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The diffractive achromat full spectrum computational imaging with diffractive optics

Diffractive optical elements (DOEs) have recently drawn great attention in computational imaging because they can drastically reduce the size and... (more)

Practical multispectral lighting reproduction

We present a practical framework for reproducing omnidirectional incident illumination conditions with complex spectra using a light stage with multispectral LED lights. For lighting acquisition, we augment standard RGB panoramic photography with one or more observations of a color chart with numerous reflectance spectra. We then solve for how to... (more)

Computational imaging with multi-camera time-of-flight systems

Depth cameras are a ubiquitous technology used in a wide range of applications, including robotic and machine vision, human-computer interaction,... (more)

Example-based plastic deformation of rigid bodies

Physics-based animation is often used to animate scenes containing destruction of near-rigid, man-made materials. For these applications, the most... (more)

Pose-space subspace dynamics

We enrich character animations with secondary soft-tissue Finite Element Method (FEM) dynamics computed under arbitrary rigged or skeletal motion. Our method optionally incorporates pose-space deformation (PSD). It runs at milliseconds per frame for complex characters, and fits directly into standard character animation pipelines. Our simulation... (more)

Efficient dynamic skinning with low-rank helper bone controllers

Dynamic skin deformation is vital for creating life-like characters, and its real-time computation is in great demand in interactive applications. We... (more)

Real-time skeletal skinning with optimized centers of rotation

Skinning algorithms that work across a broad range of character designs and poses are crucial to creating compelling animations. Currently, linear... (more)

Erosion thickness on medial axes of 3D shapes

While playing a fundamental role in shape understanding, the medial axis is known to be sensitive to small boundary perturbations. Methods for pruning the medial axis are usually guided by some measure of significance. The majority of significance measures over the medial axes of 3D shapes are locally defined and hence unable to capture the scale... (more)

Mesh arrangements for solid geometry

Many high-level geometry processing tasks rely on low-level constructive solid geometry operations. Though trivial for implicit representations, boolean operations are notoriously difficult to execute robustly for explicit boundary representations. Existing methods for 3D triangle meshes fall short in one way or another. Some methods are fast but... (more)

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About TOG

ACM TOG is the foremost peer-reviewed journal in the area of computer graphics. 

Recent impact factor calculations from Thomson Reuters give ACM TOG an impact factor of 4.096 and an Eigenfactor Score of 0.029, giving it the top ranking among the 104 journals in the Computer Science: Software Engineering category. 

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Forthcoming Articles
Interpolations of Smoke and Liquid Simulations

We present a novel method to interpolate smoke and liquid simulations. Our approach calculates a dense space-time deformation using grid-based signed-distance functions of the inputs. A key advantage of this implicit Eulerian representation is that it allows us to use powerful techniques from the optical flow area. In combination with novel multi-stage and surface projection algorithms, we achieve a very robust matching of the inputs. Once the match is computed, we can create arbitrary in-between variants very efficiently. We will demonstrate the numerous advantages of our approach with complex example flows. Among others, these advantages include volumetric deformations that can be applied to details around the surface, automatic matches without any user input, and the inherent handling of topology changes. As a result, we can interpolate swirling smoke clouds, and a whole array of liquid simulations. We can even match and interpolate phenomena with fundamentally different physics: a drop of liquid, and a blob of heavy smoke.

A Compressed Representation for Ray Tracing Parametric Surfaces

Parametric surfaces are an essential modeling tool in computer aided design and movie production. Even though their use is well established in industry, generating ray-traced images adds significant cost in time and memory consumption. Ray tracing such surfaces is usually accomplished by subdividing the surfaces on-the-fly, or by conversion to polygonal representations. However, on-the-fly subdivision is computationally very expensive, whereas polygonal meshes require large amounts of memory. This is a particular problem for parametric surfaces with displacement, where very fine tessellation is required to faithfully represent the shape. Hence, memory restrictions are the major challenge in production rendering. In this paper, we present a novel solution to this problem. We propose a compression scheme for BVHs on parametric patches, that significantly reduces data requirements for hierarchies. We further propose an approximate evaluation method that does not require leaf geometry, yielding an overall reduction of memory consumption by a factor of 60 over regular BVHs on indexed face sets and by a factor of 16 over established state-of-the-art compression schemes. Alternatively, our compression can simply be applied to a standard BVH while keeping the leaf geometry, resulting in a compression rate of up to 2:1 over current methods.

Interactive Sound Propagation and Rendering for Large Multi-Source Scenes

We present an approach to generate plausible acoustic effects at interactive rates in large dynamic environments containing many sound sources. Our formulation combines sound source clustering, listener-based backward ray tracing, and hybrid audio rendering to handle complex scenes. We present a new algorithm for perceptually clustering distant sound sources and for computing dynamic late reverberation based on high-order reflections. We also describe a hybrid convolution-based audio rendering technique that can process hundreds of thousands of sound paths at interactive rates. We demonstrate the performance on many indoor and outdoor scenes with tens or hundreds of sources. In practice, our algorithm can compute 50 orders of specular or diffuse reflections at interactive rates on a multi-core PC, and we observe more than an order of magnitude improvement.

EyeOpener: Editing Eyes in the Wild

Closed eyes and look-aways in photographs often ruin precious captured moments. In this paper, we present a novel framework for eye-editing in photographs, in a fully automatic way. We leverage on a user's personal photo collection to find a ``good'' set of reference eyes, and transfer them onto the target image. Our example-based editing approach is robust and reliable for realistic image editing. A fully automatic pipeline for realistic eye-editing is challenging due to the unconstrained conditions under which the face appears in a typical photo collection. We use crowdsourcing to learn from human evaluations - what aspects of the target--reference image pair will produce realistic results. We subsequently train a model that automatically selects the best reference candidate(s) by narrowing the gap in terms of pose, local contrast, lighting conditions and even expressions. Finally, we develop a comprehensive pipeline of 3D face estimation, image warping, relighting, image harmonization, automatic segmentation and image compositing to achieve highly believable results. We evaluate the performance of our method via quantitative and crowd-sourced experiments.

Integration with Stochastic Point Processes

We present a new approach for analyzing error in integral estimation with point distributions based on point process statistics. We derive exact formulae for bias and variance of integral estimates in terms of the spatial or spectral characteristics of integrands, and first and second order product density measures of point patterns. The formulae allow us to study and design sampling schemes adapted to different classes of integrands by analyzing the effect of sampling density, weighting, and correlations among point locations separately. We then focus on non-adaptive correlated stratified sampling patterns and specialize the formulae to derive closed-form and easy-to-analyze expressions of bias and variance for various stratified sampling strategies. Based on these expressions, we perform a theoretical error analysis for integrands involving the discontinuous visibility function. We show that significant reductions in error can be obtained by considering alternative sampling strategies instead of the commonly used random jittering or low discrepancy patterns. The theoretical results agree with and extend various previous results. We validate them with extensive experiments on benchmark integrands as well as real scenes with soft shadows.

A Non-Parametric Factor Microfacet Model for Isotropic BRDFs

We investigate the expressiveness of the microfacet model for isotropic BRDFs measured from real materials. To do this, we introduce a non- parametric factor model that exploits the models functional structure but abandons restricted parametric formulations of its factors. We propose a new objective based on compressive weighting that controls rendering er- ror in high dynamic range BRDF fits better than previous factorization ap- proaches. We develop a simple numerical procedure to minimize this ob- jective and handle dependencies that arise between microfacet factors. Our method faithfully captures a more comprehensive set of materials than pre- vious parametric approaches, yet remains compact (3.2KB per BRDF). We compare several non-parametric formulations and experimentally validate the power of the microfacet model over a naive orthogonal factorization, and the greater fidelity that results from fitting an unrestricted shadow- ing/masking factor. We also compare against a recent data-driven factor- ization approach [Bilgili et al. 2011] and show that our microfacet-based representation improves rendering accuracy for most materials while re- ducing storage by more than a factor of 10.

A Spatial Target Function for Metropolis Photon Tracing

The human visual system is sensitive to relative differences in luminance but light transport simulation algorithms based on Metropolis sampling often result in a highly non-uniform relative error distribution over the rendered image. We present a new target function for Metropolis photon tracing that ensures good stratification of photons leading to pixel estimates with equalized relative error. We develop a hierarchical scheme for progressive construction of the target function from paths sampled during rendering. As opposed to previous work that only defined a target function in the image plane, ours can be associated with spatial regions. This allows us to take advantage of illumination coherence to receive robust estimates of the target function while adapting to geometry discontinuities. To sample from this target function, we design a new replica exchange Metropolis scheme. We apply our algorithm in progressive photon mapping and show that it often outperforms alternative approaches in terms of image quality by a large margin.

Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling

Effectively characterizing the behavior of deformable objects has wide applicability but remains challenging.We present a new rotation invariant deformation representation and a novel reconstruction algorithm to accurately reconstruct the positions and local rotations simultaneously. Meshes can be very efficiently reconstructed from our representation by matrix pre-decomposition, while at the same time, hard or soft constraints can be flexibly specified with only positions of handles needed. Our representation is thus particularly suitable for representing constrained deformations guided by examples, providing significant benefits over state-of-the-art representations. Based on this, we further propose novel data-driven approaches to mesh deformation and non-rigid registration of deformable objects. Both problems are formulated consistently as finding an optimized model in the shape space that satisfies boundary constraints, either specified by the user, or according to the scan. By effectively exploiting the knowledge in the shape space, our method produces realistic deformation results in real-time and produces high quality registrations from a template model to a single noisy scan captured using a low-quality depth camera, outperforming state-of-the-art methods.

Example-based Sketch Segmentation and Labeling using CRFs

We introduce a new approach for segmentation and label transfer in sketches that substantially improves over state-of-art. We build on successful techniques to find how likely each segment is to belong to a label, and use a Conditional Random Field to find the most probable global configuration. Our method is trained fully on the sketch domain, such that it can handle abstract sketches that are very far from 3d meshes. It also requires a small quantity of annotated data, which makes it easily adaptable to new datasets. The testing phase is completely automatic, and our performance is comparable to state-of-art methods that require manual tuning and a considerable amount of previous annotation.

A Probabilistic Model for Exteriors of Residential Buildings

We propose a new framework to model the exterior of residential buildings. The main goal of our work is to design a model that can be learned from data that is observable from the outside of a building and that can be trained with widely available data such as aerial images and street view images. First, we propose a parametric model to describe the exterior of a building (with a varying number of parameters) and propose a set of attributes as a building representation with fixed dimensionality. Second, we propose a hierarchical graphical model with hidden variables to encode the relationships between building attributes and derive the technical details how this graphical model can be learned from data. Third, we provide optimization algorithms to generate three-dimensional models based on building attributes sampled from the graphical model. Finally, we demonstrate how our framework is suitable for synthesizing new building models and for completing partially observed building models from photographs.

Image Perforation: Automatically Accelerating Image Pipelines by Intelligently Skipping Samples

Image pipelines arise frequently in modern computational photography systems and consist of multiple processing stages where each stage produces an intermediate image that serves as input to a future stage. Inspired by recent work on loop perforation [Sidiroglou-Douskos et al. 2011], this paper introduces image perforation, a new optimization technique that allows automatically exploring the space of performance-accuracy trade-offs within an image pipeline. Image perforation works by transforming loops over the image at each pipeline stage into coarser loops that effectively "skip" certain samples. These missing samples are reconstructed for later stages using a number of different interpolation strategies that are relatively inexpensive to perform compared to the original cost of computing the sample. We describe a genetic algorithm for automatically exploring the resulting combinatoric search space of which loops to perforate, in what manner, by how much, and using what reconstruction method. We also present a prototype language that implements image perforation along with several other domain-specific optimizations and show results for a number of different image pipelines and inputs. For these cases, image perforation achieves speedups of 2x-10x with acceptable loss in visual quality and significantly outperforms loop perforation.

Interactive High-Quality Green-Screen Keying via Color Unmixing

Due to the widespread use of compositing in contemporary feature films, green-screen keying has become an essential part of post-production workflows. To comply with the ever-increasing quality requirements of the industry, specialized compositing artists spend countless hours using multiple commercial software tools, while eventually having to resort to manual painting because of the many shortcomings of these tools. Due to the sheer amount of manual labor involved in the process, new green-screen keying approaches that produce better keying results with less user interaction are welcome additions to the compositing artist's arsenal. We found that --- contrary to the common belief in the research community --- production-quality green-screen keying is still an unresolved problem with its unique challenges. In this paper, we propose a novel green-screen keying method utilizing a new energy-minimization based color unmixing algorithm. We present comprehensive comparisons with commercial software packages and relevant methods in literature, which show that the quality of our results is superior to any other currently available green-screen keying solution. Importantly, we also show that using our method these high-quality results can be generated using only one-tenth of the manual editing time that a professional compositing artist requires to process the same content having all previous state-of-the-art tools at his disposal.

Bibliometrics

Publication Years 1982-2016
Publication Count 2747
Citation Count 72593
Available for Download 2745
Downloads (6 weeks) 33379
Downloads (12 Months) 310898
Downloads (cumulative) 3108968
Average downloads per article 1133
Average citations per article 26
First Name Last Name Award
Aseem Agarwala ACM Doctoral Dissertation Award
Honorable Mention (2006) ACM Doctoral Dissertation Award
Honorable Mention (2006)
Benjamin B Bederson ACM Distinguished Member (2011)
Kellogg S. Booth ACM Distinguished Member (2009)
ACM Senior Member (2009)
Ronan Boulic ACM Senior Member (2006)
Achi Brandt SIAM/ACM Prize in Computational Science and Engineering (2005)
Frederick Brooks ACM-IEEE CS Eckert-Mauchly Award (2004)
ACM A. M. Turing Award (1999)
ACM AAAI Allen Newell Award (1994)
ACM Distinguished Service Award (1987)
Bing-Yu Chen ACM Senior Member (2011)
Seth Cooper ACM Doctoral Dissertation Award (2011)
Thomas DeFanti Outstanding Contribution to ACM Award (1988)
James Demmel ACM Paris Kanellakis Theory and Practice Award (2014)
David S Ebert ACM Senior Member (2009)
Irfan A Essa ACM Senior Member (2008)
Leonidas J Guibas ACM AAAI Allen Newell Award (2007)
David Harel ACM Software System Award (2007)
ACM Karl V. Karlstrom Outstanding Educator Award (1992)
Aaron Hertzmann ACM Distinguished Member (2015)
Derek Hoiem ACM Doctoral Dissertation Award
Honorable Mention (2008) ACM Doctoral Dissertation Award
Honorable Mention (2008)
Hui Huang ACM Senior Member (2016)
Warren A. Hunt ACM Distinguished Member (2015)
ACM Senior Member (2013)
Victoria L Interrante ACM Senior Member (2007)
Takeo Kanade ACM AAAI Allen Newell Award (2010)
Dina Katabi ACM Grace Murray Hopper Award (2012)
ACM Doctoral Dissertation Award
Honorable Mention (2003)
Donald E Knuth ACM Software System Award (1986)
ACM A. M. Turing Award (1974)
ACM Grace Murray Hopper Award (1971)
Daphne Koller ACM-Infosys Foundation Award in the Computing Sciences (2007)
James F. O'Brien ACM Distinguished Member (2009)
Ming Ouhyoung ACM Senior Member (2007)
Ravi Ramamoorthi ACM Distinguished Member (2015)
Sandy Ressler ACM Senior Member (2009)
Jarek Rossignac ACM Senior Member (2013)
Holly E Rushmeier ACM Distinguished Member (2006)
Hanan Samet ACM Paris Kanellakis Theory and Practice Award (2011)
Jeremy Sugerman ACM Software System Award (2009)
Subhash Suri ACM Distinguished Member (2007)
Ivan Sutherland ACM Software System Award (1993)
ACM A. M. Turing Award (1988)
Matthew A Turk ACM Senior Member (2007)
Jeffrey S Vetter ACM Distinguished Member (2012)
ACM Gordon Bell Prize
Performance (2010)
Eugene Zhang ACM Senior Member (2010)
Yuanyuan Zhou ACM Distinguished Member (2011)
Denis Zorin ACM Gordon Bell Prize
Performance (2010) ACM Gordon Bell Prize
Performance (2010)
Michael J Zyda ACM Senior Member (2009)
Andries van Dam ACM Karl V. Karlstrom Outstanding Educator Award (1993)

First Name Last Name Paper Counts
Daniel Cohen-Or 81
Frédo Durand 70
Baining Guo 61
Wojciech Matusik 61
Hans Seidel 58
Markus Gross 57
Kun Zhou 51
Ravi Ramamoorthi 43
Heungyeung Shum 43
Niloy Mitra 41
Ramesh Raskar 34
Szymon Rusinkiewicz 32
Jessica Hodgins 32
Kavita Bala 31
Pat Hanrahan 30
Hugues Hoppe 30
Eitan Grinspun 30
Doug James 30
Maneesh Agrawala 30
Fabio Pellacini 30
James O'Brien 29
Mathieu Desbrun 29
Alla Sheffer 28
Peter Wonka 28
Steve Marschner 28
Mark Pauly 27
Jovan Popovíc 27
Hujun Bao 26
Henrik Jensen 26
Zoran Popović 26
Leonidas Guibas 25
Takeo Igarashi 24
Dani Lischinski 24
Yaron Lipman 23
Hanspeter Pfister 23
Shimin Hu 22
Olga Sorkine-Hornung 22
Bernd Bickel 22
Richard Szeliski 22
Greg Turk 21
Wolfgang Heidrich 21
Denis Zorin 21
Adam Finkelstein 21
Shree Nayar 20
Ronald Fedkiw 20
Michael Cohen 20
Tientsin Wong 20
Wojciech Jarosz 20
Helmut Pottmann 19
Thomas Funkhouser 19
Oliver Deussen 19
Peter Schröder 19
Michiel Van De Panne 19
Vladlen Koltun 19
Liyi Wei 19
David Salesin 19
Jan Kautz 19
Raanan Fattal 18
Aseem Agarwala 18
Derek Nowrouzezahrai 18
Yizhou Yu 18
Jason Lawrence 18
Hao Zhang 18
George Drettakis 18
Wilmot Li 18
Dinesh Pai 17
Pieter Peers 17
Robert Bridson 17
Matthias Zwicker 17
Chris Wojtan 17
Paul Debevec 17
Stelian Coros 16
Jaakko Lehtinen 16
Julie Dorsey 16
C Liu 16
Olga Sorkine 16
William Freeman 16
Bernhard Thomaszewski 16
Christian Theobalt 16
Daniele Panozzo 15
Sylvain Lefebvre 15
Karol Myszkowski 15
Jinxiang Chai 15
John Snyder 15
Johannes Kopf 15
Ariel Shamir 15
Dinesh Manocha 14
Xin Tong 14
Leif Kobbelt 14
Brian Curless 14
Andrei Sharf 14
Eli Shechtman 14
Diego Gutierrez 14
Tomas Akenine-Möller 14
Marc Alexa 14
Stephen Lin 14
Bruce Walter 14
Tobias Ritschel 14
Sylvain Paris 14
Adrien Bousseau 14
Tao Ju 13
Ilya Baran 13
Diego Nehab 13
Weiwei Xu 13
Marie Cani 13
Jernej Barbič 13
Tony DeRose 13
Marc Levoy 13
Chikeung Tang 13
Carol O'Sullivan 13
Alec Jacobson 13
Jian Sun 13
Matthias Nießner 13
Yang Liu 13
Shuang Zhao 13
Baoquan Chen 13
Donald Greenberg 13
Gordon Wetzstein 12
Aaron Hertzmann 12
Huamin Wang 12
Andrew Selle 12
Wenping Wang 12
Ming Lin 12
Hao Zhang 12
Jin Huang 12
Bedřich Beneš 12
Holly Rushmeier 12
Tim Weyrich 12
Craig Gotsman 12
Alexander Hornung 12
Changxi Zheng 12
Ladislav Kavan 12
Bruno Lévy 12
Thabo Beeler 12
Jehee Lee 12
Piotr Didyk 12
Matthew Fisher 12
Dan Goldman 12
Ulrich Pinkall 11
Toshiya Hachisuka 11
Shinjiro Sueda 11
Connelly Barnes 11
Yue Dong 11
Johannes Wallner 11
Etienne Vouga 11
Douglas Lanman 11
Robert Sumner 11
Hui Huang 11
Jonathan Ragan-Kelley 11
Kayvon Fatahalian 11
Adrien Treuille 11
Steven Seitz 10
Jiaya Jia 10
Rasmus Tamstorf 10
Kai Xu 10
Felix Heide 10
Eftychios Sifakis 10
Derek Bradley 10
Singbing Kang 10
Adam Bargteil 10
Matthias Hullin 10
Marco Tarini 10
Marc Stamminger 10
Tongyee Lee 10
John Hart 10
Yingqing Xu 10
Daniel Aliaga 10
Miguel Otaduy 10
Jiaping Wang 10
Timo Aila 10
Alexei Efros 10
Wenzel Jakob 10
Markus Gross 10
Pierre Alliez 10
KangKang Yin 10
Scott Schaefer 10
Yiying Tong 10
François Sillion 10
Elmar Eisemann 10
Baoquan Chen 9
Joe Warren 9
Kalyan Sunkavalli 9
Philip Dutré 9
Rui Wang 9
Jaroslav Křivánek 9
Nancy Pollard 9
Jarek Rossignac 9
Danny Kaufman 9
Nathan Carr 9
Hendrik Lensch 9
Shahram Izadi 9
Ofir Weber 9
Sylvain Paris 9
Rahul Narain 9
Michael Kazhdan 9
Jue Wang 9
Keenan Crane 9
Fernando De Goes 9
Rafał Mantiuk 9
Phengann Heng 9
Minglun Gong 9
Christopher Batty 9
Todd Zickler 8
Michael Zollhöfer 8
Charles Loop 8
Chiwing Fu 8
Marcus Magnor 8
Michael Gleicher 8
Pradeep Sen 8
David Bommes 8
Edward Adelson 8
Michael Goesele 8
François Faure 8
Long Quan 8
Tomoyuki Nishita 8
Peter Belhumeur 8
Mark Horowitz 8
Nuttapong Chentanez 8
Matt Uyttendaele 8
Michael Wimmer 8
Michael Garland 8
James Tompkin 8
Craig Donner 8
Cyril Soler 8
Miloš Hašan 8
Vladimir Kim 8
Andrew Adams 8
Karan Singh 8
Qiming Hou 8
Hongbo Fu 8
Peter Sloan 8
Xin Tong 8
Oliver Van Kaick 8
Nils Thuerey 8
Carsten Dachsbacher 8
Ping Tan 8
Nicolas Ray 7
Michael Rubinstein 7
Linjie Luo 7
Ravi Ramamoorthi 7
Theodore Kim 7
Ayellet Tal 7
Matthias Müller 7
Victor Ostromoukhov 7
Doug DeCarlo 7
Peter Shirley 7
John Hughes 7
Pitchaya Sitthi-amorn 7
John Owens 7
Floraine Berthouzoz 7
Ligang Liu 7
Nico Pietroni 7
Yoshinori Dobashi 7
Yotam Gingold 7
Demetri Terzopoulos 7
Maks Ovsjanikov 7
Brian Barsky 7
Joseph Teran 7
Marcel Campen 7
David Forsyth 7
Manuel Oliveira 7
Robert Sumner 7
Hao Li 7
Abhijeet Ghosh 7
Pascal Barla 7
Daniel Vlasic 7
Tamy Boubekeur 7
Jörg Peters 7
William Mark 7
Paul Beardsley 7
Noam Aigerman 6
Gilbert Bernstein 6
Emily Whiting 6
Okan Arikan 6
Erik Reinhard 6
Dongming Yan 6
Sungeui Yoon 6
Rachel McDonnell 6
Thorsten Thormählen 6
Max Wardetzky 6
Eugene Zhang 6
Leonard McMillan 6
Valerio Pascucci 6
Matthew Hirsch 6
Yongliang Yang 6
Evangelos Kalogerakis 6
Roger Hersch 6
David Levin 6
Ivo Ihrke 6
Chiewlan Tai 6
James Ferwerda 6
Kari Pulli 6
Hao Li 6
Yuting Ye 6
Ron Goldman 6
Thomas Funkhouser 6
Sofien Bouaziz 6
Yonghao Yue 6
Tianjia Shao 6
Elaine Cohen 6
John Lewis 6
Florence Bertails-Descoubes 6
Chandrajit Bajaj 6
Justin Solomon 6
Saikit Yeung 6
David Dobkin 6
Bart Adams 6
Noah Snavely 6
Solomon Boulos 6
Mirela Ben Chen 6
Junyong Noh 6
Enrico Puppo 6
Zeev Farbman 6
Andrew Nealen 6
Mario Botsch 6
Petrik Clarberg 6
Tim Hawkins 6
Yongjoon Lee 6
Eugene Fiume 6
Yaser Sheikh 6
Kurt Akeley 6
Ariel Shamir 6
Anat Levin 6
John Keyser 6
Frank Losasso 6
David Luebke 6
Pedro Sander 6
Boris Neubert 6
Xinguo Liu 6
Hyeongseok Ko 6
Brian Wyvill 6
Qixing Huang 6
Charles Zitnick 5
Oliver Wang 5
Michael Black 5
Miika Aittala 5
Stephen DiVerdi 5
Martin Kilian 5
Xin Sun 5
Nils Thürey 5
Nicolas Bonneel 5
Philipp Slusallek 5
Yungyu Chuang 5
Gaël Guennebaud 5
Yanlin Weng 5
Paul Kry 5
Michael Wand 5
Aaron Hertzmann 5
Derek Bradley 5
Cem Yuksel 5
Carsten Rother 5
Samuli Laine 5
Jonathan Shewchuk 5
Johannes Schmid 5
James Hays 5
Ulf Assarsson 5
Yushuen Wang 5
Sebastian Martin 5
Dinesh Manocha 5
Igor Mordatch 5
Jay Busch 5
Greg Ward 5
Makoto Okabe 5
Nicholas Vining 5
Nobuyuki Umetani 5
Moritz Bächer 5
John Anderson 5
David Harmon 5
Manolis Savva 5
Ren Ng 5
Jack Tumblin 5
Alec Rivers 5
Ravish Mehra 5
Klaus Hildebrandt 5
Paolo Cignoni 5
Shimin Hu 5
Craig Schroeder 5
Chongyang Ma 5
Joelle Thollot 5
Andreas Weber 5
Jonathantyler Moon 5
Jon Hasselgren, 5
Christoph Von Tycowicz 5
Naga Govindaraju 5
Tobias Pfaff 5
Changxi Zheng 5
Ibraheem Alhashim 5
Daniel Sýkora 5
Stefan Jeschke 5
Graham Fyffe 5
Shai Avidan 5
David Levin 5
Thomas Sederberg 5
Yingge Qu 5
Reinhard Klein 5
Tim Foley 5
Lingqi Yan 5
Nicolas Holzschuch 5
Shiqing Xin 5
Patrick Mullen 5
Min Kim 5
Martin Bokeloh 5
Taku Komura 5
Olga Sorkine 5
Michael Nielsen 5
Ligang Liu 5
David Cohen-Steiner 5
Honghua Li 5
Amit Agrawal 5
Aleksey Golovinskiy 5
Zhong Ren 5
Ying He 5
Bingyu Chen 5
Roland Fleming 5
Seungyong Lee 5
Brian Guenter 5
Mingming Cheng 5
Christian Schulz 5
Ken Museth 5
Jianyuan Min 5
Amir Vaxman 5
Gabriel Brostow 5
Libin Liu 5
Sebastian Thrun 5
Gabriel Taubin 5
Andrew Jones 5
James Gregson 5
Niloy Mitra 5
Min Tang 5
Ashish Myles 5
Jianmin Zheng 5
Jacob Munkberg 5
Ralph Martin 5
Srinivasa Narasimhan 5
Yiying Tong 5
Ruizhen Hu 5
Christian Theobalt 5
Xiaohan Shi 5
Arno Zinke 5
Menglei Chai 5
Xin Tong 5
Adam Arbree 5
Youngjun Kim 5
Carsten Dachsbacher 5
Ramesh Raskar 5
Ares Lagae 5
Lvdi Wang 5
Mira Dontcheva 4
Anselm Grundhöfer 4
Eugene D'Eon 4
Robert Carroll 4
Qionghai Dai 4
Xueming Yu 4
Kiriakos Kutulakos 4
Jeremie Dumas 4
Michael Schwarz 4
Naureen Mahmood 4
Kenshi Takayama 4
Bochang Moon 4
Ashok Veeraraghavan 4
Weiwen Feng 4
Sunghee Lee 4
Ronen Basri 4
Li Xu 4
Levi Valgaerts 4
Adrian Jarabo 4
Antonio Criminisi 4
Manfred Lau 4
Aljoscha Smolic 4
Rodolfo Lima 4
Binhhuy Le 4
Sungyong Shin 4
Milos Hasan 4
Dan Olsen 4
Yeongho Seol 4
Gilles Daviet 4
Uri Ascher 4
Rémi Ronfard 4
Tunç Aydın 4
Edilson De Aguiar 4
Alexander Schiftner 4
Leonid Sigal 4
Christopher Twigg 4
Rui Wang 4
Yin Li 4
Jiawen Chen 4
Mark Meyer 4
Yueshan Xiong 4
Belen Masia 4
Sergey Levine 4
Wenping Wang 4
Soham Mehta 4
Steven Drucker 4
Robert Klassen 4
Kai Hormann 4
Scott Hudson 4
William Cowan 4
Adrian Butscher 4
Bin Wang 4
Paul Asente 4
Paul Guerrero 4
Lapfai Yu 4
Anjul Patney 4
Chen Cao 4
Nikunj Raghuvanshi 4
James McCann 4
Greg Humphreys 4
Xi Wang 4
Victor Zordan 4
Kartic Subr 4
Wolfgang Heidrich 4
Leif Kobbelt 4
Anton Kaplanyan 4
Lakulish Antani 4
Martin Wicke 4
Oliver Bimber 4
James Hegarty 4
Ran Gal 4
Akash Garg 4
Matthew O'Toole 4
Pascal Müller 4
Siddhartha Chaudhuri 4
Martin Fuchs 4
Michael Burns 4
Philippe Beaudoin 4
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Lin Lu 4
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Lee Markosian 4
Karan Singh 4
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C Liu 4
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Zhili Chen 4
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Lei Yang 4
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Feng Sun 3
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Hengchin Yeh 3
Hongzhi Wu 3
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Hao Pan 3
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Niels