| Learning to decompose and disentangle representations for video prediction JT Hsieh, B Liu, DA Huang, LF Fei-Fei, JC Niebles Advances in Neural Information Processing Systems, 517-526, 2018 | 98 | 2018 |
| Temporal modular networks for retrieving complex compositional activities in videos B Liu, S Yeung, E Chou, DA Huang, L Fei-Fei, J Carlos Niebles Proceedings of the European Conference on Computer Vision (ECCV), 552-568, 2018 | 33 | 2018 |
| A computer vision system for deep learning-based detection of patient mobilization activities in the ICU S Yeung, F Rinaldo, J Jopling, B Liu, R Mehra, NL Downing, M Guo, ... NPJ digital medicine 2 (1), 1-5, 2019 | 31 | 2019 |
| Spatiotemporal relationship reasoning for pedestrian intent prediction B Liu, E Adeli, Z Cao, KH Lee, A Shenoi, A Gaidon, JC Niebles IEEE Robotics and Automation Letters 5 (2), 3485-3492, 2020 | 9 | 2020 |
| 3d point cloud-based visual prediction of icu mobility care activities B Liu, M Guo, E Chou, R Mehra, S Yeung, NL Downing, F Salipur, ... Machine Learning for Healthcare Conference, 17-29, 2018 | 7 | 2018 |
| Generalized boosting A Suggala, B Liu, P Ravikumar Advances in Neural Information Processing Systems 33, 2020 | 1 | 2020 |
| A Computer Vision System to Detect Bedside Patient Mobilization F Rinaldo, J Jopling, B Liu, R Mehra, L Downing, M Guo, G Bianconi, ... Nature Digital Medicine, 2019 | | 2019 |
| EE376A (Winter 2019) B Liu, JT Hsieh | | |
| Learning to Decompose and Disentangle Representations for Video Prediction (Supplementary) JT Hsieh, B Liu, DA Huang, L Fei-Fei, JC Niebles | | |
Li Fei-FeiProfessor of Computer Science, Stanford University確認したメール アドレス: cs.stanford.edu
