| Depth from combining defocus and correspondence using light-field cameras MW Tao, S Hadap, J Malik, R Ramamoorthi Proceedings of the IEEE International Conference on Computer Vision, 673-680, 2013 | 471 | 2013 |
| Modeling dynamic hair as a continuum S Hadap, N Magnenat‐Thalmann Computer Graphics Forum 20 (3), 329-338, 2001 | 225 | 2001 |
| Neural face editing with intrinsic image disentangling Z Shu, E Yumer, S Hadap, K Sunkavalli, E Shechtman, D Samaras Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 164 | 2017 |
| A deep matrix factorization method for learning attribute representations G Trigeorgis, K Bousmalis, S Zafeiriou, BW Schuller IEEE transactions on pattern analysis and machine intelligence 39 (3), 417-429, 2016 | 137 | 2016 |
| Automatic scene inference for 3d object compositing K Karsch, K Sunkavalli, S Hadap, N Carr, H Jin, R Fonte, M Sittig, ... ACM Transactions on Graphics (TOG) 33 (3), 1-15, 2014 | 126 | 2014 |
| Animating wrinkles on clothes S Hadap, E Bongarter, P Volino, N Magnenat-Thalmann Proceedings Visualization'99 (Cat. No. 99CB37067), 175-523, 1999 | 121 | 1999 |
| Deep outdoor illumination estimation Y Hold-Geoffroy, K Sunkavalli, S Hadap, E Gambaretto, JF Lalonde Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 110 | 2017 |
| Oriented strands: dynamics of stiff multi-body system S Hadap Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer …, 2006 | 99 | 2006 |
| Interactive hair styler based on fluid flow S Hadap, N Magnenat-Thalmann Computer Animation and Simulation 2000, 87-99, 2000 | 87 | 2000 |
| State of the art in hair simulation N Magnenat-Thalmann, S Hadap, P Kalra International workshop on human modeling and animation, 3-9, 2000 | 77 | 2000 |
| Specular reflection separation using dark channel prior H Kim, H Jin, S Hadap, I Kweon Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 76 | 2013 |
| Shading-aware multi-view stereo F Langguth, K Sunkavalli, S Hadap, M Goesele European Conference on Computer Vision, 469-485, 2016 | 65 | 2016 |
| High-quality hair modeling from a single portrait photo M Chai, L Luo, K Sunkavalli, N Carr, S Hadap, K Zhou ACM Transactions on Graphics (TOG) 34 (6), 1-10, 2015 | 57 | 2015 |
| Shape estimation from shading, defocus, and correspondence using light-field angular coherence MW Tao, PP Srinivasan, S Hadap, S Rusinkiewicz, J Malik, ... IEEE transactions on pattern analysis and machine intelligence 39 (3), 546-560, 2016 | 54 | 2016 |
| Compositing images through light source detection J Lopez-Moreno, S Hadap, E Reinhard, D Gutierrez Computers & Graphics 34 (6), 698-707, 2010 | 53 | 2010 |
| Deep image-based relighting from optimal sparse samples Z Xu, K Sunkavalli, S Hadap, R Ramamoorthi ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018 | 50 | 2018 |
| Collision detection and proximity queries S Hadap, D Eberle, P Volino, MC Lin, S Redon, C Ericson ACM SIGGRAPH 2004 Course Notes, 15-es, 2004 | 46 | 2004 |
| Deep view synthesis from sparse photometric images Z Xu, S Bi, K Sunkavalli, S Hadap, H Su, R Ramamoorthi ACM Transactions on Graphics (TOG) 38 (4), 1-13, 2019 | 37 | 2019 |
| Regularized depth from defocus VP Namboodiri, S Chaudhuri, S Hadap 2008 15th IEEE International Conference on Image Processing, 1520-1523, 2008 | 35 | 2008 |
| Mt-vae: Learning motion transformations to generate multimodal human dynamics X Yan, A Rastogi, R Villegas, K Sunkavalli, E Shechtman, S Hadap, ... Proceedings of the European Conference on Computer Vision (ECCV), 265-281, 2018 | 32 | 2018 |
Kalyan SunkavalliAdobe ResearchVerified email at adobe.com
