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).
Dr. Luther was selected as one of eight Emerging Scholars by the American Civil War Museum in Richmond, VA. He will give an invited presentation on Civil War Photo Sleuth to audiences at the grand opening of the newly expanded museum on May 4. The goal of the program is to “highlight some of the most interesting work of the next generation of writers, communicators, and thinkers of Civil War era history/public history.”
Congratulations to Crowd Lab Ph.D. student Sukrit Venkatagiri on his selection as one of 12 Graduate Student Fellows of the Rita Allen Foundation’s Misinformation Solutions Forum, which took place in October 2018 in Washington, DC. As a Graduate Fellow, Sukrit received a travel grant to attend the Forum and co-authored (with Amy Zhang of MIT) an essay that was published in the Forum’s proceedings.
Congratulations to Crowd Lab Ph.D. student Vikram Mohanty and computer science major David Thames for winning the inaugural Best Poster/Demo Award at HCOMP 2018 in Zurich, Switzerland. Their poster/demo was titled, “Are 1,000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers.”
Congratulations to Crowd Lab Ph.D. student Vikram Mohanty and computer science major David Thames for winning the Grand Prize in the Microsoft Cloud AI Research Challenge. Their submission was titled, “Civil War Photo Sleuth” and the prize was $25,000.
Dr. Luther received the 2018 Dean’s Award for Outstanding New Assistant Professor Award in the College of Engineering.
Congratulations to Crowd Lab undergraduate researcher Anne Hoang for winning 3rd place in the Faculty Choice category at the 2018 Virginia Tech Undergraduate Research in Computer Science (VTURCS) Symposium. There were 37 submissions including 22 capstone projects and 15 research projects.
Anne also won 1st place in the Capstone category and 1st place in the Marston Awards (industry pick) category. Amazing!
The Crowd Lab regularly participates in the VTURCS Symposium. Last year, our teams placed 1st and 3rd in the Faculty Choice category.
Congratulations to Crowd Lab alumna Rachel Kohler for winning the William Preston Society Award for Outstanding Master’s Thesis at Virginia Tech. The Preston Award recognizes the best original research with the potential to benefit all people. Rachel won in the STEM category, which includes any field of science, technology, engineering, or mathematics at VT.
According to a VT News article, “The William Preston Society is comprised of former members of the Virginia Tech Board of Visitors and the current president and past presidents of Virginia Tech.”
Rachel graduated from VT in 2017 with bachelor’s and master’s degrees in computer science. Her thesis committee was Dr. Luther (chair), Dr. Chris North, and Dr. Mike Horning.
Dr. Luther received an Institute for Critical Technology and Applied Science (ICTAS) Junior Faculty Award. The award includes a two-year, $80,000 grant to support his lab’s research on using crowdsourcing and computer vision to identify people in historical and modern photographs. The co-PI on the grant is Prof. Paul Quigley of Virginia Tech’s History department.
Dr. Luther previously received a $10,000 seed grant from ICTAS to support his research on crowdsourcing and context slices, in collaboration with Dr. Chris North in the Computer Science department.
More details are available in the VT News press release.
Our paper on crowdsourced image geolocation and diagramming won the Notable Paper Award at HCOMP 2017. Congrats to Crowd Lab alums Rachel Kohler and John Purviance, co-authors of the paper, for this recognition. In the photo above, Dr. Luther receives the award certificate on behalf of his co-authors from Adam Kalai and Steven Dow (HCOMP 2017 co-chairs) and Jeff Nichols (Awards committee).
You can read the award-winning paper, Supporting Image Geolocation with Diagramming and Crowdsourcing, in the online proceedings.