Scientific Reports (Nature Publishing Group) 11, 1689 (2021), https://doi.org/10.1038/s41598-021-81159-x, 2021.
ACM Transactions on Graphics 40 (4), Article 61 (Proc. SIGGRAPH 2021), 2021.
ACM Transactions on Graphics 39 (1), 2020.
In this paper, we present an efficient renderer for three-bounce indirect transient light transport, and use it to reconstruct objects around corners to unprecedented accuracy.
ACM Transactions on Graphics 39 (2), 2020.
A new computational woodworking technique enabled by analysis of features found in natural materials.
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
The first deep-learning framework for reconstructing object shapes around a corner.
ACM Transactions on Graphics 36(4) (Proc. SIGGRAPH), 35:1--35:11, 2017.
Raindrops on a window heavily distort the view of the scene. We show that a fully calibrated 4D light field can be recovered from a single photograph taken under such adverse conditions.
ACM Transactions on Graphics 36(6) (Proc. SIGGRAPH Asia), 220:1--220:10, 2017.
Computation of image differences is a key operation in computational imaging. We use time-of-flight sensors to perform this operation in a single shot, and discover some remarkable features.
ACM Transactions on Graphics (Proc. SIGGRAPH), 34 (4), 2015.
A new computational imaging system that captures metric radial velocity information per pixel -- think of a huge array of traffic speed guns that use light instead of radar.
ACM Transactions on Graphics (Proc. SIGGRAPH), 32 (4), 2013.
A computational method for capturing videos of light in flight using consumer-grade imaging hardware.