Kasey Uhlenhuth, Ari Paul, Nicolas Pelaez, Xiangrui Meng and Ying Xiong. “Supercharge Your Machine Learning Projects With Databricks AutoML.” Databricks Blog Post. [Link]
Peter Welinder, Peter Belhumeur, Ying Xiong, Jongmin Baek, Simon Kozlov, Thomas Berg and David Kriegman. “Live Document Detection in a Captured Video Stream.” Non-provisional patent 15/658,291, filed by Dropbox Inc.
Peter Welinder, Peter Belhumeur, Ying Xiong, Jongmin Baek, Simon Kozlov, Thomas Berg and David Kriegman. “Enhancing Documents Portrayed in Digital Images.” Non-provisional patent 15/658,289, filed by Dropbox Inc.
Ying Xiong. “Fast and Accurate Document Detection for Scanning.” Dropbox Technical Blog Post. [Link]
Peter Welinder, Peter Belhumeur, Ying Xiong, Jongmin Baek, Simon Kozlov, Thomas Berg and David Kriegman. “Detecting and Enhancing Document Images within Digital Photographs.” Provisional patent 62/365,914, filed by Dropbox Inc.
Ying Xiong. “Physics-Based Visual Inference: Theory and Algorithms.” PhD Dissertation. Harvard University, Cambridge, MA, USA. [PDF]
Ayan Chakrabarti, Ying Xiong, Steven J. Gortler and Todd Zickler. “Low-level Vision by Consensus in a Spatial Hierarchy of Regions.” IEEE Conference on Computer Vision and Pattern Recognition. Boston, MA, USA. [PDF] [Supplementary Material] [Project page]
Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs and Todd Zickler. “From Shading to Local Shape.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Volume: 37, Issue: 1. [PDF] [Supplementary Material] [Project page]
Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd Zickler and Kate Saenko. “Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images.” IEEE Transactions on Pattern Analysis and Machine Intelligence. Volume: 36, Issue: 11. [PDF] [Project page]
Anat Levin, Daniel Glasner, Ying Xiong, Fredo Durand, William Freeman, Wojciech Matusik and Todd Zickler. “Fabricating BRDFs at High Spatial Resolution Using Wave Optics.” SIGGRAPH, ACM Transactions on Graphics. Volume: 32, Issue: 4. [PDF] [Project page]
Jing Wang, Guangda Su, Ying Xiong, Jiansheng Chen, Yan Shang, Jiongxin Liu and Xiaolong Ren. “Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment.” Tsinghua Science and Technology. Volume: 18, Issue: 1. [PDF]
Ying Xiong, Kate Saenko, Trevor Darrell and Todd Zickler. “From Pixels to Physics: Probabilistic Color De-rendering.” IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, USA. Oral, Google Student Travel Awards. [PDF] [Slides] [Poster]
Ying Xiong and Yue M. Lu. “Blind Estimation and Low-rate Sampling of Sparse MIMO Systems with Common Support.” IEEE International Conference on Acoustics, Speech, and Signal Processing. Kyoto, Japan. [PDF] [Poster]
Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd Zickler and Trevor Darrell. “Learning Object Color Models from Multi-view Constraints.” IEEE Conference on Computer Vision and Pattern Recognition. Springs, CO, USA. [PDF]
Ying Xiong. “Face Recognition Algorithm based on Lasso.” Undergraduate Thesis. Tsinghua University, Beijing, China. Outstanding Thesis. [PDF]
Ying Xiong and Hui-min Ma. “Extraction and application of 3D Object SIFT Feature.” China Journal of Image and Graphics. Volume: 15, Issue: 5. [PDF]
Ying Xiong and Hui-min Ma. “Application of SIFT Feature in 3D Object Recognition.” Conference on Image and Graphics Technology and Applications. Beijing, China. Outstanding Paper. [PDF]