Researchers from the Cornell Ann S. Bowers College of Computing and Information Science, whose work from 2014 helped train computer vision models to differentiate between objects and their optical properties and lighting in photographs, have received this year’s Test of Time Award from the American Computing Machinery Special Interest Group on Graphics (ACM SIGGRAPH).
Authors of the award-winning paper, "Intrinsic Images in the Wild," are: Sean Bell, Ph.D. ’16 (lead author); Kavita Bala, provost and professor of computer science, and Noah Snavely, professor of computer science at Cornell Tech. Both Bala and Snavely co-advised Bell during his time as a Cornell doctoral student. The paper was presented at SIGGRAPH 2014 and published in ACM Transactions on Graphics that same year.
Researchers will be formally recognized during SIGGRAPH 2026, at the “Papers Fast Forward” session, held Sunday, July 19 in Los Angeles.
SIGGRAPH’s Test of Time award – like others at most major conferences that feature computing and information science research – recognizes research that has made a significant impact over the past 10 years or more.
