In-bed pose estimation: Deep learning with shallow dataset S Liu, Y Yin, S Ostadabbas IEEE journal of translational engineering in health and medicine 7, 1-12, 2019 | 88 | 2019 |
A vision-based system for in-bed posture tracking S Liu, S Ostadabbas Proceedings of the IEEE international conference on computer vision …, 2017 | 59 | 2017 |
Seeing under the cover: A physics guided learning approach for in-bed pose estimation S Liu, S Ostadabbas International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 52 | 2019 |
Invariant representation learning for infant pose estimation with small data X Huang, N Fu, S Liu, S Ostadabbas 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 39 | 2021 |
Simultaneously-collected multimodal lying pose dataset: Enabling in-bed human pose monitoring S Liu, X Huang, N Fu, C Li, Z Su, S Ostadabbas IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 1106-1118, 2022 | 37 | 2022 |
Recognition of atypical behavior in autism diagnosis from video using pose estimation over time K Vyas, R Ma, B Rezaei, S Liu, M Neubauer, T Ploetz, R Oberleitner, ... 2019 IEEE 29th international workshop on machine learning for signal …, 2019 | 33 | 2019 |
Simultaneously-collected multimodal lying pose dataset: Towards in-bed human pose monitoring under adverse vision conditions S Liu, X Huang, N Fu, C Li, Z Su, S Ostadabbas arXiv preprint arXiv:2008.08735, 2020 | 21 | 2020 |
A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines S Liu, S Ostadabbas arXiv preprint arXiv:1808.02595 (ECCV2018), 2018 | 19 | 2018 |
Development of use-specific high-performance cyber-nanomaterial optical detectors by effective choice of machine learning algorithms D Hejazi, S Liu, A Farnoosh, S Ostadabbas, S Kar Machine Learning: Science and Technology 1 (2), 025007, 2020 | 18 | 2020 |
Transition metal dichalcogenide thin films for precise optical wavelength estimation using Bayesian inference D Hejazi, S Liu, S Ostadabbas, S Kar ACS Applied Nano Materials 2 (7), 4075-4084, 2019 | 15 | 2019 |
A roughness measurement method based on genetic algorithm and neural network for microheterogeneous surface in deep-hole parts W Liu, X Zheng, S Liu, Z Jia Journal of Circuits, Systems, and Computers 21 (01), 1250005, 2012 | 15 | 2012 |
An efficient 3d synthetic model generation pipeline for human pose data augmentation K Vyas, L Jiang, S Liu, S Ostadabbas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 13 | 2021 |
Zhongnan Su, and Sarah Ostadabbas. Simultaneously-collected multimodal lying pose dataset: Towards in-bed human pose monitoring under adverse vision conditions S Liu, X Huang, N Fu, C Li arXiv preprint arXiv:2008.08735 2 (3), 5, 2020 | 12 | 2020 |
An image acquiring method for position and attitude measurement of high-speed target in wind tunnel W Liu, S Liu, Y Zhang, Z Shang, X Ma Sensors & Transducers 160 (12), 635, 2013 | 11 | 2013 |
Adapted human pose: monocular 3D human pose estimation with zero real 3D pose data S Liu, N Sehgal, S Ostadabbas Applied Intelligence 52 (12), 14491-14506, 2022 | 9 | 2022 |
Prior-aware synthetic data to the rescue: Animal pose estimation with very limited real data L Jiang, S Liu, X Bai, S Ostadabbas arXiv preprint arXiv:2208.13944, 2022 | 9 | 2022 |
Study on on-line measurement system of dimension for hot heavy forging W Liu, S Liu, Z Jia, B Wang, X Jia Yadian yu Shengguang 33 (5), 831-836, 2011 | 9 | 2011 |
Heuristic Weakly Supervised 3D Human Pose Estimation S Liu, M Wan, S Ostadabbas arXiv preprint arXiv:2105.10996, 2021 | 7 | 2021 |
Inner Space Preserving Generative Pose Machine S Liu, S Ostadabbas European Conference on Computer Vision (ECCV) 2018, 740--759, 2018 | 7 | 2018 |
Field calibration method of camera for measuring the dimensions of large forging W Liu, J Du, B Wang, X Jia, S Liu, Z Jia Intelligent Robotics and Applications: Third International Conference, ICIRA …, 2010 | 5 | 2010 |