
I am a third-year PhD student at Columbia University advised by Carl Vondrick. I am interested in building machines that leverage multimodal signals (e.g. vision, vibration, audio) and natural transformations in the physical world to creatively perceive and interact with their environment. My research is supported by the Columbia Center of Artifical Intelligence & Technology (CAIT) & Amazon Science Ph.D. Fellowship.
I previously graduated from the University of Pennsylvania advised by Jianbo Shi, with a BA in Computer Science, and minors in Math, Computational Neuroscience, and Systems Eng. In my free time I play with art projects, make useless but beautiful datasets (see Reflections),read (my GoodReads), play piano, and sometimes, scuba dive.
Research
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Multiparty Perception for Navigation Hui Lu, Mia Chiquier, Carl Vondrick
PaperProject Page
Neurips 2022Real-Time Neural Voice Camouflage Mia Chiquier, Chengzhi Mao, Carl Vondrick
PaperProject Page
ICLR 2022 (Oral,Top 1.6%)The Boombox: Visual Reconstruction from Acoustic Vibrations Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick
PaperProject Page
CoRL 2021Adversarial Attacks are Reversible with Natural Supervision Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick
Paper
ICCV 2021Teaching/Service
Courses
Advanced Computer Vision (COMS 4731, Summer 2021)
Head Teaching AssistantColumbia UniversityDynamical Systems (ESE 210, Fall 2019)
Head Teaching AssistantUniversity of PennsylvaniaService
Reviewer
ICCV 2021, CVPR 2022Columbia UniversityBEARS Mentorship (Spring 2021, Spring 2022)
Undergraduate MentorBarnard CollegeOrganizer: Learning from Unlabeled Video Workshop (CVPR 2021)
Workshop OrganizerColumbia University