Junming Zhang

I am currently a Software Engineer at Waymo (formerly Google's self-driving car project), working on localization and building high-quality map for autonomous vehicles.

I hold a Ph.D. from University of Michigan, Ann Arbor in Electrical and Computer Engineering. I was a part of the UM & Ford Center for Autonomous Vehicles (FCAV), where I was advised by Prof. Matthew Johnson-Roberson and Prof. Ram Vasudevan. During my Ph.D., I worked on 3D computer vision. Prior to joining UM, I obtained my BS from Tianjin University and worked with Prof. Sen Wu on atomic force microscopy.

Email / Google Scholar / Github / Linkedin

Research

I'm interested in understanding the 3D environment using techniques from computer vision and machine learning.

	Hyperspherical Embedding for Point Cloud Completion Junming Zhang, Haomeng Zhang, Ram Vasudevan, Matthew Johnson-Roberson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 project / paper / code
	Point Set Voting for Partial Point Cloud Analysis Junming Zhang, Weijia Chen, Yuping Wang, Ram Vasudevan, Matthew Johnson-Roberson IEEE Robotics and Automation Letters, 2021 paper / suppl / code
	Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks Junming Zhang, Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson 3D Vision Conference, 2020 (Oral) paper / suppl
	LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery Junming Zhang, Manikandasriram Srinivasan Ramanagopal, Ram Vasudevan, Matthew Johnson-Roberson IEEE International Conference on Robotics and Automation (ICRA), 2020 paper / suppl
	UWStereoNet: Unsupervised Learning for Depth Estimation and Color Correction of Underwater Stereo Imagery Katherine A Skinner, Junming Zhang, Ram Vasudevan, Matthew Johnson-Roberson International Conference on Robotics and Automation (ICRA), 2019 paper / code
	DispSegNet: Leveraging semantics for end-to-end learning of disparity estimation From stereo imagery Junming Zhang, Katherine A Skinner, Ram Vasudevan, Matthew Johnson-Roberson IEEE Robotics and Automation Letters, 2019 paper / code
	Synthetic Data Generation for Deep Learning of Underwater Disparity Estimation Elizabeth A Olson, Corina Barbalata, Junming Zhang, Katherine A Skinner, Matthew Johnson-Roberson OCEANS 2018 MTS/IEEE Charleston, 2018 paper

Undergrad Reaseach

	Strategies for the AFM-based manipulation of silver nanowires on a flat surface Hongzhi Liu, Sen Wu, Junming Zhang, Huitian Bai, Fan Jin, Hai Pang, Xiaodong Hu Nanotechnology, 2017 paper
	Calibration of the effective spring constant of ultra-short cantilevers for a high-speed atomic force microscope Yunpeng Song, Sen Wu, Linyan Xu, Junming Zhang, Dante J Dornates-Gonzalez, Xing Fu, Xiaodong Hu Measurement Science and Technology, 2015 paper

Thanks for the template opened by Jon Barron