Daniel Scharstein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
9
Active years
1994–2023
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | CVPR | 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, Michael F. Cohen, Matt Uyttendaele |
| 2022 | CVPR | Capturing and Inferring Dense Full-Body Human-Scene Contact. | Chun-Hao P. Huang, Hongwei Yi, Markus Hschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, Michael J. Black |
| 2017 | ICIP | Mondrian stereo. | Dylan Quenneville, Daniel Scharstein |
| 2014 | CVPR | Efficient High-Resolution Stereo Matching Using Local Plane Sweeps. | Sudipta Narayan Sinha, Daniel Scharstein, Richard Szeliski |
| 2011 | CVPR | Object stereo - Joint stereo matching and object segmentation. | Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha |
| 2010 | ICPR | Multiple Plane Detection in Image Pairs Using J-Linkage. | David F. Fouhey, Daniel Scharstein, Amy J. Briggs |
| 2009 | BMVC | An Empirical Camera Model for Internet Color Vision. | Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler |
| 2007 | CVPR | Evaluation of Cost Functions for Stereo Matching. | Heiko Hirschmller, Daniel Scharstein |
| 2007 | CVPR | Learning Conditional Random Fields for Stereo. | Daniel Scharstein, Chris Pal |
| 2007 | ICCV | A Database and Evaluation Methodology for Optical Flow. | Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski |
| 2006 | CVPR | A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms. | Steven M. Seitz, Brian Curless, James Diebel, Daniel Scharstein, Richard Szeliski |
| 2006 | ECCV | 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 |
| 2006 | ICRA | Robot Navigation using 1D Panoramic Images. | Amy J. Briggs, Yunpeng Li, Daniel Scharstein, Matt Wilder |
| 2003 | CVPR | High-Accuracy Stereo Depth Maps Using Structured Light. | Daniel Scharstein, Richard Szeliski |
| 2002 | ECCV | Symmetric Sub-Pixel Stereo Matching. | Richard Szeliski, Daniel Scharstein |
| 2002 | WAFR | Expected Shortest Paths for Landmark-Based Robot Navigation. | Amy J. Briggs, Carrick Detweiler, Daniel Scharstein, Alexander Vandenberg-Rodes |
| 2000 | ICRA | Mobile Robot Navigation using Self-Similar Landmarks. | Amy J. Briggs, Daniel Scharstein, Darius Braziunas, Cristian Dima, Peter Wall |
| 1996 | CVPR | Stereo Vision for View Synthesis. | Daniel Scharstein |
| 1996 | CVPR | Stereo Matching with Non-Linear Diffusion. | Daniel Scharstein, Richard Szeliski |
| 1996 | SODA | Optimal Placement of Convex Polygons to Maximize Point Containment. | Matthew Dickerson, Daniel Scharstein |
| 1994 | ICPR | Matching images by comparing their gradient fields. | Daniel Scharstein |