ICCP 2021 paper posted here
Recent talk: UCLA/Caltech Grundfest Memorial Lecture on connecting our previous work on differential defocus to microscopy – recording below.
Two upcoming talks:
VSS 2021: May 23, Self-Motion Cues in the Natural Habitats of Zebrafish Support Lower Visual Field Bias
A big thank you to VSS for the "travel" award covering conference fees.
I'm co-organizing the virtual CVPR Computational Cameras and Displays Workshop on June 20, 2021, which will be putting out a call shortly for spotlight presentations. If you've done cool work this year on computational sensing or displays, please consider highlighting your work with a short video at this venue! And be sure to catch our exciting speaker line up on the livestream.
Depth from Differential Defocus
Defocus reveals object location in cameras and microscopes. Inspired by the unique anatomy and behavior of the jumping spider, we explore differential defocus changes that enable efficient computation of depth, velocity, and phase. We develop a family of depth sensors for a variety of imaging settings, using standard cameras, deformable lenses, metalenses, and microscopes.
Best Student Paper ECCV 2016, Best Demo ICCP 2018
US Patent Application No. 62/928,929
ICCV Workshop 2015, ECCV 2016, ICCV 2017, IJCV 2017, ICCP Demos 2018, Dissertation 2019, PNAS 2019, ICCP 2021
Optic flow provides key motion cues, but the underlying brightness constancy constraint is often violated in real-world settings. We explore two kinds of mitigation strategies for brightness constancy violations: first, we show that explicit modeling of defocus-based violations can reveal depth and motion simultaneously; next, we explore spatial sampling techniques for robust self-motion estimation in generic and natural scenes, explaining biases found in larval zebrafish brains and behavior.
ECCV 2016, ICCV 2017, VSS 2021
Shape & Color
The human visual system explains pixel-to-pixel changes with a combination of material, geometric, and lighting-based explanations. We show that aligning color changes with shading cues disrupts shape perception, particularly around critical contours.
VSS 2013, VSS 2013, Interface Focus 2018
Teaching & Outreach
I am passionate about sharing the beauty of computational imaging and the math and science that make it work. As a recipient of the Harvard University Certificate of Distinction in Teaching, I have served as head TA for Harvard's undergraduate-level Introduction to the Theory of Computation (CS121) and Mathematical Methods in the Sciences (AM21b, a combined introduction to differential equations and linear algebra), and as a course TA for the graduate-level Computer Vision course (CS283). As an undergraduate, I spent several years as a course tutor for Yale's two-semester Fundamentals of Physics series, covering mechanics and electromagnetism (PHYS200, PHYS201).
In the wider community, I have taught introductory computer skills classes through Tech Goes Home and developed and taught content for elementary schoolers through Bay Area Scientists Inspiring Students.
I have mentored undergraduate students through their personal experiences of diversity and access through Harvard's Women in STEM and Women in Computer Science organizations, as well as through the Berkeley Artificial Intelligence Research undergraduate mentoring program. I have spoken at the Women Engineers Code conference and taught for ProjectCSGirls.
Recorded Talks & Demos
Depth from Defocus and Transport of Intensity Equation - ICCP 2021 - to appear May 25th 2021
Explaining Spatial Biases in Zebrafish Motion Vision - VSS 2021 - to appear May 23rd 2021