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On-the-fly adaptation of regression forests for online camera relocalisation

Conference paper

Cavallari T. et al, (2017), Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017-January, 218 - 227

Simpler editing of graph-based segmentation hierarchies using zipping algorithms

Journal article

Golodetz S. et al, (2017), Pattern Recognition, 70, 44 - 59

Struck: Structured Output Tracking with Kernels.

Journal article

Hare S. et al, (2016), IEEE Trans Pattern Anal Mach Intell, 38, 2096 - 2109

The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

Conference paper

Felsberg M. et al, (2016), Proceedings of the IEEE International Conference on Computer Vision, 2016-February, 639 - 651

Staple: Complementary learners for real-time tracking

Journal article

Bertinetto L. et al, (2016), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016-January, 1401 - 1409

The Visual Object Tracking VOT2015 Challenge Results

Conference paper

Kristan M. et al, (2015), Proceedings of the IEEE International Conference on Computer Vision, 2015-February, 564 - 586

SemanticPaint: Interactive segmentation and learning of 3D worlds

Conference paper

Golodetz S. et al, (2015), ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015

The semantic paintbrush: Interactive 3D mapping and recognition in large outdoor spaces

Conference paper

Miksik O. et al, (2015), Conference on Human Factors in Computing Systems - Proceedings, 2015-April, 3317 - 3326

Imagining the impossible before breakfast: the relation between creativity, dissociation, and sleep.

Journal article

van Heugten-van der Kloet D. et al, (2015), Front Psychol, 6

Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction

Conference paper

Vineet V. et al, (2015), Proceedings - IEEE International Conference on Robotics and Automation, 2015-June, 75 - 82

The visual object tracking VOT2014 challenge results

Conference paper

Kristan M. et al, (2015), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8926, 191 - 217

Two tree-based methods for the waterfall

Journal article

Golodetz SM. et al, (2014), Pattern Recognition

Two tree-based methods for the waterfall

Journal article

Golodetz SM. et al, (2014), Pattern Recognition, 47, 3276 - 3292

Automatic spine identification in abdominal CT slices using image partition forests

Conference paper

Golodetz S. et al, (2009), ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, 121 - 126

Progress on a decision-support system for abdominal CT scans

Conference paper

Golodetz S. et al, (2009), Proceedings - 2009 2nd Conference on Human System Interactions, HSI '09, 116 - 119

Region analysis of abdominal CT scans using image partition forests

Conference paper

Golodetz S. et al, (2008), 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings, 432 - 437

A proposed decision-support system for (renal) cancer imaging

Conference paper

Golodetz S. et al, (2007), Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007, 361 - 366

Staple: Complementary Learners for Real-Time Tracking

Conference paper

Bertinetto L. et al, CVPR 2016

Straight to Shapes: Real-time Detection of Encoded Shapes

Conference paper

Jetley S. et al, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition