Sareh Rowlands

According to our database, Sareh Rowlands authored at least 24 papers between 2013 and 2026.

Collaborative distances:

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

2026

A Step Toward Instrument-Agnostic Plankton Classification in the Shared Label Space of IFCB and FlowCam Data.

Prabhat Chauhan, James R. Clark, Elaine Fileman, Claire Widdicombe, Saskia Rühl, Sareh Rowlands

IEEE Access, 2026

2025

Automated classification of natural habitats using ground-level imagery.

Mahdis Tourian, Sareh Rowlands, Remy Vandaele, Max Fancourt, Rebecca Mein, Hywel T. P. Williams

CoRR, August, 2025

Bridging Domain Gaps for Fine-Grained Moth Classification Through Expert-Informed Adaptation and Foundation Model Priors.

Ross Gardiner, Guillaume Mougeot, Sareh Rowlands, Benno I. Simmons, Flemming Helsing, Toke Thomas Høye

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Filter bubbles and affective polarization in user-personalized large language model outputs.

Han Wu, Sareh Rowlands, Johan Wahlström

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, 2025

Ensemble Phased Genetic Programming for Roundabout Turn Restriction Prediction.

Darren M. Chitty, Ayah M. Helal, Sareh Rowlands, Craig R. G. Willis, Christopher Underwood, Ed Keedwell

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

2024

A Human-in-the-Middle Attack Against Object Detection Systems.

Han Wu, Sareh Rowlands, Johan Wahlström

IEEE Trans. Artif. Intell., October, 2024

2023

Adversarial Detection: Attacking Object Detection in Real Time.

Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlström

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Adversarial Driving: Attacking End-to-End Autonomous Driving.

Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlström

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

Distributed Black-box Attack against Image Classification Cloud Services.

Han Wu, Sareh Rowlands, Johan Wahlström

CoRR, 2022

Man-in-the-Middle Attack against Object Detection Systems.

Han Wu, Sareh Rowlands, Johan Wahlström

CoRR, 2022

2019

IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction.

Dominic Jack, Frédéric Maire, Sareh Shirazi, Anders P. Eriksson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of Its Parts from a Single Demonstration.

Ahmed Abbas, Frédéric Maire, Sareh Shirazi, Feras Dayoub, Markus Eich

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Learning Free-Form Deformations for 3D Object Reconstruction.

Dominic Jack, Jhony K. Pontes, Sridha Sridharan, Clinton Fookes, Sareh Shirazi, Frédéric Maire, Anders P. Eriksson

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

A Real-time Action Prediction Framework by Encoding Temporal Evolution for Assembly Tasks.

Fahimeh Rezazadegan, Larry S. Davis, Sareh Shirazi

CoRR, 2017

What Would You Do? Acting by Learning to Predict.

Adam W. Tow, Niko Sünderhauf, Sareh Shirazi, Michael Milford, Jürgen Leitner

CoRR, 2017

Action recognition: From static datasets to moving robots.

Fahimeh Rezazadegan, Sareh Shirazi, Ben Upcroft, Michael Milford

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Unsupervised Human Action Detection by Action Matching.

Basura Fernando, Sareh Shirazi, Stephen Gould

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Adversarially Parameterized Optimization for 3D Human Pose Estimation.

Dominic Jack, Frédéric Maire, Anders P. Eriksson, Sareh Shirazi

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

ARTiS: Appearance-based Action Recognition in Task Space.

Markus Eich, Sareh Shirazi, Gordon F. Wyeth

CoRR, 2016

2015

Evaluation of Object Detection Proposals Under Condition Variations.

Fahimeh Rezazadegan, Sareh Shirazi, Michael Milford, Ben Upcroft

CoRR, 2015

Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free.

Niko Sünderhauf, Sareh Shirazi, Adam Jacobson, Feras Dayoub, Edward Pepperell, Ben Upcroft, Michael Milford

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

On the performance of ConvNet features for place recognition.

Niko Sünderhauf, Sareh Shirazi, Feras Dayoub, Ben Upcroft, Michael Milford

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition.

Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2013

Video Analysis Based on Learning on Special Manifolds for Visual Recognition

Sareh Shirazi

PhD thesis, 2013