| Sampling-based contact-rich motion control L Liu, KK Yin, M van de Panne, T Shao, W Xu ACM Transactions on Graphics (TOG) 29 (4), 1-10, 2010 | 197 | 2010 |
| Learning to schedule control fragments for physics-based characters using deep q-learning L Liu, J Hodgins ACM Transactions on Graphics (TOG) 36 (3), 1-14, 2017 | 151 | 2017 |
| Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning L Liu, J Hodgins ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018 | 148 | 2018 |
| Guided learning of control graphs for physics-based characters L Liu, M van de Panne, KK Yin ACM Transactions on Graphics (TOG) 35 (3), 29, 2016 | 140 | 2016 |
| Simulation and control of skeleton-driven soft body characters L Liu, KK Yin, B Wang, B Guo ACM Transactions on Graphics (TOG) 32 (6), 1-8, 2013 | 97 | 2013 |
| Deformation capture and modeling of soft objects. B Wang, L Wu, KK Yin, UM Ascher, L Liu, H Huang ACM Transactions on Graphics (TOG) 34 (4), 94:1-94:12, 2015 | 93 | 2015 |
| Terrain runner: control, parameterization, composition, and planning for highly dynamic motions. L Liu, KK Yin, M van de Panne, B Guo ACM Transactions on Graphics (TOG) 31 (6), 154:1-154:10, 2012 | 91 | 2012 |
| Improving Sampling-based Motion Control L Liu, KK Yin, B Guo Computer Graphics Forum 34 (2), 415--423, 2015 | 54 | 2015 |
| Learning reduced-order feedback policies for motion skills K Ding, L Liu, M van de Panne, KK Yin SCA '15 Proceedings of the 14th ACM SIGGRAPH / Eurographics Symposium on …, 2015 | 38 | 2015 |
| Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings T Ao, Q Gao, Y Lou, B Chen, L Liu ACM Transactions on Graphics (TOG) 41 (6), 1-19, 2022 | 34 | 2022 |
| Learning skeletal articulations with neural blend shapes P Li, K Aberman, R Hanocka, L Liu, O Sorkine-Hornung, B Chen ACM Transactions on Graphics (TOG) 40 (4), 1-15, 2021 | 25 | 2021 |
| ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters H Yao, Z Song, B Chen, L Liu ACM Transactions on Graphics (TOG) 41 (6), 1-16, 2022 | 19 | 2022 |
| MotionBERT: A Unified Perspective on Learning Human Motion Representations W Zhu, X Ma, Z Liu, L Liu, W Wu, Y Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18* | 2023 |
| GestureDiffuCLIP: Gesture diffusion model with CLIP latents T Ao, Z Zhang, L Liu ACM Transactions on Graphics (TOG) 42 (4), 1–18, 2023 | 14 | 2023 |
| Learning to Use Chopsticks in Diverse Gripping Styles Z Yang, KK Yin, L Liu ACM Transactions on Graphics (TOG) 41 (4), 95:1-17, 2022 | 13 | 2022 |
| Unsupervised co-part segmentation through assembly Q Gao, B Wang, L Liu, B Chen International Conference on Machine Learning, 3576-3586, 2021 | 13 | 2021 |
| Camera keyframing with style and control H Jiang, M Christie, X Wang, L Liu, B Wang, B Chen ACM Transactions on Graphics (TOG) 40 (6), 1-13, 2021 | 11 | 2021 |
| Neural3Points: Learning to Generate Physically Realistic Full‐body Motion for Virtual Reality Users Y Ye, L Liu, L Hu, S Xia Computer Graphics Forum 41 (8), 183-194, 2022 | 9 | 2022 |
| Learning to schedule control fragments for physics-based character simulation and robots using deep Q-learning L Liu, JK Hodgins US Patent 10,929,743, 2021 | 8 | 2021 |
| Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors Q Gao, Y Wang, L Liu, L Liu, C Theobalt, B Chen IEEE Transactions on Visualization and Computer Graphics, 2023 | 6 | 2023 |
KangKang YinSimon Fraser UniversityPotvrđena adresa e-pošte na sfu.ca
