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