Fangchang Ma

According to our database, Fangchang Ma authored at least 16 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

StableDreamer: Taming Noisy Score Distillation Sampling for Text-to-3D.

Pengsheng Guo, Hans Hao, Adam Caccavale, Zhongzheng Ren, Edward Zhang, Qi Shan, Aditya Sankar, Alexander G. Schwing, Alex Colburn, Fangchang Ma

CoRR, 2023

Is Generalized Dynamic Novel View Synthesis from Monocular Videos Possible Today?

Xiaoming Zhao, Alex Colburn, Fangchang Ma, Miguel Ángel Bautista, Joshua M. Susskind, Alexander G. Schwing

CoRR, 2023

FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction.

Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang, Fangchang Ma, Baptiste Angles

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion.

Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Generative Multiplane Images: Making a 2D GAN 3D-Aware.

Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn

Proceedings of the Computer Vision - ECCV 2022, 2022

Texturify: Generating Textures on 3D Shape Surfaces.

Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

RetrievalFuse: Neural 3D Scene Reconstruction with a Database.

Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Sparse depth sensing for resource-constrained robots.

Fangchang Ma, Luca Carlone, Ulas Ayaz, Sertac Karaman

Int. J. Robotics Res., 2019

FastDepth: Fast Monocular Depth Estimation on Embedded Systems.

Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze

Proceedings of the International Conference on Robotics and Automation, 2019

Self-Supervised Sparse-to-Dense: Self-Supervised Depth Completion from LiDAR and Monocular Camera.

Fangchang Ma, Guilherme Venturelli Cavalheiro, Sertac Karaman

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Invertibility of Convolutional Generative Networks from Partial Measurements.

Fangchang Ma, Ulas Ayaz, Sertac Karaman

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image.

Fangchang Ma, Sertac Karaman

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

On Sensing, Agility, and Computation Requirements for a Data-gathering Agile Robotic Vehicle.

Fangchang Ma, Sertac Karaman

CoRR, 2017

2016

Sparse sensing for resource-constrained depth reconstruction.

Fangchang Ma, Luca Carlone, Ulas Ayaz, Sertac Karaman

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2014

Maximum-Reward Motion in a Stochastic Environment: The Nonequilibrium Statistical Mechanics Perspective.

Fangchang Ma, Sertac Karaman

Proceedings of the Algorithmic Foundations of Robotics XI, 2014

2013

Velocity estimator via fusing inertial measurements and multiple feature correspondences from a single camera.

Guyue Zhou, Fangchang Ma, Zexiang Li, Tao Wang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013