My name is Zixuan Huang (pronounced as Zi-Shwan Hwung), currently a first-year PhD student working with Professor Jim Rehg at Georgia Institute of Technology. I got my masters degree at University of Wisconsin-Madison, where I was fortunate to work with Professor Yin Li. I received my B.E. in the Special Class for Gifted Young from University of Science and Technology of China (USTC) in 2018, supervised by Professor Nenghai Yu.
My primary research interest is computer vision, with a focus on weakly supervised learning and 3D shape reconstruction. By inducing priors that humans utilize into deep neural networks, I hope to understand the learning of our deep models better and to enable the models to understand visual data with minimal human supervision.
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang, Yin Li
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, oral presentation), 2020.
[arXiv] [code] [project] [slides] [video]
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion
Zixuan Huang, Junming Fan, Shenggan Cheng, Shuai Yi, Xiaogang Wang, Hongsheng Li
IEEE Trans. on Image Processing (TIP), 2019.