News Releases from 2023
UC San Diego computer science faculty Tzu-Mao Li brings home best paper award from SIGGRAPH Asia 2023
Tzu-Mao Li, an assistant professor in the UC San Diego Department of Computer Science and Engineering, received one of five best paper awards at SIGGRAPH Asia 2023. The paper, “Warped-Area Reparametrization of Differential Path Integrals” was co-authored with researchers at MIT and UC Irvine.
August 30, 2023
As SIGGRAPH CELEBRATES 50 YEARS OF GRAPHICS RESEARCH, UC San Diego LEADs THE WAY IN RENDERING
UC San Diego Center for Visual Computing faculty are recognized as world leaders in graphics rendering in a new compilation of SIGGRAPH conference papers celebrating the 50th Anniversary of SIGGRAPH.
UC San Diego computer science professor Ravi Ramamoorthi recognized for contributions to Neural Radiance Field (NeRF) technology
University of California San Diego computer science professor Ravi Ramamoorthi has received a Frontiers of Science Award at the 2023 International Congress of Basic Science. Ramamoorthi (along with his coauthors) is being honored for his contributions to the Neural Radiance Field (NeRF) technology, as described in trend-setting papers at ECCV 2020 and CACM 2022. The NeRF technology is being recognized in the graphics and geometric computing category at the new conference.
UC San Diego teams earn four of 18 Qualcomm Innovation Fellowships in North America for 2023
Four UC San Diego teams have been awarded prestigious Qualcomm Innovation Fellowships for North America in 2023. The teams are affiliated with UC San Diego's Center for Visual Computing; Center for Wearable Sensors; and Contextual Robotics Institute.
March 27, 2023
Faster Slo-Mo?
A new technique developed by UC San Diego computer scientists could have a far-reaching impact on the future of slow-motion video. In an effort to smooth out slow-motion video, they broke new ground in a technique for video processing known as video frame interpolation – a way of digitally “sandwiching” additional animation frames between existing ones while meanwhile evening out any blur to achieve a fluid effect. The new video frame interpolation framework is called FLAVR, or Flow-Agnostic Video Representations for Fast Frame Interpolation. The team is led by computer science professor Manmohan Chandraker.