Learning to decompose and disentangle representations for video prediction JT Hsieh, B Liu, DA Huang, L Fei-Fei, JC Niebles arXiv preprint arXiv:1806.04166, 2018 | 122 | 2018 |
Temporal modular networks for retrieving complex compositional activities in videos B Liu, S Yeung, E Chou, DA Huang, L Fei-Fei, JC Niebles Proceedings of the European Conference on Computer Vision (ECCV), 552-568, 2018 | 38 | 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 | 37 | 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 | 15 | 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 | 2 | 2020 |
Contrastive learning of strong-mixing continuous-time stochastic processes B Liu, P Ravikumar, A Risteski International Conference on Artificial Intelligence and Statistics, 3151-3159, 2021 | | 2021 |
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 | | |