ZuWhan Kim, Ph.D.
Affiliations: | 2001 | University of Southern California, Los Angeles, CA, United States |
Area:
Computer ScienceGoogle:
"ZuWhan Kim"Parents
Sign in to add mentor| Ramakant Nevatia | grad student | 2001 | USC | |
| (Multi-view three-dimensional object description with uncertain reasoning and machine learning.) | ||||
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Publications
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| Hao J, Li C, Kim Z, et al. (2013) Spatio-temporal traffic scene modeling for object motion detection Ieee Transactions On Intelligent Transportation Systems. 14: 295-302 |
| Shladover S, Kim Z, Cao M, et al. (2011) Intersection crossing times of bicyclists: Quantitative measurements at diverse intersections Transportation Research Record. 91-98 |
| Shladover SE, Kim Z, Cao M, et al. (2009) Bicyclist intersection crossing times: Quantitative measurements for selecting signal timing Transportation Research Record. 86-95 |
| Tisdale J, Kim ZW, Hedrick JK. (2009) Autonomous UAV path planning and estimation: An online path planning framework for cooperative search and localization Ieee Robotics and Automation Magazine. 16: 35-42 |
| Kim Z. (2008) Robust lane detection and tracking in challenging scenarios Ieee Transactions On Intelligent Transportation Systems. 9: 16-26 |
| Kim Z, Cohn TE. (2004) Pseudoreal-time activity detection for railroad grade-crossing safety Ieee Transactions On Intelligent Transportation Systems. 5: 319-324 |
| Kim Z, Nevatia R. (2004) Automatic description of complex buildings from multiple images Computer Vision and Image Understanding. 96: 60-95 |
| Kim Z, Nevatia R. (2003) Expandable Bayesian networks for 3D object description from multiple views and multiple mode inputs Ieee Transactions On Pattern Analysis and Machine Intelligence. 25: 769-774 |
| Kim ZW, Huertas A, Nevatia R. (2001) Automatic description of buildings with complex rooftops from multiple images Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2 |
| Kim Z, Nevatia R. (1999) Uncertain reasoning and learning for feature grouping Computer Vision and Image Understanding. 76: 278-288 |