Bounded-Overhead Caching for Definite-Clause Theorem Proving. - Alberto M. Segre; Daniel Scharstein (J. Autom. Reason., 1993)

Matching images by comparing their gradient fields. - Daniel Scharstein (ICPR (1), 1994)

The Rotation Diagram and Optimal Containing Placements of a Convex Polygon. - Matthew Dickerson; Daniel Scharstein (SCG, 1996)

Stereo Vision for View Synthesis. - Daniel Scharstein (CVPR, 1996)

Stereo Matching with Non-Linear Diffusion. - Daniel Scharstein; Richard Szeliski (CVPR, 1996)

View Synthesis Using Sterio Vision. - Daniel Scharstein (1997)

Optimal placement of convex polygons to maximize point containment. - Matthew Dickerson; Daniel Scharstein (Comput. Geom., 1998)

Stereo Matching with Nonlinear Diffusion. - Daniel Scharstein; Richard Szeliski (Int. J. Comput. Vis., 1998)

View Synthesis Using Stereo Vision - Daniel Scharstein (Springer, 1999)

Mobile Robot Navigation using Self-Similar Landmarks. - Amy J. Briggs; Daniel Scharstein; Darius Braziunas; Cristian Dima; Peter Wall (ICRA, 2000)

Real-time recognition of self-similar landmarks. - Daniel Scharstein; Amy J. Briggs (Image Vis. Comput., 2001)

Symmetric Sub-Pixel Stereo Matching. - Richard Szeliski; Daniel Scharstein (ECCV (2), 2002)

A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. - Daniel Scharstein; Richard Szeliski (Int. J. Comput. Vis., 2002)

High-Accuracy Stereo Depth Maps Using Structured Light. - Daniel Scharstein; Richard Szeliski (CVPR (1), 2003)

Expected Shortest Paths for Landmark-Based Robot Navigation. - Amy J. Briggs; Carrick Detweiler; Daniel Scharstein; Alexander Vandenberg-Rodes (Int. J. Robotics Res., 2004)

Sampling the Disparity Space Image. - Richard Szeliski; Daniel Scharstein (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms. - Steven M. Seitz; Brian Curless; James Diebel; Daniel Scharstein; Richard Szeliski (CVPR (1), 2006)

A Comparative Study of Energy Minimization Methods for Markov Random Fields. - Richard Szeliski; Ramin Zabih; Daniel Scharstein; Olga Veksler; Vladimir Kolmogorov; Aseem Agarwala; Marshall F. Tappen; Carsten Rother (ECCV (2), 2006)

Robot Navigation using 1D Panoramic Images. - Amy J. Briggs; Yunpeng Li; Daniel Scharstein; Matt Wilder (ICRA, 2006)

Matching scale-space features in 1D panoramas. - Amy J. Briggs; Carrick Detweiler; Yunpeng Li; Peter C. Mullen; Daniel Scharstein (Comput. Vis. Image Underst., 2006)

Evaluation of Cost Functions for Stereo Matching. - Heiko Hirschmüller; Daniel Scharstein (CVPR, 2007)

Learning Conditional Random Fields for Stereo. - Daniel Scharstein; Chris Pal (CVPR, 2007)

A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors. - Richard Szeliski; Ramin Zabih; Daniel Scharstein; Olga Veksler; Vladimir Kolmogorov; Aseem Agarwala; Marshall F. Tappen; Carsten Rother (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

An Empirical Camera Model for Internet Color Vision. - Ayan Chakrabarti; Daniel Scharstein; Todd E. Zickler (BMVC, 2009)

Evaluation of Stereo Matching Costs on Images with Radiometric Differences. - Heiko Hirschmüller; Daniel Scharstein (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Multiple Plane Detection in Image Pairs Using J-Linkage. - David F. Fouhey; Daniel Scharstein; Amy J. Briggs (ICPR, 2010)

Object stereo - Joint stereo matching and object segmentation. - Michael Bleyer; Carsten Rother; Pushmeet Kohli; Daniel Scharstein; Sudipta N. Sinha (CVPR, 2011)

A Database and Evaluation Methodology for Optical Flow. - Simon Baker; Daniel Scharstein; J. P. Lewis 001; Stefan Roth 001; Michael J. Black; Richard Szeliski (Int. J. Comput. Vis., 2011)

On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference. - Christopher J. Pal; Jerod J. Weinman; Lam C. Tran; Daniel Scharstein (Int. J. Comput. Vis., 2012)

Image-based rendering for scenes with reflections. - Sudipta N. Sinha; Johannes Kopf 001; Michael Goesele; Daniel Scharstein; Richard Szeliski (ACM Trans. Graph., 2012)

Image-based rendering in the gradient domain. - Johannes Kopf 001; Fabian Langguth; Daniel Scharstein; Richard Szeliski; Michael Goesele (ACM Trans. Graph., 2013)

A TV Prior for High-Quality Local Multi-view Stereo Reconstruction. - Andreas Kuhn 002; Helmut Mayer 001; Heiko Hirschmüller; Daniel Scharstein (3DV, 2014)

Efficient High-Resolution Stereo Matching Using Local Plane Sweeps. - Sudipta Narayan Sinha; Daniel Scharstein; Richard Szeliski (CVPR, 2014)

High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth. - Daniel Scharstein; Heiko Hirschmüller; York Kitajima; Greg Krathwohl; Nera Nesic; Xi Wang; Porter Westling (GCPR, 2014)

Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. - Ayan Chakrabarti; Ying Xiong; Baochen Sun; Trevor Darrell; Daniel Scharstein; Todd E. Zickler; Kate Saenko (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Semi-global Stereo Matching with Surface Orientation Priors. - Daniel Scharstein; Tatsunori Taniai; Sudipta N. Sinha (3DV, 2017)

Mondrian stereo. - Dylan Quenneville; Daniel Scharstein (ICIP, 2017)

A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. - Andreas Kuhn 002; Heiko Hirschmüller; Daniel Scharstein; Helmut Mayer 001 (Int. J. Comput. Vis., 2017)

Multi-frame stereo matching with edges, planes, and superpixels. - Tianfan Xue; Andrew Owens; Daniel Scharstein; Michael Goesele; Richard Szeliski (Image Vis. Comput., 2019)

Guest Editorial: Special Issue on Performance Evaluation in Computer Vision. - Daniel Scharstein; Angela Dai; Daniel Kondermann; Torsten Sattler; Konrad Schindler (Int. J. Comput. Vis., 2021)

Capturing and Inferring Dense Full-Body Human-Scene Contact. - Chun-Hao P. Huang; Hongwei Yi; Markus Höschle; Matvey Safroshkin; Tsvetelina Alexiadis; Senya Polikovsky; Daniel Scharstein; Michael J. Black (CVPR, 2022)

A Practical Stereo Depth System for Smart Glasses. - Jialiang Wang; Daniel Scharstein; Akash Bapat; Kevin Blackburn-Matzen; Matthew Yu; Jonathan Lehman; Suhib Alsisan; Yanghan Wang; Sam S. Tsai; Jan-Michael Frahm; Zijian He; Peter Vajda; et al. (CVPR, 2023)