Kristen Grauman, Ph.D.
Affiliations: | Computer Science | University of Texas at Austin, Austin, Texas, U.S.A. |
Area:
Computer vision, machine learningWebsite:
http://www.cs.utexas.edu/~grauman/Google:
"Kristen Grauman"Mean distance: 18.79 (cluster 23) | S | N | B | C | P |
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Publications
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| Su YC, Grauman K. (2021) Learning Spherical Convolution for 360 Recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Payntar ND, Hsiao W, Covey RA, et al. (2021) Learning patterns of tourist movement and photography from geotagged photos at archaeological heritage sites in Cuzco, Peru Tourism Management. 82: 104165 |
| Su YC, Grauman K. (2020) Learning Compressible 360° Video Isomers. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Yu A, Grauman K. (2020) Densifying Supervision for Fine-Grained Visual Comparisons International Journal of Computer Vision. 128: 2704-2730 |
| Ramakrishnan SK, Jayaraman D, Grauman K. (2019) Emergence of exploratory look-around behaviors through active observation completion. Science Robotics. 4 |
| Ramakrishnan SK, Jayaraman D, Grauman K. (2019) Emergence of exploratory look-around behaviors through active observation completion Science Robotics. 4: eaaw6326 |
| Jain SD, Grauman K. (2019) Click Carving: Interactive Object Segmentation in Images and Videos with Point Clicks International Journal of Computer Vision. 127: 1321-1344 |
| Gurari D, Zhao Y, Jain SD, et al. (2019) Predicting How to Distribute Work Between Algorithms and Humans to Segment an Image Batch International Journal of Computer Vision. 127: 1198-1216 |
| Xiong B, Jain S, Grauman K. (2018) Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Jayaraman D, Grauman K. (2018) End-to-end policy learning for active visual categorization. Ieee Transactions On Pattern Analysis and Machine Intelligence |