Подписаться
Fangchang Ma
Fangchang Ma
Apple; MIT
Подтвержден адрес электронной почты в домене apple.com - Главная страница
Название
Процитировано
Процитировано
Год
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
7342018
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
5392019
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
3882019
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
1172023
Invertibility of convolutional generative networks from partial measurements
F Ma, U Ayaz, S Karaman
Advances in Neural Information Processing Systems 31, 2018
972018
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
832022
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
682022
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
402016
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
382021
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
372019
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
252023
Pseudo-generalized dynamic view synthesis from a video
X Zhao, A Colburn, F Ma, MA Bautista, JM Susskind, AG Schwing
arXiv preprint arXiv:2310.08587, 2023
112023
On Sensing, Agility, and Computation Requirements for a Data-gathering Agile Robotic Vehicle
F Ma, S Karaman
arXiv preprint arXiv:1704.02075, 2017
52017
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
32023
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
22015
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 1, 2023
12023
Algorithms for single-view depth image estimation
F Ma
Massachusetts Institute of Technology, 2019
12019
Supplementary materials-invertibility of convolutional generative networks from partial measurements
F Ma, U Ayaz, S Karaman
NIPS, 2018
12018
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
В данный момент система не может выполнить эту операцию. Повторите попытку позднее.
Статьи 1–20