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Daniel Scharstein
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2020 – today
- 2023
- [c25]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:
A Practical Stereo Depth System for Smart Glasses. CVPR 2023: 21498-21507 - 2022
- [c24]Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, Michael J. Black:
Capturing and Inferring Dense Full-Body Human-Scene Contact. CVPR 2022: 13264-13275 - [i4]Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, Michael J. Black:
Capturing and Inferring Dense Full-Body Human-Scene Contact. CoRR abs/2206.09553 (2022) - [i3]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:
A Practical Stereo Depth System for Smart Glasses. CoRR abs/2211.10551 (2022) - 2021
- [j18]Daniel Scharstein, Angela Dai, Daniel Kondermann, Torsten Sattler, Konrad Schindler:
Guest Editorial: Special Issue on Performance Evaluation in Computer Vision. Int. J. Comput. Vis. 129(7): 2029-2030 (2021)
2010 – 2019
- 2019
- [j17]Tianfan Xue, Andrew Owens, Daniel Scharstein, Michael Goesele, Richard Szeliski:
Multi-frame stereo matching with edges, planes, and superpixels. Image Vis. Comput. 91 (2019) - 2017
- [j16]Andreas Kuhn, Heiko Hirschmüller, Daniel Scharstein, Helmut Mayer:
A TV Prior for High-Quality Scalable Multi-View Stereo Reconstruction. Int. J. Comput. Vis. 124(1): 2-17 (2017) - [c23]Daniel Scharstein, Tatsunori Taniai, Sudipta N. Sinha:
Semi-global Stereo Matching with Surface Orientation Priors. 3DV 2017: 215-224 - [c22]Dylan Quenneville, Daniel Scharstein:
Mondrian stereo. ICIP 2017: 136-140 - [i2]Daniel Scharstein, Tatsunori Taniai, Sudipta N. Sinha:
Semi-Global Stereo Matching with Surface Orientation Priors. CoRR abs/1712.00818 (2017) - 2014
- [j15]Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko:
Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2185-2198 (2014) - [c21]Andreas Kuhn, Helmut Mayer, Heiko Hirschmüller, Daniel Scharstein:
A TV Prior for High-Quality Local Multi-view Stereo Reconstruction. 3DV 2014: 65-72 - [c20]Sudipta Narayan Sinha, Daniel Scharstein, Richard Szeliski:
Efficient High-Resolution Stereo Matching Using Local Plane Sweeps. CVPR 2014: 1582-1589 - [c19]Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nesic, Xi Wang, Porter Westling:
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth. GCPR 2014: 31-42 - 2013
- [j14]Johannes Kopf, Fabian Langguth, Daniel Scharstein, Richard Szeliski, Michael Goesele:
Image-based rendering in the gradient domain. ACM Trans. Graph. 32(6): 199:1-199:9 (2013) - [i1]Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko:
Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images. CoRR abs/1311.6887 (2013) - 2012
- [j13]Christopher J. Pal, Jerod J. Weinman, Lam C. Tran, Daniel Scharstein:
On Learning Conditional Random Fields for Stereo - Exploring Model Structures and Approximate Inference. Int. J. Comput. Vis. 99(3): 319-337 (2012) - [j12]Sudipta N. Sinha, Johannes Kopf, Michael Goesele, Daniel Scharstein, Richard Szeliski:
Image-based rendering for scenes with reflections. ACM Trans. Graph. 31(4): 100:1-100:10 (2012) - 2011
- [j11]Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski:
A Database and Evaluation Methodology for Optical Flow. Int. J. Comput. Vis. 92(1): 1-31 (2011) - [c18]Michael Bleyer, Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta N. Sinha:
Object stereo - Joint stereo matching and object segmentation. CVPR 2011: 3081-3088 - 2010
- [c17]David F. Fouhey, Daniel Scharstein, Amy J. Briggs:
Multiple Plane Detection in Image Pairs Using J-Linkage. ICPR 2010: 336-339
2000 – 2009
- 2009
- [j10]Heiko Hirschmüller, Daniel Scharstein:
Evaluation of Stereo Matching Costs on Images with Radiometric Differences. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1582-1599 (2009) - [c16]Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler:
An Empirical Camera Model for Internet Color Vision. BMVC 2009: 1-11 - 2008
- [j9]Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother:
A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 1068-1080 (2008) - 2007
- [c15]Heiko Hirschmüller, Daniel Scharstein:
Evaluation of Cost Functions for Stereo Matching. CVPR 2007 - [c14]Daniel Scharstein, Chris Pal:
Learning Conditional Random Fields for Stereo. CVPR 2007 - [c13]Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, Richard Szeliski:
A Database and Evaluation Methodology for Optical Flow. ICCV 2007: 1-8 - 2006
- [j8]Amy J. Briggs, Carrick Detweiler, Yunpeng Li, Peter C. Mullen, Daniel Scharstein:
Matching scale-space features in 1D panoramas. Comput. Vis. Image Underst. 103(3): 184-195 (2006) - [c12]Steven M. Seitz, Brian Curless, James Diebel, Daniel Scharstein, Richard Szeliski:
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms. CVPR (1) 2006: 519-528 - [c11]Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother:
A Comparative Study of Energy Minimization Methods for Markov Random Fields. ECCV (2) 2006: 16-29 - [c10]Amy J. Briggs, Yunpeng Li, Daniel Scharstein, Matt Wilder:
Robot Navigation using 1D Panoramic Images. ICRA 2006: 2679-2685 - 2004
- [j7]Amy J. Briggs, Carrick Detweiler, Daniel Scharstein, Alexander Vandenberg-Rodes:
Expected Shortest Paths for Landmark-Based Robot Navigation. Int. J. Robotics Res. 23(7-8): 717-728 (2004) - [j6]Richard Szeliski, Daniel Scharstein:
Sampling the Disparity Space Image. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 419-425 (2004) - 2003
- [c9]Daniel Scharstein, Richard Szeliski:
High-Accuracy Stereo Depth Maps Using Structured Light. CVPR (1) 2003: 195-202 - 2002
- [j5]Daniel Scharstein, Richard Szeliski:
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. Int. J. Comput. Vis. 47(1-3): 7-42 (2002) - [c8]Richard Szeliski, Daniel Scharstein:
Symmetric Sub-Pixel Stereo Matching. ECCV (2) 2002: 525-540 - [c7]Amy J. Briggs, Carrick Detweiler, Daniel Scharstein, Alexander Vandenberg-Rodes:
Expected Shortest Paths for Landmark-Based Robot Navigation. WAFR 2002: 381-398 - 2001
- [j4]Daniel Scharstein, Amy J. Briggs:
Real-time recognition of self-similar landmarks. Image Vis. Comput. 19(11): 763-772 (2001) - 2000
- [c6]Amy J. Briggs, Daniel Scharstein, Darius Braziunas, Cristian Dima, Peter Wall:
Mobile Robot Navigation using Self-Similar Landmarks. ICRA 2000: 1428-1434
1990 – 1999
- 1999
- [b2]Daniel Scharstein:
View Synthesis Using Stereo Vision. Lecture Notes in Computer Science 1583, Springer 1999, ISBN 3-540-66159-X - 1998
- [j3]Matthew Dickerson, Daniel Scharstein:
Optimal placement of convex polygons to maximize point containment. Comput. Geom. 11(1): 1-16 (1998) - [j2]Daniel Scharstein, Richard Szeliski:
Stereo Matching with Nonlinear Diffusion. Int. J. Comput. Vis. 28(2): 155-174 (1998) - 1997
- [b1]Daniel Scharstein:
View Synthesis Using Sterio Vision. Cornell University, USA, 1997 - 1996
- [c5]Matthew Dickerson, Daniel Scharstein:
The Rotation Diagram and Optimal Containing Placements of a Convex Polygon. SCG 1996: V-9-V-10 - [c4]Daniel Scharstein, Richard Szeliski:
Stereo Matching with Non-Linear Diffusion. CVPR 1996: 343-350 - [c3]Daniel Scharstein:
Stereo Vision for View Synthesis. CVPR 1996: 852-858 - [c2]Matthew Dickerson, Daniel Scharstein:
Optimal Placement of Convex Polygons to Maximize Point Containment. SODA 1996: 114-121 - 1994
- [c1]Daniel Scharstein:
Matching images by comparing their gradient fields. ICPR (1) 1994: 572-575 - 1993
- [j1]Alberto M. Segre, Daniel Scharstein:
Bounded-Overhead Caching for Definite-Clause Theorem Proving. J. Autom. Reason. 11(1): 83-113 (1993)
Coauthor Index
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