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Computer Graphics at NeurIPS

This is a compilation of computer graphics research (broadly defined) from old (<2005) NeurIPS conferences.

NeurIPS 2004 also had a workshop on Learning in Graphics and Vision which also has many relevant papers.

NeurIPS 1989

Contour-Map Encoding of Shape for Early Vision
Pentti Kanerva

A self-organizing multiple-view representation of 3D objects
Daphna Weinshall, Shimon Edelman, Heinrich Bülthoff

NeurIPS 1991

Illumination and View Position in 3D Visual Recognition
Amnon Shashua

NeurIPS 1993

3D Object Recognition Using Unsupervised Feature Extraction
Nathan Intrator, Joshua Gold, Heinrich Bülthoff, Shimon Edelman

A Network Mechanism for the Determination of Shape-From-Texture
Kô Sakai, Leif Finkel

NeurIPS 1994

Unsupervised Classification of 3D Objects from 2D Views
Satoshi Suzuki, Hiroshi Ando

NeurIPS 1996

3D Object Recognition: A Model of View-Tuned Neurons
Emanuela Bricolo, Tomaso Poggio, Nikos K. Logothetis

NeurIPS 1997

2D Observers for Human 3D Object Recognition?
Zili Liu, Daniel Kersten

NeurIPS 1998

Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape
Karvel Thornber, Lance Williams

Bayesian Model of Surface Perception
William Freeman, Paul Viola

NeurIPS 1999

Bayesian Reconstruction of 3D Human Motion from Single-Camera Video
Nicholas Howe, Michael Leventon, William Freeman

NeurIPS 2000

Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes
Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski

Shape Context: A New Descriptor for Shape Matching and Object Recognition
Serge Belongie, Jitendra Malik, Jan Puzicha

NeurIPS 2002

Recovering Intrinsic Images from a Single Image
Marshall Tappen, William Freeman, Edward Adelson

Shape Recipes: Scene Representations that Refer to the Image
William Freeman, Antonio Torralba

How to Combine Color and Shape Information for 3D Object Recognition: Kernels do the Trick
B. Caputo, Gy. Dorkó

NeurIPS 2003

Learning Non-Rigid 3D Shape from 2D Motion
Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler

Discriminating Deformable Shape Classes
Salvador Ruiz-correa, Linda Shapiro, Marina Meila, Gabriel Berson

NeurIPS 2004

Surface Reconstruction using Learned Shape Models
Jan Solem, Fredrik Kahl

Kernel Methods for Implicit Surface Modeling
Joachim Giesen, Simon Spalinger, Bernhard Schölkopf

The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces
Dragomir Anguelov, Praveen Srinivasan, Hoi-cheung Pang, Daphne Koller, Sebastian Thrun, James Davis

NeurIPS 2005

Scaling Laws in Natural Scenes and the Inference of 3D Shape
Tai-sing Lee, Brian Potetz

A Cortically-Plausible Inverse Problem Solving Method Applied to Recognizing Static and Kinematic 3D Objects
David Arathorn

Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz, Bernhard Schölkopf

Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle, Bernhard Schölkopf