Hi! I am a fifth-year PhD student at Columbia University, advised by Carl Vondrick. I work on machine learning methods for controlling multimodal generative models, particularly for applications in machine teaching. I previously graduated from the University of Pennsylvania, advised by Jianbo Shi. In my free time, I like to read (my GoodReads) and I recently started a blog.
News
- July 2024: Paper accepted to ECCV 2024!
- April 2024: Gave talks about Evolving Interpretable Visual Classifiers w/ LLMs at Caltech, Berkeley, Stanford and UPenn! Talk link is here.
- Oct 2023: Quo Vadis, Computer Vision? Workshop at ICCV 2023
- July 2023: Paper accepted to ICCV 2023!
- Sept 2022: Paper accepted to Neurips 2022!
- May 2022: Our research is reported on in Science and LeMonde
- April 2022: Paper accepted to ICLR 2022 as an Oral!
Research
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Evolving Interpretable Visual Classifiers with Large Language Models Mia Chiquier, Utkarsh Mall, Carl Vondrick
PaperProject Page
ECCV 2024
Multiparty Perception for Navigation Hui Lu, Mia Chiquier, Carl Vondrick
PaperProject Page
Neurips 2022
Real-Time Neural Voice Camouflage Mia Chiquier, Chengzhi Mao, Carl Vondrick
PaperProject PageScience.orgTalk (12 min)
ICLR 2022 (Oral,Top 1.6%)
The Boombox: Visual Reconstruction from Acoustic Vibrations Boyuan Chen, Mia Chiquier, Hod Lipson, Carl Vondrick
PaperProject Page
CoRL 2021
Adversarial 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
Organizer: Quo Vadis, Computer Vision? Workshop (ICCV 2023)
Workshop OrganizerICCV 2023Reviewer
ICCV 2021, CVPR 2022Columbia UniversityBEARS Mentorship (Spring 2021, Spring 2022)
Undergraduate MentorBarnard CollegeOrganizer: Learning from Unlabeled Video Workshop (CVPR 2021)
Workshop OrganizerCVPR 2023