Shuqin Xie

LinkedIn: https://www.linkedin.com/in/shuqinxie/

I am a second year MSCV student at CMU. I obtained my bachelor degree from Shanghai Jiao Tong University. Prior to CMU, I spent one year interning at Uber ATG Toronto working on an open-set instance segmentation problem. I also interned at Nvidia self-driving group in the summer of 2021. I will join Cruise as a machine learning engineer starting from Feb 2022.

My past experiences focus on perception related tasks. I am familiar with human pose estimation, object detection and instance segmentation.

Project responsibilities: survey, point-cloud-based method for the 3D radar dataset, landmark detection for the end-to-end odometry model, factor graph optimization, slides making and presentation, and other miscellaneous items.

Dongfeng Yu

LinkedIn: https://www.linkedin.com/in/dfyu/

I am a second year student at CMU’s MSCV program. I received my bachelor’s degree in computer science from Shanghai Jiao Tong University. I have worked at Yitu Technology as a machine learning engineer for two years. I was also an intern at Aurora Innovation’s perception team in the summer of 2021. I will join NVIDIA’s TensorRT team after graduation.

My previous works include medical image analysis, face recognition, person re-id and large-scale distributed model training. I am familiar with C++ and Python.

Project responsibilities: survey, learning-based odometry for the 2D radar dataset, end-to-end odometry for the 3D radar dataset, slides making and presentation, and other miscellaneous things.