Overview

Sareh Rowlands is a computer vision scientist interested in computer vision applications such as robotics and medical diagnosis. Her background includes using non-Euclidean geometry in visual recognition and implementing computer vision approaches in robotic scenarios. She uses her expertise to model human actions in order to anticipate or predict an action before it occurs.  This facilitates enhances human-robot collaboration. This is mostly achieved by analysis and learning relevant datasets that capture human actions in a complex task using techniques such as deep learning, graphical models and etc. 

Sareh carried out her PhD programme in Computer Vision at the University of Queensland (UQ), Australia in 2014. From September 2014, she was a Postdoctoral research fellow at the Australian Centre for Robotic Vision (ACRV) before she joined the University of Exeter as lecturer in Data Science early 2020.

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Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2023 | 2022 | 2021 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2008 |

2023

• Wu H, Yunas S, Rowlands S, Ruan W, Wahlstrom J. (2023) Adversarial Driving: Attacking End-to-End Autonomous Driving, IEEE Intelligent Vehicles Symposium, Proceedings, volume 2023-June, DOI:10.1109/IV55152.2023.10186386.
• Wu H, Yunas S, Rowlands S, Ruan W, Wahlstrom J. (2023) Adversarial Detection: Attacking Object Detection in Real Time, IEEE Intelligent Vehicles Symposium, Proceedings, volume 2023-June, DOI:10.1109/IV55152.2023.10186608.

2022

• Wu H, Rowlands S, Wahlstrom J. (2022) Distributed Black-box Attack against Image Classification Cloud Services. [PDF]
• Wu H, Rowlands S, Wahlstrom J. (2022) A Man-in-the-Middle Attack against Object Detection Systems. [PDF]
• Wu H, Yunas S, Rowlands S, Ruan W, Wahlstrom J. (2022) Adversarial Detection: Attacking Object Detection in Real Time, IEEE Intelligent Vehicle Symposium, 2023. [PDF]

2021

• Wu H, Yunas S, Rowlands S, Ruan W, Wahlstrom J. (2021) Adversarial Driving: Attacking End-to-End Autonomous Driving, IEEE Intelligent Vehicle Symposium, 2023. [PDF]

2019

• Jack D, Pontes JK, Sridharan S, Fookes C, Shirazi S, Maire F, Eriksson A. (2019) Learning Free-Form Deformations for 3D Object Reconstruction, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 11362 LNCS, pages 317-333, DOI:10.1007/978-3-030-20890-5_21.
• Jack D, Maire F, Shirazi S, Eriksson A. (2019) IGE-net: Inverse graphics energy networks for human pose estimation and single-view reconstruction, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, volume 2019-June, pages 7068-7077, DOI:10.1109/CVPR.2019.00724.

2018

• Jack D, Maire F, Eriksson A, Shirazi S. (2018) Adversarially parameterized optimization for 3d human pose estimation, Proceedings - 2017 International Conference on 3D Vision, 3DV 2017, pages 145-154, DOI:10.1109/3DV.2017.00026.
• Abbas A, Maire F, Shirazi S, Dayoub F, Eich M. (2018) A dynamic planner for object assembly tasks based on learning the spatial relationships of its parts from a single demonstration, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 11320 LNAI, pages 759-765, DOI:10.1007/978-3-030-03991-2_68.
• Abbas A, Maire F, Dayoub F, Shirazi S. (2018) Combining learning from demonstration and search algorithm for dynamic goal-directed assembly task planning, Australasian Conference on Robotics and Automation, ACRA, volume 2018-December.

2017

• Rezazadegan F, Shirazi S, Upcrofit B, Milford M. (2017) Action recognition: From static datasets to moving robots, Proceedings - IEEE International Conference on Robotics and Automation, pages 3185-3191, DOI:10.1109/ICRA.2017.7989361.
• Fernando B, Shirazi S, Gould S. (2017) Unsupervised Human Action Detection by Action Matching, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, volume 2017-July, pages 1604-1612, DOI:10.1109/CVPRW.2017.205.

2016

• Tow AW, Shirazi S, Leitner J, Sünderhauf N, Milford M, Upcroft B. (2016) A robustness analysis of deep Q networks, Australasian Conference on Robotics and Automation, ACRA, volume 2016-December, pages 116-125.

2015

• Sünderhauf N, Shirazi S, Jacobson A, Dayoub F, Pepperell E, Upcroft B, Milford M. (2015) Place recognition with convnet landmarks: Viewpoint-robust, condition-robust, training-free, Robotics: Science and Systems, volume 11, DOI:10.15607/RSS.2015.XI.022.
• Rezazadegan F, Shirazi S, Sünderhauf N, Milford M, Upcroft B. (2015) Enhancing human action recognition with region proposals, Australasian Conference on Robotics and Automation, ACRA.
• Milford M, Lowry S, Sunderhauf N, Shirazi S, Pepperell E, Upcroft B, Shen C, Lin G, Liu F, Cadena C. (2015) Sequence searching with deep-learnt depth for condition-and viewpoint-invariant route-based place recognition, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, volume 2015-October, pages 18-25, DOI:10.1109/CVPRW.2015.7301395.
• Sünderhauf N, Shirazi S, Dayoub F, Upcroft B, Milford M. (2015) On the performance of ConvNet features for place recognition, IEEE International Conference on Intelligent Robots and Systems, volume 2015-December, pages 4297-4304, DOI:10.1109/IROS.2015.7353986.
• Shirazi S, Sanderson C, McCool C, Harandi MT. (2015) Bags of Affine Subspaces for Robust Object Tracking, 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, DOI:10.1109/DICTA.2015.7371239.

2014

• Shirazi S, Harandi MT, Lovell BC, Sanderson C. (2014) Object tracking via non-Euclidean geometry: A Grassmann approach, 2014 IEEE Winter Conference on Applications of Computer Vision, WACV 2014, pages 901-908, DOI:10.1109/WACV.2014.6836008.

2013

• Harandi MT, Sanderson C, Shirazi S, Lovell BC. (2013) Kernel analysis on Grassmann manifolds for action recognition, Pattern Recognition Letters, volume 34, no. 15, pages 1906-1915, DOI:10.1016/j.patrec.2013.01.008.
• Shirazi S, Alavi A, Harandi MT. (2013) Graph-embedding discriminant analysis on riemannian manifolds for visual recognition, Graph Embedding for Pattern Analysis, 157-175, DOI:10.1007/978-1-4614-4457-2_7.

2012

• Shirazi S, Harandi MT, Sanderson C, Alavi A, Lovell BC. (2012) Clustering on Grassmann manifolds via kernel embedding with application to action analysis, Proceedings - International Conference on Image Processing, ICIP, pages 781-784, DOI:10.1109/ICIP.2012.6466976.

2011

• Harandi MT, Sanderson C, Shirazi S, Ovell BC. (2011) Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 2705-2712, DOI:10.1109/CVPR.2011.5995564.
• Shirazi SA, Dadgostar F, Lovell BC. (2011) An appearance-based approach to assistive identity inference using LBP and colour histograms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 6468 LNCS, no. PART1, pages 236-245, DOI:10.1007/978-3-642-22822-3_24.

2008

• Shirazi SA, Yazdi M. (2008) A new approach in super resolution based on an adaptive regularization parameter, 2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008, pages 572-577, DOI:10.1109/ISCCSP.2008.4537290.

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