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Research Statement
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
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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.
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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.
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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.
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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
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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
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Jiang, C., Huang, J., Kashinath, K., Marcus, P., & Nießner, M. (2019). Spherical CNNs on Unstructured Grids. ICLR 2019.
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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.
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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).
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Huang, J., Dai, A., Guibas, L., & Nießner, M. (2017). 3Dlite: towards commodity 3D scanning for content creation. ACM Transactions on Graphics, 2017.
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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.
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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.
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Quigley E, Yu Y, Huang J, et al. Real-time Interactive Tree Animation[J]. IEEE Transactions on Visualization and Computer Graphics, 2017.
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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.
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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.
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