I am a Senior Research Scientist in the team of Creative Algorithms and Technology at Netflix. Before that, I worked as a postdoctoral researcher in the Vision & Graphics Lab at USC Institute for Creative Technologies from 2019 to 2021. I obtained my Ph.D. degree from Computer Science & Engineering, Hong Kong University of Science and Technology (HKUST) in 2018, and received my M.S. and B.E. degreed from Zhejiang University (ZJU) in 2014 and 2011, respectively. I was a research intern in the Visual Computing Group at Microsoft Research Asia from 2017 to 2018.

My research interests lie in Computer Graphics and Computer Vision, mainly focusing on computational photography and visual synthesis.

Publications

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. Paper | Code (Coming soon) | Project Page

Cross-Domain and Disentangled Face Manipulation with 3D Guidance Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022. Paper | Code | Project Page

DenseGAP: Graph-Structured Dense Correspondence Learning with Anchor Points Zhengfei Kuang, Jiaman Li, Mingming He*, Tong Wang, Yajie Zhao (*Corresponding author) International Conference on Pattern Recognition (ICPR), 2022. Paper | Code (Coming soon) | Project Page

DisUnknown: Distilling Unknown Factors for Disentanglement Learning Sitao Xiang, Yuming Gu, Pengda Xiang, Menglei Chai, Hao Li, Yajie Zhao, Mingming He* (*Corresponding author) IEEE International Conference on Computer Vision (ICCV), 2021. Paper | Code | Project Page

Exemplar-Based 3D Portrait Stylization Fangzhou Han, Shuquan Ye, Mingming He, Menglei Chai, Jing Liao IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021. Paper | Project Page

Efficient Semantic Image Synthesis via Class-Adaptive Normalization Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. Paper | Code

Dynamic Facial Asset and Rig Generation from a Single Scan Jiaman Li, Zhengfei Kuang, Yajie Zhao, Mingming He, Karl Bladin, Hao Li ACM Transactions on Graphics (TOG), SIGGRAPH Asia 2020. Paper | Project Page

One-Shot Identity-Preserving Portrait Reenactment Sitao Xiang, Yuming Gu, Pengda Xiang, Mingming He, Koki Nagano, Haiwei Chen, Hao Li arXiv, 2020. Paper

Protecting World Leaders Against Deep Fakes Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, Hao Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019. Paper

Deep Exemplar-based Video Colorization Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper | Code | Video

Gated Context Aggregation Network for Image Dehazing and Deraining Dongdong Chen, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, Gang Hua IEEE Winter Conference on Applications of Computer Vision (WACV), 2019. Paper | Code

Progressive Color Transfer with Dense Correspondence Mingming He, Jing Liao, Dongdong Chen, Lu Yuan, Pedro V. Sander ACM Transactions on Graphics (TOG), 2019. Paper | Code | Supplementary

Deep Exemplar-based Colorization Mingming He*, Dongdong Chen*, Pedro V. Sander, Lu Yuan (*Equal contribution) ACM Transactions on Graphics (TOG), SIGGRAPH 2018. Paper | Code (Main) | Code (Retrieval) | Supplementary

Gigapixel Panorama Video Loops Mingming He, Jing Liao, Pedro V. Sander, Hugues Hoppe ACM Transactions on Graphics (TOG), 2017. Paper | Project | Code (Viewer) | Video

Professional Activities

Teaching