| Invariant Representation Learning for Infant Pose Estimation with Small Data X Huang, N Fu, S Liu, K Vyas, A Farnoosh, S Ostadabbas 2021 16th IEEE International Conference on Automatic Face and Gesture …, 2021 | 32 | 2021 |
| DeepPBM: Deep probabilistic background model estimation from video sequences A Farnoosh, B Rezaei, S Ostadabbas International Conference on Pattern Recognition, 608-621, 2021 | 27* | 2021 |
| Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting A Farnoosh, B Azari, S Ostadabbas Proceedings of the AAAI Conference on Artificial Intelligence. 35 (8), 7394 …, 2021 | 20 | 2021 |
| 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 |
| G-LBM: Generative Low-Dimensional Background Model Estimation from Video Sequences B Rezaei, A Farnoosh, S Ostadabbas European Conference on Computer Vision (ECCV 2020) 12357, 293-310, 2020 | 15 | 2020 |
| Augmenting human spatial navigation via sensory substitution B Dunbar, J Hynes-Bruell, E Shi, G Moo, B Wisheart, T Kolongowski, ... 2017 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-4, 2017 | 12 | 2017 |
| A bayesian dynamical approach for human action recognition A Farnoosh, Z Wang, S Zhu, S Ostadabbas Sensors 21 (16), 5613, 2021 | 9 | 2021 |
| Neural topographic factor analysis for fmri data E Sennesh, Z Khan, Y Wang, JB Hutchinson, A Satpute, J Dy, ... Advances in Neural Information Processing Systems 33, 12046-12056, 2020 | 7 | 2020 |
| First-person indoor navigation via vision-inertial data fusion A Farnoosh, M Nabian, P Closas, S Ostadabbas 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 1213-1222, 2018 | 7 | 2018 |
| Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data A Farnoosh, S Ostadabbas Advances in Neural Information Processing Systems 34, 2021 | 6 | 2021 |
| Deep Markov spatio-temporal factorization A Farnoosh, B Rezaei, EZ Sennesh, Z Khan, J Dy, A Satpute, ... arXiv preprint arXiv:2003.09779, 2020 | 5 | 2020 |
| Dynamical deep generative latent modeling of 3d skeletal motion A Farnoosh, S Ostadabbas International Journal of Computer Vision, 1-12, 2022 | 4 | 2022 |
| Spatially-continuous plantar pressure reconstruction using compressive sensing A Farnoosh, S Ostadabbas, M Nourani Machine Learning for Healthcare Conference, 13-24, 2017 | 4 | 2017 |
| Introduction to Indoor GeoNet A Farnoosh, S Ostadabbas CVPR Workshop on 3D Scene Understanding for Vision, Graphics and Robotics, 2019 | 3 | 2019 |
| Information theoretic evaluation of brain connectivity compared to cross correlation using simulated resting state fmri data A Farnoosh, H Soltanian-Zadeh 2017 Iranian Conference on Electrical Engineering (ICEE), 107-112, 2017 | 2 | 2017 |
| Postmortem Magnetic Resonance Imaging of In Utero Fetuses and Its Relationship With Postmortem Interval: A Multi-Organ Observational Study on Reduced Fetuses of Complicated … B Moradi, Z Habibi, N Badraqe, M Rahmani, M Shirazi, FR Sharbaf, ... Journal of magnetic resonance imaging: JMRI, 2022 | | 2022 |
| Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data A Farnoosh Northeastern University, 2021 | | 2021 |
Sarah OstadabbasElectrical & Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu
