| 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 |
| Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving X Bai, Y Luo, L Jiang, A Gupta, P Kaveti, H Singh, S Ostadabbas Journal on Autonomous Transportation Systems 1 (2), 1-15, 2024 | 3 | 2024 |
| An evaluation platform to scope performance of synthetic environments in autonomous ground vehicles simulation X Bai, L Jiang, Y Luo, A Gupta, P Kaveti, H Singh, S Ostadabbas ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Temporal-controlled frame swap for generating high-fidelity stereo driving data for autonomy analysis Y Luo, X Bai, L Jiang, A Gupta, E Mortin, H Singh, S Ostadabbas arXiv preprint arXiv:2306.01704, 2023 | 1 | 2023 |
| STREAMS: An Assistive Multimodal AI Framework for Empowering Biosignal Based Robotic Controls A Rabiee, S Ghafoori, X Bai, S Ostadabbas, R Abiri arXiv preprint arXiv:2410.03486, 2024 | | 2024 |
| Closing the Gap between Synthetic and Real-World Domains in Autonomous Simulation X Bai Northeastern University, 2023 | | 2023 |
