Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing. - Amirreza Farnoosh; Sarah Ostadabbas; Mehrdad Nourani (MLHC, 2017)

First-person indoor navigation via vision-inertial data fusion. - Amirreza Farnoosh; Mohsen Nabian; Pau Closas; Sarah Ostadabbas (PLANS, 2018)

Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation. - Amirreza Farnoosh; Sarah Ostadabbas (CoRR, 2018)

G-LBM: Generative Low-Dimensional Background Model Estimation from Video Sequences. - Behnaz Rezaei; Amirreza Farnoosh; Sarah Ostadabbas (ECCV (12), 2020)

DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences. - Behnaz Rezaei; Amirreza Farnoosh; Sarah Ostadabbas (ICPR Workshops (2), 2020)

Deep Markov Spatio-Temporal Factorization. - Amirreza Farnoosh; Behnaz Rezaei; Eli Zachary Sennesh; Zulqarnain Khan; Jennifer G. Dy; Ajay B. Satpute; J. Benjamin Hutchinson; Jan-Willem van de Meent; Sarah Ostadabbas (CoRR, 2020)

Development of use-specific high-performance cyber-nanomaterial optical detectors by effective choice of machine learning algorithms. - Davoud Hejazi; Shuangjun Liu; Amirreza Farnoosh; Sarah Ostadabbas; Swastik Kar (Mach. Learn. Sci. Technol., 2020)

Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting. - Amirreza Farnoosh; Bahar Azari; Sarah Ostadabbas (AAAI, 2021)

Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data. - Amirreza Farnoosh; Sarah Ostadabbas (NeurIPS, 2021)

A Bayesian Dynamical Approach for Human Action Recognition. - Amirreza Farnoosh; Zhouping Wang; Shaotong Zhu; Sarah Ostadabbas (Sensors, 2021)

Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion. - Amirreza Farnoosh; Sarah Ostadabbas (Int. J. Comput. Vis., 2022)