Yunqian Cheng
Ph.D. Student in Computer Science
Computer Vision Lab, University of California - Santa Cruz
I am a third-year Ph.D. student at the University of California - Santa Cruz, advised by Roberto Manduchi. My research focus on 3D Vision, Indoor Localization, and Human-Computer Interaction. I am also interested in their application in AR/VR/MR and assistive technologies. Prior to joining UCSC, I completed my BS in Informatics degree at the University of Washington - Seattle.
News
11/20/2024
Presenting work at the 4th Southwest Fire Ecology Conference
We will be presenting our work with Ai2's Wildlands team: Auto-photoload: Automating fine woody fuel load estimation using computer vision, at the 4th Southwest Fire Ecology Conference in Santa Fe.
10/17/2024
Best Presentation Award at IPIN 2024
Our presentation of the paper "PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones" has received the Best Presentation award at IPIN 2024 - the 14th International Conference on Indoor Positioning and Indoor Navigation in Hong Kong!
09/19/2024
Work presented at NOAA AI Workshop
Presented our work at Ai2 on using deep learning to automate the Photoload sampling technique for forest fire management at the 6th NOAA AI Workshop. (I took Patrick Johnson's time slot)
07/29/2024
Paper accepted to IPIN 2024
We are excited to share that our paper "PALMS: Plane-based Accessible Indoor Localization Using Mobile Smartphones" has been accepted by IPIN 2024 - the 14th International Conference on Indoor Positioning and Indoor Navigation in Hong Kong.
Interested Topics
3D Scene Understanding
Understanding the world around us using camera, LiDAR, etc.
This include localization, object detection, logical reasoning with common-sense, and representing these information with human-interpretable natural language.
Assistive Technology for Visually Impaired
Algorithms and devices in the forms of Smart glasses, Smart phone apps, etc. that are built for fostering independent living of blind and visually impaired (BVI) people.
AR/VR/MR
Bringing the digital world into reality... or the other way around.
I am especially interested in AR/MR's ability to bring more information into the real world
3D Reconstruction
Sparse-View Reconstruction and its application in creating 3D assets at scale.
Related Courses
University of California - Santa Cruz
Computer Vision, Computer Graphics, Natural Language Processing, Machine Learning, Artificial Intelligence, Linear Algebra, Responsible Data Science, Software Reuse and Component-Based Software Engineering, Analysis of Algorithms, Distributed Systems
University of Washington - Seattle
Computer Vision, Deep Learning, Research Methods, Data Structure and Algorithms, Software Architecture for Interactive Systems, Advanced Matrix Algebra, Intro to Database Systems, Elements of Statistical Methods, Design Methods,
Contact
If you are interested in collaborations or providing work opportunities, please contact me using the following
Work: cyqppwork@hotmail.com
UCSC: ychen827@ucsc.edu
(586) 940-0968