Kristen Grauman
Professor Kristen Grauman Elected Fellow of the American Association for the Advancement of Science
![Professor Kristen Grauman standing in front of the wood slats of the grand stairway in the Gates Dell Complex](/sites/default/files/styles/275_x_150/public/2024-05/grauman_kristen.jpg?itok=KXreALR1)
04/18/2024 - UT Computer Science Professor Kristen Grauman is among the eleven faculty members at The University of Texas at Austin who have been elected fellows of the American Association for the Advancement of Science (AAAS), including prominent figures in artificial intelligence from the university’s Department of
Kristen Grauman Rethinks How Floor Plans are Created
![Aerial view of gray scale home layout with sound wave graphics in yellow](/sites/default/files/styles/275_x_150/public/2023-09/VR-floorplan-article.png?itok=_4PVT9Ny)
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?
Kristen Grauman Named Finalist in 2021 Blavatnik National Awards for Young Scientists
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06/15/2021 - University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2021 Blavatnik National Awards for Young Scientists.
TXCS Research Team Wins 2020 PointNav Challenge
![Illustration of a room and all of the items in it as obstacles to navigate around.](/sites/default/files/styles/275_x_150/public/2023-09/pointnav-hero.png?itok=awN0VPwC)
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).
Kristen Grauman Named Finalist in 2020 Blavatnik National Awards for Young Scientists
![Kristen Grauman](/sites/default/files/styles/275_x_150/public/2023-09/grauman_cove_20200618-154630_1.jpg?itok=Zie9x_0x)
06/22/2020 - Story by Cason Hunwick for the College of Natural Science's News Page. University of Texas at Austin computer science researcher Kristen Grauman was selected as a finalist for the 2020 Blavatnik National Awards for Young Scientists.
Artificial Intelligence System Gives Fashion Advice
![Minimal outfit edits suggest minor changes to an existing outfit in order to improve its fashionability.](/sites/default/files/styles/275_x_150/public/2023-09/concept_fig_gray.jpg?itok=3CwjGsLv)
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.](/sites/default/files/styles/275_x_150/public/2023-09/robot-and-human700.jpg?itok=oASau8pS)
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 Awarded J.K. Aggarwal Prize for Image Matching Research
![Kristen Grauman Awarded J.K. Aggarwal Prize for Image Matching Research](/sites/default/files/styles/275_x_150/public/2023-09/grauman1-thumbnail.jpg?itok=xJTYcCss)
08/31/2018 - Texas Computer science professor Kristen Grauman is the recipient of the 2018 J.K. Aggarwal Prize from the International Association for Pattern Recognition (IAPR) for her contributions to the field of image matching and retrieval.
Kristen Grauman Wins Award for Influential Computer Vision Paper
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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.