- Smithsonian: The Computer Scientist Who Wants to Put a Name to Every Face in Civil War Photographs
- Roanoke Times: A Civil War find of a high tech kind
- Fox News: AI could help identify Civil War veterans in your family (with video)
- American Way (p. 32): Naming Private Ryan
- Popular Mechanics: AI Could Help You Identify Civil War Vets in Your Family Tree
- Voice of America: With the help of artificial intelligence, we will recognize the heroes of the war in person (Russian-language video)
- Constant Wonder/BYU Radio: Civil War Photo Sleuth (radio/podcast)
- Virginia Tech News: Researcher releases facial recognition software to identify Civil War soldiers
- illumiNation: Portraits of the Past
Our paper, “Photo Sleuth: Combining Human Expertise and Face Recognition to Identify Historical Portraits,” received the Best Paper Award at IUI 2019 in Los Angeles, CA. This award recognized the best paper among 282 submissions. Congratulations to lead author Vikram Mohanty (CS Ph.D. student), David Thames (CS undergraduate), and Sneha Mehta (CS Ph.D. student). A video of the talk (presented by Dr. Luther is embedded below.
Dr. Luther gave an invited presentation, titled “Civil War Photo Sleuthing: Past, Present, and Future” at Civil War Photo Talks in Arlington, VA, co-sponsored by Military Images Magazine and Civil War Faces. Other invited speakers included Ann Shumard, National Portrait Gallery; Micah Messenheimer, Library of Congress; Bryan Cheeseboro, National Archives; and Rick Brown, Military Images. The abstract for Dr. Luther’s talk was as follows:
People have struggled to identify unknown soldiers and sailors in Civil War photos since even before the war ended. In this talk, I trace the 150-year history of photo sleuthing, showing how the passage of time has magnified some challenges, but also unlocked exciting new possibilities. I show how technologies like social media, face recognition, and digital archives allow us to solve photo mysteries that have eluded families and researchers for a century and a half.
Our paper, “Flud: a hybrid crowd-algorithm approach for visualizing biological networks,” was accepted to the CHI 2019 workshop titled, Where is the Human? Bridging the Gap Between AI and HCI, in Glasgow, Scotland. Congratulations to Crowd Lab co-authors Aditya Bharadwaj (Ph.D. student) and David Gwizdala (undergraduate researcher), as well as Yoonjin Kim and Aditya’s co-advisor, Dr. T.M. Murali.