I am an Assistant Research Professor at Johns Hopkins University, affiliated with the Mathematical Institute for Data Science (MINDS). I obtained my BS/MS in Electrical Engineering from the University of Maryland, College Park in 2018, did some start-up venture for a couple of years, came back and got my PhD at Johns Hopkins with Prof. Rama Chellappa in 2023.Â
I am broadly interested in Computer Vision and its various applications, particularly in 3D. My work have mainly focused on high quality, high resolution 3D reconstruction both from natural images (Neural Radiance Field, 3D Gaussian Splatting, etc.) and medical images (Computed Tomography, Magnetic Resonance Imaging, etc.). I am fascinated by novel algorithms that can recover signals/patterns beyond normal human perception, and the ability to use them to benefit society, e.g. in site modeling, urban planning, robotics, medical analysis, surgery, etc. I have also done some work on image analysis tasks, e.g. segmentation, detection, re-ID, etc.
I am the project lead and a co-PI on the JHU team that participates in WRIVA, which is a large scale, multi-university effort at leveraging 3D reconstruction for robust site modeling. I am grateful for the opportunity to be working with world class researchers such as Ravi, Hao, Manjunath, Shiv, Matthias, Abhinav, Tom, Ashok, Guha, Vishal, Deliang, and their amazing students. I am also thankful to collaborations with Kevin Zhou and Daguang Xu on 3D medical imaging.Â
For those interested, I have organized a tutorial on 2D-3D modelling in medical imaging in MICCAI 2021. I am also organizing a workshop on natural image 3D reconstruction in WACV 2025. Please refer to my Research Statement for a quick overview of what I've done in the past.Â
Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan L. Yuille, and Jieneng Chen
Technical Report
Kaiwen Jiang, Venkataram Sivaram, Cheng Peng, Ravi Ramamoorthi
Under Review
Yutao Tang* , Yuxiang Guo* , Deming Li , Cheng Peng
Under Review
Xijun Liu, Yifan Zhou, Yuxiang Guo, Rama Chellappa, Cheng Peng
WACV2025 ULTRRA Workshop
Neil Joshi, Joshua Carney, Nathanael Kuo, Homer Li, Cheng Peng, Myron Brown
WACV2025 ULTRRA Workshop
Yuxiang Guo, Anshul Shah, Jiang Liu, Ayush Gupta, Rama Chellappa, Cheng Peng
WACV 2025
Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng
WACV 2025
Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
NIPS 2024
Cheng Peng*, Yutao Tang*, Yifan Zhou, Nengyu Wang, Xijun Liu, Deming Li, Rama Chellappa
ECCV 2024
Deblurred 3D Radiance Field
Blurry 2D Source Views
Cheng Peng, Rama Chellappa
AAAI 2023
Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa
MICCAI 2022 (Oral)
Cheng Peng*, Haofu Liao*, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa
AAAI 2021
Cheng Peng, S. Kevin Zhou, Rama Chellappa
MICCAI 2021
Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, Shaohua Kevin Zhou
CVPR 2020