Items where Author is "Khoreva, Anna"

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Oh, Seong Joon and Benenson, Rodrigo and Khoreva, Anna and Akata, Zeynep and Fritz, Mario and Schiele, Bernt
(2017) Exploiting saliency for object segmentation from image level labels.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Oh, Seong Joon and Benenson, Rodrigo and Khoreva, Anna and Akata, Zeynep and Fritz, Mario and Schiele, Bernt
(2017) Exploiting saliency for object segmentation from image level labels.
CoRR, abs/17.

Khoreva, Anna and Benenson, Rodrigo and Hosang, Jan Hendrik and Hein, Matthias and Schiele, Bernt
(2017) Simple Does It: Weakly Supervised Instance and Semantic Segmentation.
In: 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017.
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Khoreva, Anna and Benenson, Rodrigo and Galasso, Fabio and Hein, Matthias and Schiele, Bernt
(2016) Improved Image Boundaries for Better Video Segmentation.
In: Computer Vision - ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III.

Khoreva, Anna and Benenson, Rodrigo and Omran, Mohamed and Hein, Matthias and Schiele, Bernt
(2016) Weakly Supervised Object Boundaries.
In: 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016).
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Khoreva, Anna and Galasso, Fabio and Hein, Matthias and Schiele, Bernt
(2015) Classifier based graph construction for video segmentation.
In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'15).
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Khoreva, Anna and Galasso, Fabio and Hein, Matthias and Schiele, Bernt
(2014) Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering.
In: Pattern Recognition - 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, Proceedings.

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