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Kristen Grauman

Kristen Grauman Rethinks How Floor Plans are Created

Aerial view of gray scale home layout with sound wave graphics in yellow

07/22/2021 - Floorplans are used in many industries to help people visualize what the inside of a building looks like without actually seeing it. Traditionally, floorplans have been created by actually observing a 3D environment either manually or with the aid of 3D sensors. But what happens when the luxury of observing the 3D environment isn’t available—for example, when a robot is introduced to a new environment? Would it be able to quickly create floor maps without actually seeing the entire environment being mapped in detail?

TXCS Research Team Wins 2020 PointNav Challenge

Illustration of a room and all of the items in it as obstacles to navigate around.

08/31/2020 - A team comprising Texas Computer Science (TXCS) Ph.D. student Santhosh Ramakrishnan, postdoctoral researcher Ziad Al-Halah, and TXCS Professor Kristen Grauman recently won first place in the 2020 Habitat visual navigation challenge held at the Conference on Computer Vision and Pattern Recognition (CVPR).

Artificial Intelligence System Gives Fashion Advice

Minimal outfit edits suggest minor changes to an existing outfit in order to improve its fashionability.

10/28/2019 - People turn to many different sources for clothing style advice, from magazines to best friends to Instagram. Soon, though, you may be able to ask your smartphone. A University of Texas at Austin computer science team, in partnership with researchers from Cornell Tech, Georgia Tech and Facebook AI Research, has developed an artificial intelligence system that can look at a photo of an outfit and suggest helpful tips to make it more fashionable. Suggestions may include tweaks such as selecting a sleeveless top or a longer jacket.

New AI Sees Like a Human, Filling in the Blanks

Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment. Jenna Luecke/University of Texas at Austin.

05/16/2019 - Computer scientists at The University of Texas at Austin have taught an artificial intelligence agent how to do something that usually only humans can do—take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions.

Kristen Grauman Wins Award for Influential Computer Vision Paper

11/02/2017 - UTCS Professor Kristen Grauman received the 2017 Helmholtz Prize last week at the International Conference on Computer Vision. The Helmholtz Prize, awarded every other year, recognizes ICCV papers from the past ten years that have had a significant impact on the field of computer vision research.

Kristen Grauman Named to UT Austin's Academy of Distinguished Teachers

Kristen Grauman

06/01/2017 - Kristen Grauman, associate professor in the Department of Computer Science, has been inducted into The University of Texas at Austin's respected Academy of Distinguished Teachers for 2017. The Academy, one of the first organizations of its kind in the country, was established in 1995 to honor and reward excellence in teaching by recognizing tenured faculty members who have continuously provided significant contributions to education throughout their career, especially at the undergraduate level.