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Texturify: Generating Textures on 3D Shape Surfaces


Apr 05, 2022
Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai

* Project Page: https://nihalsid.github.io/texturify 

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RetrievalFuse: Neural 3D Scene Reconstruction with a Database


Mar 31, 2021
Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai

* Project Page: https://nihalsid.github.io/retrieval-fuse/ 

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FastDepth: Fast Monocular Depth Estimation on Embedded Systems


Mar 08, 2019
Diana Wofk, Fangchang Ma, Tien-Ju Yang, Sertac Karaman, Vivienne Sze

* Accepted for presentation at ICRA 2019. 8 pages, 6 figures, 7 tables 

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


Jul 03, 2018
Fangchang Ma, Guilherme Venturelli Cavalheiro, Sertac Karaman

* Software: https://github.com/fangchangma/self-supervised-depth-completion . Video: https://youtu.be/bGXfvF261pc . 12 pages, 6 figures, 3 tables 

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


Feb 26, 2018
Fangchang Ma, Sertac Karaman

* accepted to ICRA 2018. 8 pages, 8 figures, 3 tables. Video at https://www.youtube.com/watch?v=vNIIT_M7x7Y. Code at https://github.com/fangchangma/sparse-to-dense 

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Sparse Depth Sensing for Resource-Constrained Robots


Oct 15, 2017
Fangchang Ma, Luca Carlone, Ulas Ayaz, Sertac Karaman

* 35 pages, 31 figures, 2 tables; added new results 

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


Apr 07, 2017
Fangchang Ma, Sertac Karaman

* 22 pages, 11 figures 

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