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Results: 45
Number of items: 45
  • Liem, M., & Gavrila, D. M. (2009). Multi-person tracking with overlapping cameras in complex, dynamic environments. In Proceedings of the 20th British Machine Vision Conference (BMVC 2009) British Machine Vision Association. http://www.bmva.org/bmvc/2009/Papers/Paper261/Paper261.pdf
  • Keller, C. G., Llorca, D. F., & Gavrila, D. M. (2009). Dense stereo-based ROI generation for pedestrian detection. In J. Denzler, G. Notni, & H. Süße (Eds.), Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009 : proceedings (pp. 81-90). (Lecture Notes in Computer Science; Vol. 5748). Springer. https://doi.org/10.1007/978-3-642-03798-6_9
  • Rohrbach, M., Enzweiler, M., & Gavrila, D. M. (2009). High-level fusion of depth and intensity for pedestrian classification. In J. Denzler, G. Notni, & H. Süße (Eds.), Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009 : proceedings (pp. 101-110). (Lecture Notes in Computer Science; Vol. 5748). Springer. https://doi.org/10.1007/978-3-642-03798-6_11
  • Hofmann, M., & Gavrila, D. M. (2009). Single-frame 3D human pose recovery from multiple views. In J. Denzler, G. Notni, & H. Süße (Eds.), Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009 : proceedings (pp. 71-80). (Lecture Notes in Computer Science; Vol. 5748). Springer. https://doi.org/10.1007/978-3-642-03798-6_8
  • Hofmann, M., & Gavrila, D. M. (2009). Multi-view 3D human pose estimation combining single-frame recovery, temporal integration and model adaptation. In 2009 IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2009 ; Miami, Florida, USA, 20 - 25 June 2009 (pp. 2214-2221). IEEE. https://doi.org/10.1109/CVPRW.2009.5206508
  • Enzweiler, M., & Gavrila, D. M. (2009). Monocular pedestrian detection: Survey and experiments. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(12), 2179-2195. https://doi.org/10.1109/TPAMI.2008.260
  • Enzweiler, M., & Gavrila, D. M. (2008). A mixed generative-discriminative framework for pedestrian classification. IEEE Conference on Computer Vision and Pattern Recognition, 1-8. https://doi.org/10.1109/CVPR.2008.4587592
  • Enzweiler, M., Kanter, P., & Gavrila, D. M. (2008). Monocular pedestrian recognition using motion parallax. In 2008 IEEE Intelligent Vehicles Symposium: Eindhoven University of Technology, Eindhoven, the Netherlands, June 4-6, 2008 (pp. 792-797). IEEE. https://doi.org/10.1109/IVS.2008.4621169
  • Munder, S., Schnörr, C., & Gavrila, D. M. (2008). Pedestrian detection and tracking using a mixture of view-based shape-texture models. IEEE Transactions on Intelligent Transportation Systems, 9(2), 333-343. https://doi.org/10.1109/TITS.2008.922943
  • Gavrila, D. M. (2007). A Bayesian, Exemplar-based Approach to Hierarchical Shape Matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(8), 1408-1421. https://doi.org/10.1109/TPAMI.2007.1062
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