| Learning a blind measure of perceptual image quality H Tang, N Joshi, A Kapoor CVPR 2011, 305-312, 2011 | 293 | 2011 |
| Blind image quality assessment using semi-supervised rectifier networks H Tang, N Joshi, A Kapoor Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 111 | 2014 |
| Depth from defocus in the wild H Tang, S Cohen, B Price, S Schiller, KN Kutulakos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 37 | 2017 |
| High resolution photography with an RGB-infrared camera H Tang, X Zhang, S Zhuo, F Chen, KN Kutulakos, L Shen 2015 IEEE International Conference on Computational Photography (ICCP), 1-10, 2015 | 31 | 2015 |
| What does an aberrated photo tell us about the lens and the scene? H Tang, KN Kutulakos IEEE International Conference on Computational Photography (ICCP), 1-10, 2013 | 31 | 2013 |
| Image quality assessment N Joshi, A Kapoor, H Tang US Patent 8,494,283, 2013 | 19 | 2013 |
| Detail recovery for single-image defocus blur YW Tai, H Tang, MS Brown, S Lin IPSJ Transactions on Computer Vision and Applications 1, 95-104, 2009 | 18 | 2009 |
| Utilizing optical aberrations for extended-depth-of-field panoramas H Tang, KN Kutulakos Asian Conference on Computer Vision, 365-378, 2012 | 11 | 2012 |
| A comparative evaluation of deep belief nets in semi-supervised learning H Tang Report for CSC2515, Department of Computer Science University of Toronto, 2008 | 8 | 2008 |
| Depth map generation H Tang, S Cohen, S Schiller, B Price US Patent 9,292,926, 2016 | 5 | 2016 |
| A markov random field model for image segmentation based on gestalt laws Y Ren, H Tang, H Wei International Conference on Neural Information Processing, 582-591, 2011 | 5 | 2011 |
| Configuration settings of a digital camera for depth map generation H Tang, S Cohen, S Schiller, B Price US Patent 9,307,222, 2016 | 4 | 2016 |
| Settings of a digital camera for depth map refinement H Tang, S Cohen, S Schiller, B Price US Patent 9,307,221, 2016 | 3 | 2016 |
| A coarse-to-fine method for shape recognition HX Tang, H Wei Journal of Computer Science and Technology 22 (2), 330-334, 2007 | 3 | 2007 |
| Image reconstruction from image sensor output H Tang, S Chen, X Liu US Patent 10,848,681, 2020 | 1 | 2020 |
| Raycast calibration for augmented reality HMDs with off-axis reflective combiners Q Guo, H Tang, A Schmitz, W Zhang, Y Lou, A Fix, S Lovegrove, ... 2020 IEEE International Conference on Computational Photography (ICCP), 1-12, 2020 | 1 | 2020 |
| CTFDP: an affine invariant method for matching contours HX Tang, H Wei 2005 International Conference on Machine Learning and Cybernetics 8, 5088-5093, 2005 | 1 | 2005 |
| Dynamic structured light for depth sensing systems based on contrast in a local area M Hall, X Liu, Z Zhu, RL Chhabria, H Tang, S Su, Z Gao US Patent App. 17/504,004, 2022 | | 2022 |
| Multi-channel depth estimation using census transforms M Hall, X Liu, Z Zhu, RL Chhabria, H Tang, S Su US Patent App. 17/230,109, 2022 | | 2022 |
| Dynamic illumination control for depth determination F Li, Z Gao, M Hall, Z Zhu, S Su, H Tang, X Liu, ND Trail US Patent 11,195,291, 2021 | | 2021 |
Ashish KapoorPartner Research Manager, Microsoft RedmondVerified email at microsoft.com
