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Fangchang Ma
Fangchang Ma
Apple; MIT
Verified email at apple.com - Homepage
Title
Cited by
Cited by
Year
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
5762018
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
4352019
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
3012019
Invertibility of convolutional generative networks from partial measurements
F Ma, U Ayaz, S Karaman
Advances in Neural Information Processing Systems 31, 2018
872018
Generative multiplane images: Making a 2d gan 3d-aware
X Zhao, F Ma, D GŘera, Z Ren, AG Schwing, A Colburn
European Conference on Computer Vision, 18-35, 2022
502022
Sparse sensing for resource-constrained depth reconstruction
F Ma, L Carlone, U Ayaz, S Karaman
2016 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2016
362016
Retrievalfuse: Neural 3d scene reconstruction with a database
Y Siddiqui, J Thies, F Ma, Q Shan, M Nie▀ner, A Dai
Proceedings of the IEEE/CVF International Conference on Computer Visioná…, 2021
272021
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
272019
Texturify: Generating textures on 3d shape surfaces
Y Siddiqui, J Thies, F Ma, Q Shan, M Nie▀ner, A Dai
European Conference on Computer Vision, 72-88, 2022
202022
Hyperdiffusion: Generating implicit neural fields with weight-space diffusion
Z Erkoš, F Ma, Q Shan, M Nie▀ner, A Dai
arXiv preprint arXiv:2303.17015, 2023
142023
On Sensing, Agility, and Computation Requirements for a Data-gathering Agile Robotic Vehicle
F Ma, S Karaman
arXiv preprint arXiv:1704.02075, 2017
52017
Maximum-reward motion in a stochastic environment: The nonequilibrium statistical mechanics perspective
F Ma, S Karaman
Algorithmic Foundations of Robotics XI: Selected Contributions of theá…, 2015
22015
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction
N Stier, A Ranjan, A Colburn, Y Yan, L Yang, F Ma, B Angles
arXiv preprint arXiv:2304.01480, 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
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
2023
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
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion-Supplementary Document
Z Erkoš, F Ma, Q Shan, M Nie▀ner, A Dai
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Articles 1–20