ABOUT THE EPISODE

In this episode of SIGGRAPH Spotlight, SIGGRAPH 2025 Technical Papers Test-of-Time Awards Chair Sylvain Paris catches up with two of this year’s Test-of-Time award winners: Kavita Bala (“Learning Visual Similarity for Product Design With Convolutional Neural Networks”, 2015) and Hui Huang (“L1-Medial Skeleton of Point Cloud”, 2013). The guests share why they think their research has withstood the test of time, advancements in 3D graphics, and advice for other researchers who aspire to make lasting contributions to the body of computer graphics knowledge. 

MUSIC 
Podcast theme, "SIGGRAPH," composed by Julius Dobos. 

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LINKS 
*Episode*
https://blog.siggraph.org/2025/06/siggraph-2025-technical-papers-awards-best-papers-honorable-mentions-and-test-of-time.html/ | https://dl.acm.org/doi/10.1145/2766959 | https://dl.acm.org/doi/10.1145/2461912.2461913 

*Social Media* 
http://blog.siggraph.org/ | https://www.facebook.com/SIGGRAPHConferences | https://twitter.com/siggraph | https://www.youtube.com/user/ACMSIGGRAPH | https://www.instagram.com/acmsiggraph/ | https://www.linkedin.com/company/acm-siggraph/   

*Conference Website* 
https://s2025.siggraph.org/ | https://s2025.siggraph.org/register/ |  https://s2025.conference-schedule.org/


90 – Kavita Bala and Hui Huang on Influential Computer Graphics Research

SIGGRAPH Spotlight is a podcast that explores cutting-edge projects and topics in computer graphics and interactive techniques, one episode at a time. Episodes are hosted by ACM SIGGRAPH leaders and feature experts spanning everything from animation and visual effects to engineering and virtual reality. 

This show was founded as an extension of ACM SIGGRAPH's annual conference.