| Deep bilateral learning for real-time image enhancement M Gharbi, J Chen, JT Barron, SW Hasinoff, F Durand ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017 | 929 | 2017 |
| Local Laplacian filters: Edge-aware image processing with a Laplacian pyramid. S Paris, SW Hasinoff, J Kautz ACM Trans. Graph. 30 (4), 68, 2011 | 809* | 2011 |
| Burst photography for high dynamic range and low-light imaging on mobile cameras SW Hasinoff, D Sharlet, R Geiss, A Adams, JT Barron, F Kainz, J Chen, ... ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016 | 622 | 2016 |
| Noise-optimal capture for high dynamic range photography SW Hasinoff, F Durand, WT Freeman 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 334 | 2010 |
| Fast local laplacian filters: Theory and applications M Aubry, S Paris, SW Hasinoff, J Kautz, F Durand ACM Transactions on Graphics (TOG) 33 (5), 1-14, 2014 | 314 | 2014 |
| Photon, poisson noise SW Hasinoff Computer vision, 608-610, 2014 | 275 | 2014 |
| 4D frequency analysis of computational cameras for depth of field extension A Levin, SW Hasinoff, P Green, F Durand, WT Freeman ACM Transactions on Graphics (TOG) 28 (3), 97, 2009 | 174 | 2009 |
| Handheld mobile photography in very low light. O Liba, K Murthy, YT Tsai, T Brooks, T Xue, N Karnad, Q He, JT Barron, ... ACM Trans. Graph. 38 (6), 164:1-164:16, 2019 | 151 | 2019 |
| Bilateral guided upsampling J Chen, A Adams, N Wadhwa, SW Hasinoff ACM Transactions on Graphics (TOG) 35 (6), 1-8, 2016 | 151 | 2016 |
| Confocal stereo SW Hasinoff, KN Kutulakos International journal of computer vision 81 (1), 82-104, 2009 | 139 | 2009 |
| Photo-consistent reconstruction of semitransparent scenes by density-sheet decomposition SW Hasinoff, KN Kutulakos Pattern Analysis and Machine Intelligence, IEEE Transactions on 29 (5), 870-885, 2007 | 126* | 2007 |
| Camera obstruction detection P Milanfar, MS Levoy, SW Hasinoff, C Zhou US Patent 9,253,375, 2016 | 125 | 2016 |
| Light-Efficient Photography SW Hasinoff, KN Kutulakos Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (11 …, 2011 | 113 | 2011 |
| A layer-based restoration framework for variable-aperture photography SW Hasinoff, KN Kutulakos 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 103 | 2007 |
| Time-constrained photography SW Hasinoff, KN Kutulakos, F Durand, WT Freeman Computer Vision, 2009 IEEE 12th International Conference on, 333-340, 2009 | 88 | 2009 |
| Determining an image capture payload burst structure based on a metering image capture sweep MS Levoy, R Geiss, SW Hasinoff US Patent 8,866,927, 2014 | 72 | 2014 |
| Boundary matting for view synthesis SW Hasinoff, SB Kang, R Szeliski Computer Vision and Image Understanding 103 (1), 22-32, 2006 | 72 | 2006 |
| Reinforcement learning for problems with hidden state SW Hasinoff University of Toronto, Technical Report, 2002 | 52 | 2002 |
| Noise models for image processing R Geiss, C Zhou, SW Hasinoff US Patent 9,686,537, 2017 | 45 | 2017 |
| Image merging with blending R Geiss, SW Hasinoff US Patent 9,117,134, 2015 | 45 | 2015 |
Fredo DurandProfessor of Computer Science, MITVerified email at mit.edu
