-the-fly structure analysis, including repeated object recognition, allows the user to selectively scan the scene and produce high fidelity large-scale models efficiently. We demonstrate the capability of our system with real-life examples.

Continuum Foam: A Material Point Method for Shear-Dependent Flows

We consider the simulation of dense foams composed of microscopic bubbles, such as shaving cream and whipped cream. We represent foam not as a collection of discrete bubbles, but instead as a continuum. We employ the Material Point Method (MPM) to discretize a hyperelastic constitutive relation augmented with the Herschel-Bulkley model of non-Newtonian plastic flow, which is known to closely approximate foam behavior. Since large shearing flows in foam can produce poor distributions of material points, a typical MPM implementation can produce non-physical internal holes in the continuum. To address these artifacts, we introduce a particle resampling method for MPM. In addition, we introduce an explicit tearing model to prevent regions from shearing into artificially-thin, honey-like threads. We evaluate our methods efficacy by simulating a number of dense foams, and validate our method by comparing to real-world footage of foam.

Automatic Photo Adjustment Using Deep Neural Networks

Photo retouching enables photographers to invoke dramatic visual impressions by artistically enhancing their photos through stylistic color and tone adjustments. However, it is also a time-consuming and challenging task that requires advanced skills beyond the abilities of casual photographers. Using an automated algorithm is an appealing alternative to manual work but such an algorithm faces many hurdles. Many photographic styles rely on subtle adjustments that depend on the image content and even its semantics. Further, these adjustments are often spatially varying. Because of these characteristics, existing automatic algorithms are still limited and cover only a subset of these challenges. Recently, deep machine learning has shown abilities to address hard problems that resisted machine algorithms for long. In this paper, we explain how to formulate the automatic photo adjustment problem using deep learning. We also introduce an image descriptor that accounts for the local semantics of an image. Our experiments demonstrate that our deep learning formulation applied using these descriptors successfully capture sophisticated photographic styles. In particular and unlike previous techniques, it can model local adjustments that depend on the image semantics. We show on several examples that this yields results that are qualitatively and quantitatively better than previous work.

Q-MAT: Computing Medial Axis Transform By Quadratic Error Minimization

The medial axis transform (MAT) is an important shape representation for shape approximation, shape recognition, and shape retrieval. Despite of years of research, there is still a lack of effective methods for efficient, robust and accurate computation of the MAT. We present an efficient method, called {\em Q-MAT}, that uses quadratic error minimization to compute a structurally simple, geometrically accurate, and compact representation of the MAT. We introduce a new error metric for approximation and a new quantitative characterization of unstable branches of the MAT, and integrate them in an extension of the well-known quadric error metric (QEM) framework for mesh decimation. Q-MAT is fast, removes insignificant unstable branches effectively, and produces a simple and accurate piecewise linear approximation of the MAT. The method is thoroughly validated and compared with existing methods for MAT computation.

Multiway K-Clustered Tensor Approximation: Toward High-Performance Photo-Realistic Data-Driven Rendering

This article presents a generalized sparse multilinear model, namely multiway K-clustered tensor approximation (MK-CTA), for synthesizing photo-realistic 3D images from large-scale multidimensional visual datasets. MK-CTA extends previous tensor approximation algorithms, particularly K-clustered tensor approximation (K-CTA), to partition a multidimensional dataset along more than one dimension into overlapped clusters. MK-CTA therefore can be regarded as a novel sparse tensor-based model that exploits the intra- and inter-cluster coherence simultaneously among different dimensions of an input dataset. Our experiments demonstrate that MK-CTA can accurately and compactly represent various multidimensional visual datasets, including bidirectional texture functions (BTFs), time-varying light fields (TVLFs), and time-varying volume data (TVVD), while easily achieving high rendering rates in practical applications.

Skeletal Joint Modeling in 6-DOF via Unit Dual Quaternion Regression for Hand Model Manipulation

Accurate Spherical Kernel Integrals Using Isotropic Decomposition

Spherical filtering is fundamental to many problems in image synthesis, such as computing the reflected light over a surface or anti-aliasing mirror reflections over a pixel. This operation is challenging since the profile of spherical filters (e.g., the view-evaluated BRDF or the geometry-warped pixel footprint, above) typically exhibits spatial- and rotational-variation at each pixel, precluding precomputed solutions. We accelerate complex spherical filtering tasks using \textit{isotropic spherical decomposition} (ISD), representing spherical filters as a linear combination of simpler \textit{isotropic} kernels. Our general ISD is flexible to the choice of the isotropic kernels, and we demonstrate practical realizations of ISD on several problems in rendering: shading and prefiltering with spatially-varying BRDFs, and anti-aliasing environment mapped mirror reflections. Compared to previous basis-space rendering solutions, ours generates ground truth-quality results at interactive rates, avoiding costly reconstruction and large approximation errors.

Approximate Translational Building Blocks for Image Decomposition and Synthesis

We introduce approximate translational building blocks for unsupervised image parsing. Such building blocks are frequently appearing copies of image patches that are mapped coherently under translations. We exploit the coherency assumption to find approximate building blocks in noisy and ambiguous image data, using a spectral embedding of co-occurrence patterns. We quantitatively evaluate our method on a large benchmark data set and obtain clear improvements over state-of-the-art methods. We apply our method to texture synthesis by integrating building blocks constraints and their offset statistics into a conventional Markov Random Field model. A user study shows improved retargeting results even if the images are only partially described by a few types of building blocks.

Sketching Folds: Developable Surfaces from Non-Planar Silhouettes

Phasor Imaging: A Generalization of Correlation-Based Time-of-Flight Imaging

In correlation-based time-of-flight (C-ToF) imaging systems, light sources with temporally varying intensities illuminate the scene. Due to global illumination, the temporally varying radiance received at the sensor is a combination of light received along multiple paths. Recovering scene properties from the received radiance requires separating these contributions, which is challenging due to the complexity of global illumination and the additional temporal dimension of the radiance. We propose phasor imaging, a framework for performing fast inverse light transport analysis using C-ToF sensors. Phasor imaging is based on the idea that by representing light transport quantities as phasors and light transport events as phasor transformations, light transport analysis can be simplified in the temporal frequency domain. We study the effect of temporal illumination frequencies on light transport, and show that for a broad range of scenes, global radiance vanishes for frequencies higher than a scene-dependent threshold. We use this observation for developing two novel scene recovery techniques. First, we present Micro ToF imaging, a shape recovery technique that is robust to errors due to global illumination. Second, we present a technique for separating the direct and global components of radiance. Both techniques require capturing as few as 3-4 images. We demonstrate the validity of the presented techniques via simulations and real experiments.

Learning to Remove Soft Shadows

Multi-View Intrinsic Images of Outdoors Scenes with an Application to Relighting

SemanticPaint: Interactive 3D Labeling and Learning at your Fingertips

In this paper we present an entirely new approach, where live capture, segmentation, and learning of semantic 3D models can be performed interactively with the human in the loop. Specifically, our work allows novices and experts alike to simultaneously acquire real-time 3D models of the world, segment these models interactively by simply reaching out and touching desired objects and surfaces, and from these segmentations learn to label new unseen parts of the world, all in an online manner. Our work offers a number of unique capabilities beyond prior art. In current systems, capture is often laborious with no feedback as to the quality of the training data acquired, labeling typically requires days of crowd-sourcing, and learning can require hours of training time. Only after this process, are pretrained models ready for test, and any recognition errors will require repetition of some of these time consuming steps. Instead we provide a simple and unified user experience, which provides continuous live feedback of all parts of the pipeline during capture. Users can therefore immediately correct errors in the segmentation and/or learning. This leads to applications that are tailored or personalized specifically to the users environments and object classes of interest.

Bibliometrics

Publication Years 1982-2015
Publication Count 2380
Citation Count 60684
Available for Download 2378
Downloads (6 weeks) 33549
Downloads (12 Months) 364882
Downloads (cumulative) 5067662
Average downloads per article 2131
Average citations per article 25
First Name Last Name Award
Aseem Agarwala Doctoral Dissertation Award (2006)
Narendra Ahuja Fellows (1996)
Kurt B Akeley Fellows (1996)
Ronald M Baecker Fellows (2011)
Chandrajit L. Bajaj Fellows (2009)
Alan H Barr Fellows (1995)
Benjamin B Bederson Distinguished Member (2011)
Kellogg S. Booth Distinguished Member (2009)
Senior Member (2009)
Alan H Borning Fellows (2001)
Achi Brandt SIAM/ACM Prize in Computational Science and Engineering (2005)
Frederick Brooks ACM - IEEE CS Eckert-Mauchly Award (2004)
A. M. Turing Award (1999)
ACM AAAI Allen Newell Award (1994)
Fellows (1994)
Distinguished Service Award (1987)
William A.S. Buxton Fellows (2008)
Stuart K. Card Fellows (2000)
Bernard Chazelle Fellows (1996)
Bing-Yu Chen Senior Member (2011)
Michael F. Cohen Fellows (2007)
Rob Cook Fellows (1999)
Seth Cooper Doctoral Dissertation Award (2011)
Thomas DeFanti Fellows (1994)
Outstanding Contribution to ACM Award (1988)
James Demmel Paris Kanellakis Theory and Practice Award (2014)
Fellows (1999)
David P Dobkin Fellows (1997)
David S Ebert Senior Member (2009)
David Eppstein Fellows (2011)
Irfan A Essa Senior Member (2008)
Daniel Fay Fellows (2007)
Adam Finkelstein Fellows (2014)
James D Foley Fellows (1999)
David Forsyth Fellows (2013)
Henry Fuchs Fellows (1995)
Donald Greenberg Fellows (1995)
Markus Gross Fellows (2012)
Leonidas J Guibas ACM AAAI Allen Newell Award (2007)
Fellows (1999)
Baining Guo Fellows (2011)
Pat Hanrahan Fellows (2008)
David Harel Software System Award (2007)
Fellows (1994)
Karl V. Karlstrom Outstanding Educator Award (1992)
Brian Hebert ACM - Infosys Foundation Award in the Computing Sciences (2007)
Derek Hoiem Doctoral Dissertation Award (2008)
Hugues Hoppe Fellows (2011)
Mark A Horowitz Fellows (2003)
Warren A Hunt Senior Member (2013)
Victoria L Interrante Senior Member (2007)
Takeo Kanade ACM AAAI Allen Newell Award (2010)
Fellows (1999)
Dina Katabi Fellows (2013)
Grace Murray Hopper Award (2012)
Doctoral Dissertation Award (2003)
Donald E Knuth Fellows (1994)
Software System Award (1986)
A. M. Turing Award (1974)
Grace Murray Hopper Award (1971)
Daphne Koller ACM - Infosys Foundation Award in the Computing Sciences (2007)
Marc Levoy Fellows (2007)
Henry M Levy Fellows (1996)
Ming C Lin Fellows (2011)
Dinesh Manocha Fellows (2009)
Michael Mitzenmacher Fellows (2014)
J Nievergelt Fellows (1995)
James F. O'Brien Distinguished Member (2009)
Dan R Olsen Fellows (2006)
Ming Ouhyoung Senior Member (2007)
Franco P Preparata Fellows (1995)
Sandy Ressler Senior Member (2009)
Holly E Rushmeier Distinguished Member (2006)
David H Salesin Fellows (2002)
Hanan Samet Paris Kanellakis Theory and Practice Award (2011)
Fellows (1996)
Micha Sharir Fellows (1997)
Stuart Shieber Fellows (2014)
Ben Shneiderman Fellows (1997)
Jeremy Sugerman Software System Award (2009)
Subhash Suri Fellows (2010)
Distinguished Member (2007)
Ivan Sutherland Fellows (1994)
Software System Award (1993)
A. M. Turing Award (1988)
Richard Szeliski Fellows (2008)
Shang-Hua Teng Fellows (2009)
Demetri Terzopoulos Fellows (2007)
Matthew A Turk Senior Member (2007)
Baba C Vemuri Fellows (2009)
Jeffrey S Vetter Distinguished Member (2012)
Gordon Bell Prize (2010)
Fellows (1996)
Jeffrey S Vitter Distinguished Member (2012)
Gordon Bell Prize (2010)
Fellows (1996)
J Turner Whitted Fellows (1995)
Eugene Zhang Senior Member (2010)
Lixia Zhang Fellows (2006)
Yuanyuan Zhou Fellows (2013)
Distinguished Member (2011)
Denis Zorin Gordon Bell Prize (2010)
Michael J Zyda Senior Member (2009)
Andries van Dam Fellows (1994)
Karl V. Karlstrom Outstanding Educator Award (1993)
Andries van Dam Fellows (1994)
Karl V. Karlstrom Outstanding Educator Award (1993)

First Name Last Name Paper Counts
Daniel Cohen-Or 74
Frédo Durand 59
Baining Guo 57
Hans Seidel 55
Wojciech Matusik 50
Markus Gross 48
Kun Zhou 43
Heungyeung Shum 43
Ravi Ramamoorthi 38
Niloy Mitra 35
Ramesh Raskar 32
Szymon Rusinkiewicz 32
Maneesh Agrawala 30
Doug James 29
Kavita Bala 28
Jessica Hodgins 28
James O'Brien 28
Hugues Hoppe 27
Fabio Pellacini 27
Jovan Popovíc 26
Zoran Popović 26
Mark Pauly 24
Henrik Jensen 24
Eitan Grinspun 24
Pat Hanrahan 23
Peter Wonka 23
Richard Szeliski 22
Leonidas Guibas 22
Dani Lischinski 22
Steve Marschner 22
Mathieu Desbrun 22
Takeo Igarashi 21
Alla Sheffer 21
Hujun Bao 21
Greg Turk 20
Thomas Funkhouser 19
Shree Nayar 19
Ronald Fedkiw 19
Michael Cohen 19
David Salesin 19
Jan Kautz 19
Wojciech Jarosz 19
Hanspeter Pfister 19
Shimin Hu 18
Aseem Agarwala 18
Raanan Fattal 18
Jason Lawrence 18
Vladlen Koltun 18
Adam Finkelstein 18
Yaron Lipman 18
Helmut Pottmann 17
Bernd Bickel 17
Yizhou Yu 17
George Drettakis 17
Oliver Deussen 17
Tientsin Wong 17
Denis Zorin 17
Wolfgang Heidrich 17
Dinesh Pai 16
Derek Nowrouzezahrai 16
Pieter Peers 16
Olga Sorkine 16
Peter Schröder 16
Olga Sorkine-Hornung 15
John Snyder 15
Matthias Zwicker 15
Johannes Kopf 15
Paul Debevec 15
Julie Dorsey 14
Dinesh Manocha 14
Xin Tong 14
Robert Bridson 14
C Liu 14
Brian Curless 14
Michiel Van De Panne 14
Marc Alexa 14
Tobias Ritschel 14
Christian Theobalt 14
Ilya Baran 13
Diego Nehab 13
Marc Levoy 13
Chikeung Tang 13
Andrei Sharf 13
Tomas Akenine-Möller 13
Jian Sun 13
Wilmot Li 13
William Freeman 13
Bruce Walter 13
Stephen Lin 13
Ariel Shamir 13
Donald Greenberg 13
Aaron Hertzmann 12
Jaakko Lehtinen 12
Karol Myszkowski 12
Ming Lin 12
Hao Zhang 12
Carol O'Sullivan 12
Hao Zhang 12
Jinxiang Chai 12
Diego Gutierrez 12
Liyi Wei 12
Craig Gotsman 12
Tao Ju 11
Stelian Coros 11
Weiwei Xu 11
Toshiya Hachisuka 11
Sylvain Lefebvre 11
Tony DeRose 11
Andrew Selle 11
Chris Wojtan 11
Eli Shechtman 11
Douglas Lanman 11
Robert Sumner 11
Tim Weyrich 11
JeHee Lee 11
Bernhard Thomaszewski 11
Shuang Zhao 11
Dan Goldman 11
Adrien Treuille 11
Daniele Panozzo 10
Singbing Kang 10
Derek Bradley 10
Wenping Wang 10
Connelly Barnes 10
Yingqing Xu 10
John Hart 10
Leif Kobbelt 10
Tongyee Lee 10
Johannes Wallner 10
Holly Rushmeier 10
Alexei Efros 10
Jiaping Wang 10
Markus Gross 10
Sylvain Paris 10
Bruno Lévy 10
Adrien Bousseau 10
Yang Liu 10
Yiying Tong 10
François Sillion 10
Rasmus Tamstorf 9
Jiaya Jia 9
Steven Seitz 9
Adam Bargteil 9
Jue Wang 9
Marie Cani 9
Jernej Barbič 9
Joe Warren 9
Baoquan Chen 9
Jin Huang 9
Yue Dong 9
Miguel Otaduy 9
Timo Aila 9
Rui Wang 9
Philip Dutré 9
Pierre Alliez 9
Ladislav Kavan 9
Alexander Hornung 9
Jarek Rossignac 9
Scott Schaefer 9
Nancy Pollard 9
Elmar Eisemann 9
Matthew Fisher 9
Sylvain Paris 9
Hendrik Lensch 9
Kai Xu 8
Charles Loop 8
Chiwing Fu 8
Huamin Wang 8
Michael Goesele 8
Ulrich Pinkall 8
Rahul Narain 8
Eftychios Sifakis 8
Michael Kazhdan 8
Tomoyuki Nishita 8
Long Quan 8
Peter Belhumeur 8
Craig Donner 8
Miloš Hašan 8
Michael Garland 8
Cyril Soler 8
Daniel Aliaga 8
Alec Jacobson 8
Etienne Vouga 8
Wenzel Jakob 8
Hongbo Fu 8
Jaroslav Křivánek 8
Peter Sloan 8
Thabo Beeler 8
Piotr Didyk 8
Ping Tan 8
Kayvon Fatahalian 8
Baoquan Chen 8
Gordon Wetzstein 7
Ravi Ramamoorthi 7
Todd Zickler 7
Pradeep Sen 7
Edward Adelson 7
Ayellet Tal 7
Michael Gleicher 7
Marcus Magnor 7
François Faure 7
Doug Decarlo 7
Mark Horowitz 7
Shinjiro Sueda 7
Peter Shirley 7
Phengann Heng 7
Matthias Hullin 7
Keenan Crane 7
Rafał Mantiuk 7
Minglun Gong 7
John Hughes 7
Matt Uyttendaele 7
Bedřich Beneš 7
Andrew Adams 7
Vladimir Kim 7
Ligang Liu 7
Brian Barsky 7
Demetri Terzopoulos 7
Qiming Hou 7
Kangkang Yin 7
David Forsyth 7
Nathan Carr 7
Paul Beardsley 7
William Mark 7
Jörg Peters 7
Daniel Vlasic 7
Michael Rubinstein 6
Erik Reinhard 6
Okan Arikan 6
David Bommes 6
Matthew Hirsch 6
Valerio Pascucci 6
Felix Heide 6
Max Wardetzky 6
Thorsten Thormählen 6
Mathieu Desbrun 6
Theodore Kim 6
Leonard Mcmillan 6
Eugene Zhang 6
Hao Li 6
Yuting Ye 6
Victor Ostromoukhov 6
Chiewlan Tai 6
Ron Goldman 6
Ivo Ihrke 6
James Ferwerda 6
Kari Pulli 6
Michael Wimmer 6
Chandrajit Bajaj 6
Nuttapong Chentanez 6
Elaine Cohen 6
Marc Stamminger 6
Mirela Ben-Chen 6
David Dobkin 6
Noah Snavely 6
Bart Adams 6
John Owens 6
Pitchaya Sitthi-Amorn 6
Kalyan Sunkavalli 6
Solomon Boulos 6
Maks Ovsjanikov 6
Matthias Nießner 6
Yoshinori Dobashi 6
Petrik Clarberg 6
Zeev Farbman 6
Tim Hawkins 6
Yongjoon Lee 6
Yaser Sheikh 6
Manuel Oliveira 6
Danny Kaufman 6
John Keyser 6
Frank Losasso 6
Hui Huang 6
Anat Levin 6
David Luebke 6
Pedro Sander 6
Robert Sumner 6
Tamy Boubekeur 6
Jonathan Ragan-Kelley 6
Brian Wyvill 6
Xinguo Liu 6
Abhijeet Ghosh 6
Hyeongseok Ko 6
Qixing Huang 6
Sebastian Martin 5
Cem Yuksel 5
Evangelos Kalogerakis 5
Dinesh Manocha 5
Samuli Laine 5
Igor Mordatch 5
Johannes Schmid 5
Carsten Rother 5
Jonathan Shewchuk 5
Matthias Müller 5
Yushuen Wang 5
Klaus Hildebrandt 5
James Tompkin 5
Alec Rivers 5
Thomas Funkhouser 5
Fernando De Goes 5
Ravish Mehra 5
Jack Tumblin 5
John Lewis 5
Ren Ng 5
John Anderson 5
Shimin Hu 5
David Harmon 5
Florence Bertails-Descoubes 5
Marco Tarini 5
Paolo Cignoni 5
Christopher Batty 5
Changxi Zheng 5
Tobias Pfaff 5
Andreas Weber 5
Jonathantyler Moon 5
Naga Govindaraju 5
Joelle Thollot 5
Min Kim 5
Martin Bokeloh 5
Eugene Fiume 5
Olga Sorkine 5
Yotam Gingold 5
Andrew Nealen 5
Shai Avidan 5
Yingge Qu 5
Michael Nielsen 5
Nicolas Holzschuch 5
Mario Botsch 5
Patrick Mullen 5
Nico Pietroni 5
Karan Singh 5
David Levin 5
Christian Schulz 5
Zhong Ren 5
Seungyong Lee 5
Marcel Campen 5
Ken Museth 5
Jianyuan Min 5
Brian Guenter 5
Aleksey Golovinskiy 5
Amit Agrawal 5
Kurt Akeley 5
Joseph Teran 5
Pascal Barla 5
Niloy Mitra 5
Min Tang 5
Ashish Myles 5
Nils Thuerey 5
Boris Neubert 5
Carsten Dachsbacher 5
Jianmin Zheng 5
Oliver Van Kaick 5
Jacob Munkberg 5
Ulf Assarsson 5
Christoph Bregler 5
Sebastian Thrun 5
Ramesh Raskar 5
Ares Lagae 5
Lvdi Wang 5
Dongming Yan 5
Linjie Luo 5
Arno Zinke 5
Emily Whiting 5
Adam Arbree 5
Xin Tong 5
Xiaohan Shi 5
Carsten Dachsbacher 5
Charles Zitnick 5
Ofir Weber 5
Shahram Izadi 5
Nicolas Ray 5
Youngjun Kim 5
Rachel McDonnell 5
Xin Sun 5
Sungeui Yoon 5
Yungyu Chuang 5
Philipp Slusallek 5
Nils Thürey 5
Yongliang Yang 5
Paul Kry 5
Michael Wand 5
Kai Hormann 5
Martin Kilian 5
Christoph Von Tycowicz 5
Changxi Zheng 4
Art Tevs 4
Ariel Shamir 4
Billy Chen 4
Jeongmo Hong 4
Sergey Levine 4
Stephen DiVerdi 4
Steven Drucker 4
Gaël Guennebaud 4
Robert Klassen 4
Mark Meyer 4
Yin Li 4
Belen Masia 4
William Cowan 4
Scott Hudson 4
Yueshan Xiong 4
Jiawen Chen 4
James Hays 4
Leif Kobbelt 4
Aaron Hertzmann 4
Kartic Subr 4
Anton Kaplanyan 4
Lakulish Antani 4
Xi Wang 4
Greg Humphreys 4
Roger Hersch 4
Jay Busch 4
Qionghai Dai 4
Robert Carroll 4
Victor Zordan 4
Nobuyuki Umetani 4
Aljoscha Smolic 4
Moritz Bächer 4
Rodolfo Lima 4
Tianjia Shao 4
Dan Olsen 4
Sunghee Lee 4
Weiwen Feng 4
Sungyong Shin 4
Sofien Bouaziz 4
Ashok Veeraraghavan 4
Greg Ward 4
Makoto Okabe 4
Gladimir Baranoski 4
Tunç Aydın 4
Floraine Berthouzoz 4
Junyong Noh 4
Jason Sewall 4
Saikit Yeung 4
Qixing Huang 4
Claude Knaus 4
Jon Hasselgren, 4
Christopher Twigg 4
Liyi Wei 4
Taipang Wu 4
Kevin Egan 4
Alexander Schiftner 4
Lei Yang 4
Stefan Jeschke 4
Basile Audoly 4
Radomír Měch 4
Jun Mitani 4
Sören Pirk 4
Enrico Puppo 4
Taku Komura 4
Katherine Breeden 4
Chaohui Shen 4
Martin Wicke 4
Robert Cook 4
Thomas Sederberg 4
Ran Gal 4
Bo Sun 4
Graham Fyffe 4
Forrester Cole 4
Charles Han 4
Reinhard Klein 4
Roland Fleming 4
Mingming Cheng 4
Xin Tong 4
Jack Wang 4
Bingyu Chen 4
John Beatty 4
Geoffrey Irving 4
Michael Burns 4
David Cohen-Steiner 4
Ari Rappoport 4
Michael Brown 4
Martin Fuchs 4
Dhruv Mahajan 4
Philippe Beaudoin 4
Ying He 4
Carsten Stoll 4
Karan Singh 4
Aditi Majumder 4
Tamal Dey 4
Frédo Durand 4
James Gregson 4
Rasmus Barringer 4
Gabriel Taubin 4
Neel Joshi 4
Mira Dontcheva 4
Lee Markosian 4
Hao Li 4
Andrew Jones 4
Tiberiu Popa 4
Ralph Martin 4
David Jacobs 4
Vitor Pamplona 4
Peter Kaufmann 4
Soheil Darabi 4
Ken Perlin 4
Iman Sadeghi 4
Srinivasa Narasimhan 4
Jos Stam 4
Simon Heinzle 4
Kevin Wampler 4
Yanyun Chen 4
Behzad Sajadi 3
Lingfeng Yang 3
Jan Novák 3
Leonid Sigal 3
Michael Kass 3
Juyong Zhang 3
Xiaolin Wei 3
Chenglei Wu 3
Alla Safonova 3
Libin Liu 3
C Liu 3
Markus Steinberger 3
Lu Yuan 3
James Blinn 3
Natasha Gelfand 3
Eran Guendelman 3
Lin Shi 3
Jörg Haber 3
Chris Tchou 3
Robert Wang 3
Jian Sun 3
James Mccrae 3
David Jacobs 3
Florian Hecht 3
Shizhe Zhou 3
Michael Holroyd 3
Gordon Wetzstein 3
Anselm Grundhöfer 3
Mariette Yvinec 3
Amy Gooch 3
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