We invent next-generation visual sensors that could revolutionize human's capability to see the world. In particular, we build visual sensing systems that are unprecedentedly accurate, small, or power efficient through the joint design of optics, electronics, and signal processing computation. We welcome collaborations!

Q Guo, H Tang, A Schmitz, W Zhang, Y Lou, A Fix, S Lovegrove, ... 2024 IEEE 26th International Workshop on Multimedia Signal Processing (MMSP …

Qi Guo, Zhujun Shi, Yao-Wei Huang, Emma Alexander, Cheng-Wei Qiu, Federico Capasso, and Todd Zickler. Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset. [PDF] [Project page] [ Video ] Proc. European Conference on Computer Vision (ECCV), 2018.

Qi Guo received a B.E. in automation from Tsinghua University, Beijing, China, in 2015 and an M.S. and Ph.D. in electrical engineering from Harvard University, Cambridge, Massachusetts, in 2018 and 2021. He has been an assistant professor at the Elmore Family School of Electrical and Computer Engineering at Purdue University since 2022.

Computational sensing, computer vision, machine learning, optics. Current focus: inventing visual sensors using bio-inspiration and novel optics such as metasurfaces. Outstanding reviewer at CVPR 2019. Best Demo Award at ICCP 2018. Certi cate of Distinction in Teaching, Harvard University, 2016. Best Student Paper Award at ECCV 2016.

Xi'an Jiaotong University, National University of Singapore.

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software … 2015 IEEE 17th International Conference on High Performance Computing and …

I am a full professor at the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). My research interests generally lie in a broad range of computer architecture and artificial intelligence.

I do science research and product development of generating visually realistic and physically reliable digital contents (e.g. images, videos, and 3D content) through artificial intelligence and first principles. My interests include generative artificial intelligence and computational physics.

Designed a novel magnetosensory power device based on AlGaN/AlN/GaN heterojunction. Its output power can be significantly modulated by the external magnetic field. Fabricated the device with micro-nano processes from epitaxial wafers. The 2DEG concentration is 1.2E13/cm2, and the maximum output power density reaches 8.6 KW/cm2.