Paul Sturgess

According to our database, Paul Sturgess authored at least 14 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Going beyond semantic image segmentation, towards holistic scene understanding, with associative hierarchical random fields.

Paul Sturgess

PhD thesis, 2016

2015

Semantic octree: Unifying recognition, reconstruction and representation via an octree constrained higher order MRF.

Sunando Sengupta, Paul Sturgess

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

ImageSpirit: Verbal Guided Image Parsing.

Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr

ACM Trans. Graph., 2014

Dense Semantic Image Segmentation with Objects and Attributes.

Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother, Philip H. S. Torr

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

ImageSpirit: Verbal Guided Image Parsing.

Ming-Ming Cheng, Shuai Zheng, Wen-Yan Lin, Jonathan Warrell, Vibhav Vineet, Paul Sturgess, Nigel T. Crook, Niloy J. Mitra, Philip H. S. Torr

CoRR, 2013

Approximate structured output learning for Constrained Local Models with application to real-time facial feature detection and tracking on low-power devices.

Shuai Zheng, Paul Sturgess, Philip H. S. Torr

Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012

Joint Optimization for Object Class Segmentation and Dense Stereo Reconstruction.

Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr

Int. J. Comput. Vis., 2012

Automatic dense visual semantic mapping from street-level imagery.

Sunando Sengupta, Paul Sturgess, Lubor Ladicky, Philip H. S. Torr

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Efficient discriminative learning of parametric nearest neighbor classifiers.

Ziming Zhang, Paul Sturgess, Sunando Sengupta, Nigel T. Crook, Philip H. S. Torr

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference.

Vibhav Vineet, Jonathan Warrell, Paul Sturgess, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2012

Scalable Cascade Inference for Semantic Image Segmentation.

Paul Sturgess, Lubor Ladicky, Nigel T. Crook, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2012

2010

What, Where and How Many? Combining Object Detectors and CRFs.

Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr

Proceedings of the Computer Vision, 2010

Joint Optimisation for Object Class Segmentation and Dense Stereo Reconstruction.

Lubor Ladicky, Paul Sturgess, Chris Russell, Sunando Sengupta, Yalin Bastanlar, William F. Clocksin, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2010

2009

Combining Appearance and Structure from Motion Features for Road Scene Understanding.

Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H. S. Torr

Proceedings of the British Machine Vision Conference, 2009