| Sparse-to-dense: Depth prediction from sparse depth samples and a single image F Ma, S Karaman 2018 IEEE International Conference on Robotics and Automation (ICRA), 1-8, 2018 | 679 | 2018 |
| Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera F Ma, GV Cavalheiro, S Karaman 2019 International Conference on Robotics and Automation (ICRA), 3288-3295, 2019 | 506 | 2019 |
| Fastdepth: Fast monocular depth estimation on embedded systems D Wofk, F Ma, TJ Yang, S Karaman, V Sze 2019 International Conference on Robotics and Automation (ICRA), 6101-6108, 2019 | 352 | 2019 |
| Invertibility of convolutional generative networks from partial measurements F Ma, U Ayaz, S Karaman Advances in Neural Information Processing Systems 31, 2018 | 92 | 2018 |
| Hyperdiffusion: Generating implicit neural fields with weight-space diffusion Z Erkoç, F Ma, Q Shan, M Nießner, A Dai Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 75 | 2023 |
| Generative multiplane images: Making a 2d gan 3d-aware X Zhao, F Ma, D Güera, Z Ren, AG Schwing, A Colburn European conference on computer vision, 18-35, 2022 | 74 | 2022 |
| Texturify: Generating textures on 3d shape surfaces Y Siddiqui, J Thies, F Ma, Q Shan, M Nießner, A Dai European Conference on Computer Vision, 72-88, 2022 | 54 | 2022 |
| Sparse sensing for resource-constrained depth reconstruction F Ma, L Carlone, U Ayaz, S Karaman 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 38 | 2016 |
| Sparse depth sensing for resource-constrained robots F Ma, L Carlone, U Ayaz, S Karaman The International Journal of Robotics Research 38 (8), 935-980, 2019 | 33 | 2019 |
| Retrievalfuse: Neural 3d scene reconstruction with a database Y Siddiqui, J Thies, F Ma, Q Shan, M Nießner, A Dai Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 32 | 2021 |
| Finerecon: Depth-aware feed-forward network for detailed 3d reconstruction N Stier, A Ranjan, A Colburn, Y Yan, L Yang, F Ma, B Angles Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Pseudo-Generalized Dynamic View Synthesis from a Video X Zhao, RA Colburn, F Ma, MÁ Bautista, JM Susskind, A Schwing The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| On Sensing, Agility, and Computation Requirements for a Data-gathering Agile Robotic Vehicle F Ma, S Karaman arXiv preprint arXiv:1704.02075, 2017 | 5 | 2017 |
| StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D P Guo, H Hao, A Caccavale, Z Ren, E Zhang, Q Shan, A Sankar, ... arXiv preprint arXiv:2312.02189, 2023 | 3 | 2023 |
| Maximum-reward motion in a stochastic environment: The nonequilibrium statistical mechanics perspective F Ma, S Karaman Algorithmic Foundations of Robotics XI: Selected Contributions of the …, 2015 | 2 | 2015 |
| Algorithms for single-view depth image estimation F Ma Massachusetts Institute of Technology, 2019 | 1 | 2019 |
| Supplementary materials-invertibility of convolutional generative networks from partial measurements F Ma, U Ayaz, S Karaman NIPS, 2018 | 1 | 2018 |
| Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today? X Zhao, A Colburn, F Ma, MA Bautista, JM Susskind, AG Schwing arXiv preprint arXiv:2310.08587, 2023 | | 2023 |
| On maximum-reward motion in stochastic environments F Ma Massachusetts Institute of Technology, 2015 | | 2015 |
| Velocity estimator via fusing inertial measurements and multiple feature correspondences from a single camera G Zhou, F Ma, Z Li, T Wang Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on, 2013 | | 2013 |
Sertac KaramanProfessor of Aeronautics and Astronautics, Massachusetts Institute of TechnologyVerified email at mit.edu
