Zhanghao Sun

I am a 5th year PhD student at Electrical Engineering, Stanford University. I work mainly in the field of computational imaging hardware and algorithms. I'm advised by Prof. Olav Solgaard, and co-advised by Prof. Gordon Wetzstein.

In Summer 2019, I worked as an algorithm engineer intern at Adaps, a startup that manufactures direct time-of-flight (dToF) sensors. In Summer 2021, I worked as a research intern at Snapchat, computational imaging team. In Summer 2022, I worked as a research intern at Meta Reality Labs, on-device computer vision team. I'm currently a part-time student reseacher in this team.

Email / CV / Google Scholar / Linkedin / Github

Selected Publications

	Consistent Direct Time-of-Flight Video Depth Super-Resolution Zhanghao Sun, Wei Ye, Jinhui Xiong, Gyeongmin "Chris" Choe, Jialiang Wang, Shuochen Su, Rakesh Ranjan CVPR, 2023 paper supplementary project code video We propose algorithm and dataset for high accuracy, temporally consistent time-of-flight video depth super-resolution.
	Energy-Efficient Adaptive 3D Sensing Brevin Tilmon, Zhanghao Sun, Sanjeev Koppal, Yicheng Wu, Georgios Evangelidis, Ramzi Zahreddine, Guru Krishnan, Sizhuo Ma, Jian Wang CVPR, 2023 project code We propose energy-efficient and eye-safe active 3D sensor with parallel adaptive sampling.
Click to view difference	Seeing Far in the Dark with Patterned Flash Zhanghao Sun, Jian Wang, Yicheng Wu, Shree Nayar ECCV, 2022 paper supplementary poster code video Our proposed novel flash pattern shows significantly better imaging quality at long distances in low-light environments.


Click to view difference	Structured Light with Redundancy Codes Zhanghao Sun, Yu Zhang, Yicheng Wu, Dong Huo, Yiming Qian, Jian Wang arXiv, 2022 arXiv We adopt redundancy coding from the communication system to improve the robustness of the structured light system.


	Transparent Camera Jian Wang, Zhanghao Sun, Dejia Xu ICCP, 2022 (Best Poster Award)* poster We proposed the transparent camera prototype with potential application in mobile devices.
	Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networks Sunil Pai, Zhanghao Sun, Tyler W Hughes, Taewon Park, Ben Bartlett, Ian Williamson, Momchil Minkov, Maziyar Milanizadeh, Nathnael Abebe, Francesco Morichetti, Andrea Melloni, Shanhui Fan, Olav Solgaard, David Miller. Science, 2023 paper code For the first time, we realized neural network back-propagation in the optics (photonics) domain.
	Resonant scanning design and control for fast spatial sampling Zhanghao Sun, Ronal Quan, Olav Solgaard Scientific Reports, 2021 CLEO (Oral), 2021 journal conference code Fast, adaptive spatial sampling with resonant scanner for better machine perception and localization.




	SPADnet: deep RGB-SPAD sensor fusion assisted by monocular depth estimation Zhanghao Sun, David Lindell, Olav Solgaard, Gordon Wetzstein Optics Express, 2020 paper project code We propose a neural network solution to fuse monocular depth and metric depth from noisy dToF sensors.