| Every moment counts: Dense detailed labeling of actions in complex videos S Yeung, O Russakovsky, N Jin, M Andriluka, G Mori, L Fei-Fei International Journal of Computer Vision 126, 375-389, 2018 | 547 | 2018 |
| Self-supervised learning of state estimation for manipulating deformable linear objects M Yan, Y Zhu, N Jin, J Bohg IEEE robotics and automation letters 5 (2), 2372-2379, 2020 | 181 | 2020 |
| A pixel‐based framework for data‐driven clothing N Jin, Y Zhu, Z Geng, R Fedkiw Computer Graphics Forum 39 (8), 135-144, 2020 | 61 | 2020 |
| Inequality cloth N Jin, W Lu, Z Geng, RP Fedkiw Proceedings of the ACM SIGGRAPH/Eurographics symposium on computer animation …, 2017 | 27 | 2017 |
| Two-way coupling of fluids to reduced deformable bodies W Lu, N Jin, R Fedkiw Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation …, 2016 | 23 | 2016 |
| A new sharp-crease bending element for folding and wrinkling surfaces and volumes S Patkar, N Jin, R Fedkiw Proceedings of the 14th ACM SIGGRAPH/Eurographics Symposium on Computer …, 2015 | 5 | 2015 |
| Novel Representations for 3D Cloth Simulation Including Convolutional Neural Networks Leveraging Data, Inequality Constraints via Optimization for Wrinkling, and Virtual Finite … N Jin Stanford University, 2019 | | 2019 |
