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Recursive Coarse-to-Fine Localization for Fast Object Detection.

M. Pedersoli, J. Gonzàlez, A. Bagdanov, and J. Villanueva. ECCV (6), volume 6316 of Lecture Notes in Computer Science, page 280-293. Springer, (2010)

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Marco Ströbel University of Stuttgart

Marco Testa University of Stuttgart

Marco Maier University of Stuttgart

Dr. Marco Spurk University of Stuttgart

Marco Dettling University of Stuttgart

Other publications of authors with the same name

Factorized appearances for object detection.J. Gonfaus, M. Pedersoli, J. Gonzàlez, A. Vedaldi, and F. Roca. Computer Vision and Image Understanding, (2015)Face Detection without Bells and Whistles.M. Mathias, R. Benenson, M. Pedersoli, and L. Gool. ECCV (4), volume 8692 of Lecture Notes in Computer Science, page 720-735. Springer, (2014)A coarse-to-fine approach for fast deformable object detection.M. Pedersoli, A. Vedaldi, J. Gonzàlez, and F. Roca. Pattern Recognition, 48 (5): 1844-1853 (2015)F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.S. Belharbi, A. Sarraf, M. Pedersoli, I. Ayed, L. McCaffrey, and E. Granger. WACV, page 3727-3736. IEEE, (2022)Weakly Supervised Detection with Posterior Regularization.H. Bilen, M. Pedersoli, and T. Tuytelaars. BMVC, BMVA Press, (2014)On tracking inside groups.D. Rowe, J. Gonzàlez, M. Pedersoli, and J. Villanueva. Mach. Vis. Appl., 21 (2): 113-127 (2010)Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition.J. Ortega, M. Senoussaoui, E. Granger, M. Pedersoli, P. Cardinal, and A. Koerich. CoRR, (2019)Areas of Attention for Image Captioning.M. Pedersoli, T. Lucas, C. Schmid, and J. Verbeek. CoRR, (2016)A coarse-to-fine approach for fast deformable object detection.M. Pedersoli, A. Vedaldi, and J. Gonzàlez. CVPR, page 1353-1360. IEEE Computer Society, (2011)Weakly supervised object detection with convex clustering.H. Bilen, M. Pedersoli, and T. Tuytelaars. CVPR, page 1081-1089. IEEE Computer Society, (2015)