Cindy Wu
![](https://mscvprojects.ri.cmu.edu/2021teamh/wp-content/uploads/sites/53/2021/12/WechatIMG2230-1.jpeg)
Website: https://xindiwu.github.io/
I am a second year master student at CMU’s Master of Science in Computer Vision program. During my undergrad, I was in Computer Science major (Special program for gifted young program) in Xi’an Jiaotong University. My research interest is in Multimodal machine learning, Trustworthy/Robust machine learning and their application in autonomous driving / robots. I had research internship in Megvii(Face++) and Snap Inc. before.
Project responsibilities: Defined the new task and benchmark for map maintenance, evaluating both fidelity and generalization. Leveraged the Argoverse dataset to define a comprehensive and rigorous set of evaluation criteria.
Proposed a contrastive cross-modal approach to dynamic street map construction from camera data. Trained the graph encoder and image encoder with a shared latent space building on recent advances in multimodal representation learning.
Kwun Fung(Raymond) Lau
![](https://mscvprojects.ri.cmu.edu/2021teamh/wp-content/uploads/sites/53/2021/12/kwun-fung_lau_2020.jpg)
Linkedin: https://www.linkedin.com/in/kflau/
I am a second year student at CMU’s Master of Computer Vision program. I received my bachelor’s degree from The Hong Kong Polytechnic University. Before joining the master program, I worked as an algorithm design engineer in the Hong Kong Applied Science and Technology Research Institute for 3 years.
My previous works mainly focus on applied research (i.e. applying computer vision algorithms to solve a use case and to optimize them on a Neural Processing Unit). I am comfortable in programming using C++ (11/14) and Python.
Project responsibilities: Survey sequential based approaches for graph generations(including GraphRNN, molecularRNN, HDMapGen etc), explore the limitations of the current existing sequential based approaches, metrics implementation, dataset/results visualizations and miscellaneous tasks.
Professor Deva Ramanan
![](https://mscvprojects.ri.cmu.edu/2021teamh/wp-content/uploads/sites/53/2021/12/headshot_thumbnail.jpg)
Academic supervisor of this capstone project. Deva is a CMU RI Professor and is a principle scientist at Argo AI and the director of the CMU Argo AI Center for Autonomous Vehicle Research.
Dr. Francesco Ferroni
![](https://mscvprojects.ri.cmu.edu/2021teamh/wp-content/uploads/sites/53/2021/12/Francesco-Ferroni-1.jpg)
Industrial supervisor of this capstone project. Francesco is a Software Engineering Manager II of Detection team at Argo AI.