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UID:2026-02-06-abe-davis@cail.columbia.edu
DTSTAMP:20260823T061459Z
DTSTART:20260206T180000Z
DTEND:20260206T190000Z
SUMMARY:Vision Seminar: Abe Davis - Lawless Progress on Wicked Problems: B
 lending Technical Innovation & Interdisciplinary Design to Explore New Opp
 ortunities in the Age of AI
LOCATION:CEPSR 620
DESCRIPTION:Most recent advances in AI and visual computing have been driv
 en by techniques that favor learning from large datasets over more direct 
 applications of domain knowledge. Such techniques can be incredibly powerf
 ul\, but also less interpretable and harder to predict\, complicating many
  of the abstractions that have supported progress in computer science for 
 the past several decades. In this talk\, I will discuss how this has creat
 ed significant new opportunities for research that blends technical innova
 tion design methodologies to tackle problems at the intersection of differ
 ent disciplines.\n\nNew Opportunities for Interaction Design:  I will disc
 uss some of my group’s work that integrates learning and optimization in
 to the design of interactive tools. More specifically\, looking at interac
 tive tools that take new approaches to human-in-the-loop learning.\n\nCust
 om\, Precise\, & Efficient Data Capture: Abundant sources of data tend to 
 have very biased sampling\, which limits the impact of data-driven methods
  in domains that depend on scarce or highly specific distributions of data
 —e.g.\, applications in healthcare\, infrastructure\, and the sciences. 
 I’ll discuss my group’s work on using mobile devices to more easily de
 ploy and scale customizable data collection protocol in uncontrolled envir
 onments.\n\nVideo Forensics and Noise-Coded Illumination: Video forensics 
 in completely general settings (i.e.\, the problem of determining if a com
 pletely arbitrary video is fake or manipulated) is almost hopeless in the 
 long term. However\, if we approach forensic analysis as a design problem 
 and allow ourselves to build systems that address more specific settings\,
  we can develop solutions with real long-term practical potential. I will 
 discuss my group’s work on noise-coded illumination (NCI) as one example
  of this where\, by encoding subtle watermarks into the illumination of a 
 given environment\, we can create a significant information advantage for 
 forensic verification of video captured in that environment.\n\nhttps://ca
 il.columbia.edu/events/2026-02-06-abe-davis
URL:https://cail.columbia.edu/events/2026-02-06-abe-davis
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