Jingwei Huang

personal page

Research interests

My research interests are computer graphics, computer vision, virtual reality and geometry processing. After involving in projects from different areas in graphics and vision, I determined to focus on RGB-D SLAM and Real-time reconstruction in order to produce read-to-use high-quality scanning geometry. My ultimate goal is to effectively recognize the scanning data in a higher level. Towards the goal, I believe that it is essential to bridge two fields --- computer vision and computer graphics, where the former focuses on visual SLAM and the latter on geometrical data analysis and synthesis. To achieve the goal of producing high-quality geometry, we need high-quality texture and clean geometry. I contributed to the 3D geometry texture synthesis component of the "unsupervised texture synthesis" project. Now, I am working on the "3DLite" system to get clean geometry with good planar abstraction.

Recent publications

(All the publications are available on the personal page linked above)
J. Huang, J. Thies, A. Dai, A. Kundu, C. Jiang, L. Guibas, M. Niessner, and T. Funkhouser, Adversarial texture optimization from RGB-D scans, Computer Vision and Pattern Recognition (CVPR) 2020.   
C. Jiang, A. Sud, A. Makadia, J. Huang, M, Niessner, and T. Funkhouser. Learning Local Implicit Grid Representation for 3D Scenes, Computer Vision and Pattern Recognition (CVPR) 2020.   
Huang, J., Zhou, Y., Funkhouser, T., & Guibas, L. (2019). FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image. International Conference on Computer Vision (ICCV), 2019.   
Huang, J., Zhang, H., Yi, L., Funkhouser, T., Nießner, M., & Guibas, L. (2018). TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. Computer Vision and Pattern Recognition (CVPR), 2019   
Wang, H., Sridhar, S., Huang, J., Valentin, J., Song, S., & Guibas, L. J. (2019). Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. Computer Vision and Pattern Recognition (CVPR), 2019   
Jiang, C., Huang, J., Kashinath, K., Marcus, P., & Nießner, M. (2019). Spherical CNNs on Unstructured Grids. ICLR 2019.   
Jiang, C., Wang, D., Huang, J., Marcus, P., & Nießner, M. (2019). Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. ICLR 2019.   
Huang, J., Zhou, Y., Niessner, M., Shewchuk, J. R., & Guibas, L. J. (2018, August). QuadriFlow: A Scalable and Robust Method for Quadrangulation. In Computer Graphics Forum (Vol. 37, No. 5, pp. 147-160).   
Huang, J., Dai, A., Guibas, L., & Nießner, M. (2017). 3Dlite: towards commodity 3D scanning for content creation. ACM Transactions on Graphics, 2017.   
Huang J, Chen Z, Ceylan D, et al. 6-DOF VR videos with a single 360-camera[C]//Virtual Reality (VR), 2017 IEEE. IEEE, 2017: 37-44.   
Wang T Y, Su H, Huang Q, et al. Unsupervised texture transfer from images to model collections[J]. ACM Trans. Graphics (TOG), 2016, 35(6): 177.   
Quigley E, Yu Y, Huang J, et al. Real-time Interactive Tree Animation[J]. IEEE Transactions on Visualization and Computer Graphics, 2017.   
Huang J, Chen H, Wang B, et al. Automatic thumbnail generation based on visual representativeness and foreground recognizability[C]//Proceedings of the IEEE International Conference on Computer Vision. 2015: 253-261.   
Huang J, Wang B, Wang W, et al. A surface approximation method for image and video correspondences[J]. IEEE Transactions on Image Processing, 2015, 24(12): 5100-5113.