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Tiancheng Zhi
Research Scientist at ByteDance |
About Me
- I'm a research scientist at ByteDance Intelligent Creation Lab.
- Before joining ByteDance, I was a PhD student at Computer Science Department, Carnegie Mellon University, co-advised by Prof. Srinivasa Narasimhan and Prof. Martial Hebert.
- Prior to coming to CMU, I earned my B.S. Degree from School of EECS, Peking University in 2016, under the supervision of Prof. Ling-Yu Duan.
- My research interest lies at the intersection of computer vision and computer graphics. Previously I worked on material understanding and multispectral imaging. Currently I mainly focus on topics of 3D deep learning and virtual human.
- Internships: I am always looking for strong graduate students to collaborate with. If you are interested in interning at ByteDance/TikTok with me, send me an email detailing what your research interests are, and what you would like to work on during the internship.
Publications
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AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging Shen Sang, Tiancheng Zhi, Guoxian Song, Minghao Liu, Chunpong Lai, Jing Liu, Xiang Wen, James Davis, Linjie Luo ACM SIGGRAPH Asia Conference (SIGGRAPH Asia Conference Track), 2022. [Paper] |
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Learning Continuous Implicit Representation for Near-Periodic Patterns Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan European Conference on Computer Vision (ECCV), 2022. [Paper] [Code] |
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Semantically Supervised Appearance Decomposition for Virtual Staging from a Single Panorama Tiancheng Zhi, Bowei Chen, Ivaylo Boyadzhiev, Sing Bing Kang, Martial Hebert, Srinivasa G. Narasimhan ACM Transactions on Graphics (SIGGRAPH Journal Track), 2022. [Paper] [Project] [Code] |
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TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo European Conference on Computer Vision (ECCV), 2020. [Paper] [Project] [Talk] [Data (please contact Minh Vo)] |
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Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Oral Presentation [Paper] [Project] [Code] [SWIRPowder Dataset] [Supp] [Talk] [Poster] |
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Deep Material-aware Cross-spectral Stereo Matching Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [Paper] [Project] [Code(v2)] [PittsStereo Dataset] [Supp] [Video] [Poster] |
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Real-time, Short-wave, Infrared Hyperspectral Conforming Imaging Sensor for the Detection of Threat Materials Matthew P. Nelson, Shawna K. Tazik, Patrick J. Treado, Tiancheng Zhi, Srinivasa Narasimhan, Bernardo Pires, Martial Hebert SPIE Commercial + Scientific Sensing and Imaging, 2018. [Paper] |
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Two-stage Pooling of Deep Convolutional Features for Image Retrieval Tiancheng Zhi, Ling-Yu Duan, Yitong Wang, Tiejun Huang IEEE International Conference on Image Processing (ICIP), 2016. [Paper] [Poster] |
Presentations
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Add Me to the Painting Tiancheng Zhi, Yanzhe Yang Artificial Intelligence: Representation and Problem Solving Course, 2016. [Poster] |
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Understanding Neural Representations in Early Visual Areas using Convolutional Neural Networks Yimeng Zhang, Corentin Massot, Tiancheng Zhi, George Papandreou, Alan Yuille, Tai Sing Lee Neuroscience (SfN), 2016. [Poster] |