Daniel Scharstein

50 papers A* 12A 1B 2C 1Journal 23Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ego-1K - A Large-Scale Multiview Video Dataset for Egocentric Vision.
CoRR
Jae Yong Lee, Daniel Scharstein, Akash Bapat, Hao Hu, Andrew Fu, Haoru Zhao, Paul Sammut, Xiang Li, Stephen Jeapes, Anik Gupta, Lior David, Saketh Madhuvarasu, Jay Girish Joshi, Jason Wither
2023 A* conf
A Practical Stereo Depth System for Smart Glasses.
CVPR
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, Michael F. Cohen, Matt Uyttendaele
2022 J jnl
A Practical Stereo Depth System for Smart Glasses.
CoRR
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, Michael F. Cohen, Matt Uyttendaele
2022 A* conf
Capturing and Inferring Dense Full-Body Human-Scene Contact.
CVPR
Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, Michael J. Black
2022 J jnl
Capturing and Inferring Dense Full-Body Human-Scene Contact.
CoRR
Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, Michael J. Black
2021 J jnl
Guest Editorial: Special Issue on Performance Evaluation in Computer Vision.
Int. J. Comput. Vis.
Daniel Scharstein, Angela Dai, Daniel Kondermann, Torsten Sattler, Konrad Schindler
2019 J jnl
Multi-frame stereo matching with edges, planes, and superpixels.
Image Vis. Comput.
Tianfan Xue, Andrew Owens, Daniel Scharstein, Michael Goesele, Richard Szeliski
2017 J jnl
A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction.
Int. J. Comput. Vis.
Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer
2017 B conf
Mondrian stereo.
ICIP
Dylan Quenneville, Daniel Scharstein
2017 J jnl
Semi-Global Stereo Matching with Surface Orientation Priors.
CoRR
Daniel Scharstein, Tatsunori Taniai, Sudipta N. Sinha
2017 — conf
Semi-global Stereo Matching with Surface Orientation Priors.
3DV
Daniel Scharstein, Tatsunori Taniai, Sudipta N. Sinha
2014 — conf
A TV Prior for High-Quality Local Multi-view Stereo Reconstruction.
3DV
Andreas Kuhn, Helmut Mayer, Heiko Hirschmüller, Daniel Scharstein
2014 A* conf
Efficient High-Resolution Stereo Matching Using Local Plane Sweeps.
CVPR
Sudipta Narayan Sinha, Daniel Scharstein, Richard Szeliski
2014 — conf
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth.
GCPR
Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nesic, Xi Wang, Porter Westling
2014 J jnl
Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
2013 J jnl
Image-based rendering in the gradient domain.
ACM Trans. Graph.
Johannes Kopf, Fabian Langguth, Daniel Scharstein, Richard Szeliski, Michael Goesele
2013 J jnl
Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images.
CoRR
Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
2012 J jnl
Image-based rendering for scenes with reflections.
ACM Trans. Graph.
Sudipta N. Sinha, Johannes Kopf, Michael Goesele, Daniel Scharstein, Richard Szeliski
2012 J jnl
On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference.
Int. J. Comput. Vis.
Christopher J. Pal, Jerod J. Weinman, Lam C. Tran, Daniel Scharstein
2011 J jnl
A Database and Evaluation Methodology for Optical Flow.
Int. J. Comput. Vis.
Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski
2011 A* conf
Object stereo - Joint stereo matching and object segmentation.
CVPR
Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha
2010 B conf
Multiple Plane Detection in Image Pairs Using J-Linkage.
ICPR
David F. Fouhey, Daniel Scharstein, Amy J. Briggs
2009 A conf
An Empirical Camera Model for Internet Color Vision.
BMVC
Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler
2009 J jnl
Evaluation of Stereo Matching Costs on Images with Radiometric Differences.
IEEE Trans. Pattern Anal. Mach. Intell.
Heiko Hirschmüller, Daniel Scharstein
2008 J jnl
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors.
IEEE Trans. Pattern Anal. Mach. Intell.
Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother
2007 A* conf
A Database and Evaluation Methodology for Optical Flow.
ICCV
Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski
2007 A* conf
Evaluation of Cost Functions for Stereo Matching.
CVPR
Heiko Hirschmüller, Daniel Scharstein
2007 A* conf
Learning Conditional Random Fields for Stereo.
CVPR
Daniel Scharstein, Chris Pal
2006 — conf
A Comparative Study of Energy Minimization Methods for Markov Random Fields.
ECCV (2)
Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother
2006 — conf
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms.
CVPR (1)
Steven M. Seitz, Brian Curless, James Diebel, Daniel Scharstein, Richard Szeliski
2006 J jnl
Matching scale-space features in 1D panoramas.
Comput. Vis. Image Underst.
Amy J. Briggs, Carrick Detweiler, Yunpeng Li, Peter C. Mullen, Daniel Scharstein
2006 A* conf
Robot Navigation using 1D Panoramic Images.
ICRA
Amy J. Briggs, Yunpeng Li, Daniel Scharstein, Matt Wilder
2004 J jnl
Expected Shortest Paths for Landmark-Based Robot Navigation.
Int. J. Robotics Res.
Amy J. Briggs, Carrick Detweiler, Daniel Scharstein, Alexander Vandenberg-Rodes
2004 J jnl
Sampling the Disparity Space Image.
IEEE Trans. Pattern Anal. Mach. Intell.
Richard Szeliski, Daniel Scharstein
2003 — conf
High-Accuracy Stereo Depth Maps Using Structured Light.
CVPR (1)
Daniel Scharstein, Richard Szeliski
2002 J jnl
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms.
Int. J. Comput. Vis.
Daniel Scharstein, Richard Szeliski
2002 C conf
Expected Shortest Paths for Landmark-Based Robot Navigation.
WAFR
Amy J. Briggs, Carrick Detweiler, Daniel Scharstein, Alexander Vandenberg-Rodes
2002 — conf
Symmetric Sub-Pixel Stereo Matching.
ECCV (2)
Richard Szeliski, Daniel Scharstein
2001 J jnl
Real-time recognition of self-similar landmarks.
Image Vis. Comput.
Daniel Scharstein, Amy J. Briggs
2000 A* conf
Mobile Robot Navigation using Self-Similar Landmarks.
ICRA
Amy J. Briggs, Daniel Scharstein, Darius Braziunas, Cristian Dima, Peter Wall
1999 — book
View Synthesis Using Stereo Vision
Daniel Scharstein
1998 J jnl
Optimal placement of convex polygons to maximize point containment.
Comput. Geom.
Matthew Dickerson, Daniel Scharstein
1998 J jnl
Stereo Matching with Nonlinear Diffusion.
Int. J. Comput. Vis.
Daniel Scharstein, Richard Szeliski
1997 — —
View Synthesis Using Sterio Vision.
Daniel Scharstein
1996 A* conf
Optimal Placement of Convex Polygons to Maximize Point Containment.
SODA
Matthew Dickerson, Daniel Scharstein
1996 A* conf
Stereo Matching with Non-Linear Diffusion.
CVPR
Daniel Scharstein, Richard Szeliski
1996 A* conf
Stereo Vision for View Synthesis.
CVPR
Daniel Scharstein
1996 — conf
The Rotation Diagram and Optimal Containing Placements of a Convex Polygon.
SCG
Matthew Dickerson, Daniel Scharstein
1994 — conf
Matching images by comparing their gradient fields.
ICPR (1)
Daniel Scharstein
1993 J jnl
Bounded-Overhead Caching for Definite-Clause Theorem Proving.
J. Autom. Reason.
Alberto M. Segre, Daniel Scharstein