Dr Shoaib Ehsan
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Email
sehsan@essex.ac.uk -
Location
5B.527, Colchester Campus
Profile
Biography
Dr Shoaib Ehsan is an experienced researcher, having won major research accolades, including the British Machine Vision Association's Sullivan Doctoral Thesis Prize (2013), and recognition as a 'Researcher with Exceptional Promise' by the Royal Academy of Engineering (2014). He is also a Senior Member of the IEEE. He has been involved in several EPSRC, ESRC and EU projects and has made significant contributions with his expertise in multiple fields, especially computer vision, embedded systems, robotics and artificial intelligence. Dr Ehsan has a strong track record of inclusive leadership/co-leadership of large international and national research projects and networks. For example, he is currently a Researcher Co-Investigator for the National Centre for Nuclear Robotics (NCNR), which is a £42M initiative by EPSRC, research institutions, industrial collaborators and investment partners. Dr Ehsan is co-leading a team of 12+ research students and post-docs at the University of Essex.
Qualifications
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PhD University of Essex, (2012)
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BSc Electrical Engineering University of Engineering and Technology Taxila, (2003)
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Post Graduate Certificate (PGCert) in Microprocessors and Microcontrollers University of Edinburgh, (2008)
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Post Graduate Certificate (PGCert) in VLSI Design University of Edinburgh, (2008)
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Post Graduate Certificate (PGCert) in IP Block Authoring University of Edinburgh, (2008)
Research and professional activities
Research interests
Computer Vision
Robotics
Embedded Systems
Artificial Intelligence
Teaching and supervision
Current supervision
Previous supervision
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 23/9/2024
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 22/9/2023
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 21/8/2023
Degree subject: Computer Science
Degree type: Master of Science (by Dissertation)
Awarded date: 20/3/2023
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 8/12/2022
Degree subject: Computing and Electronic Systems
Degree type: Doctor of Philosophy
Awarded date: 16/9/2022
Degree subject: Computing and Electronic Systems
Degree type: Master of Science (by Dissertation)
Awarded date: 3/11/2020
Degree subject: Computer Science
Degree type: Master of Science (by Dissertation)
Awarded date: 19/3/2020
Degree subject: Computing and Electronic Systems
Degree type: Master of Science (by Dissertation)
Awarded date: 14/1/2020
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 21/11/2019
Degree subject: Computing and Electronic Systems
Degree type: Master of Science (by Dissertation)
Awarded date: 23/12/2016
Publications
Publications (10)
Grainge, O., Milford, M., Bodala, I., Ramchurn, SD. and Ehsan, S., (2024). Structured Pruning for Efficient Visual Place Recognition
Fuady, S., Tarapore, D., Ehsan, S. and Soorati, MD., (2024). Collective Decision-Making on Task Allocation Feasibility
Arcanjo, B., Ferrarini, B., Fasli, M., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2023). Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Grainge, O., Milford, M., Bodala, I., Ramchurn, SD. and Ehsan, S., (2023). Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition
Tomita, M-A., Ferrarini, B., Milford, M., McDonald-Maier, K. and Ehsan, S., (2023). Visual Place Recognition with Low-Resolution Images
Arcanjo, B., Ferrarini, B., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2023). Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
Waheed, M., Milford, M., Zhai, X., McDonald-Maier, K. and Ehsan, S., (2023). An Evaluation and Ranking of Different Voting Schemes for Improved Visual Place Recognition
Waheed, M., Waheed, S., Milford, M., McDonald-Maier, K. and Ehsan, S., (2023). A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition
Tomita, M-A., Ferrarini, B., Milford, M., McDonald-Maier, K. and Ehsan, S., (2023). Data-Efficient Sequence-Based Visual Place Recognition with Highly Compressed JPEG Images
Tomita, M-A., Ferrarini, B., Milford, M., McDonald-Maier, K. and Ehsan, S., (2022). Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images
Journal articles (45)
Arcanjo, B., Ferrarini, B., Fasli, M., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2024). Aggregating Multiple Bio-Inspired Image Region Classifiers for Effective and Lightweight Visual Place Recognition. IEEE Robotics and Automation Letters. 9 (4), 3315-3322
Grainge, O., Milford, M., Bodala, I., Ramchurn, SD. and Ehsan, S., (2024). Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition. IEEE Robotics and Automation Letters. 9 (6), 5070-5077
Grainge, O., Milford, M., Bodala, IP., Ramchurn, SD. and Ehsan, S., (2024). Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition.. IEEE Robotics Autom. Lett.. 9, 5070-5077
Fuady, S., Tarapore, D., Ehsan, S. and Soorati, MD., (2024). Collective Decision-Making on Task Allocation Feasibility.. CoRR. abs/2405.07799
Khanam, Z., Aslam, B., Saha, S., Zhai, X., Ehsan, S., Stolkin, R. and McDonald-Maier, K., (2022). Gamma-Induced Image Degradation Analysis of Robot Vision Sensor for Autonomous Inspection of Nuclear Sites. IEEE Sensors Journal. 22 (18), 17378-17390
Saha, S., Zhai, X., Ehsan, S., Majeed, S. and McDonald-Maier, K., (2022). RASA: Reliability-Aware Scheduling Approach for FPGA-Based Resilient Embedded Systems in Extreme Environments. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52 (6), 3885-3899
Lu, Y., Zhai, X., Saha, S., Ehsan, S. and McDonald-Maier, KD., (2022). A Self-adaptive SEU Mitigation Scheme for Embedded Systems in Extreme Radiation Environments. IEEE Systems Journal. 16 (1), 1436-1447
Minhas, S., Hernandez-Sabate, A., Ehsan, S. and McDonald-Maier, KD., (2022). Effects of Non-Driving Related Tasks During Self-Driving Mode. IEEE Transactions on Intelligent Transportation Systems. 23 (2), 1391-1399
Saha, S., Chakraborty, S., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2022). ACCURATE: Accuracy Maximization for Real-Time Multi-core systems with Energy Efficient Way-sharing Caches. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41 (12), 5246-5260
Minhas, S., Khanam, Z., Ehsan, S., McDonald-Maier, K. and Hernández-Sabaté, A., (2022). Weather Classification by Utilizing Synthetic Data.. Sensors. 22 (9), 3193-3193
Wachter, EW., Kasap, S., Kolozali, S., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2022). Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation. Nuclear Engineering and Technology. 54 (11), 3985-3995
Arcanjo, B., Ferrarini, B., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2022). An Efficient and Scalable Collection of Fly-Inspired Voting Units for Visual Place Recognition in Changing Environments. IEEE Robotics and Automation Letters. 7 (2), 2527-2534
Ferrarini, B., Milford, MJ., McDonald-Maier, KD. and Ehsan, S., (2022). Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments. IEEE Transactions on Robotics. 38 (4), 1-15
Tomita, M-A., Zaffar, M., Ferrarini, B., Milford, MJ., McDonald-Maier, KD. and Ehsan, S., (2022). Sequence-Based Filtering for Visual Route-Based Navigation: Analyzing the Benefits, Trade-Offs and Design Choices. IEEE Access. 10, 81974-81987
Zaffar, M., Ehsan, S., Milford, M. and McDonald-Maier, K., (2021). Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition. IEEE Transactions on Intelligent Transportation Systems. Early Access (12), 1-1
Khanam, Z., Saha, S., Ehsan, S., Stolkin, R. and McDonald-Maier, K., (2021). Coverage Path Planning Techniques for Inspection of Disjoint Regions with Precedence Provision. IEEE Access. 9, 5412-5427
Lu, Y., Chen, X., Zhai, X., Saha, S., Ehsan, S., Su, J. and McDonald-Maier, K., (2021). A Fast Simulation Method for Analysis of SEE in VLSI. Microelectronics Reliability. 120, 114110-114110
Kasap, S., Wächter, EW., Zhai, X., Ehsan, S. and McDonald-Maier, KD., (2021). Novel lockstep-based fault mitigation approach for SoCs with roll-back and roll-forward recovery. Microelectronics Reliability. 124, 114297-114297
Tomia, M-A., Zaffar, M., Milford, MJ., McDonald-Maier, KD. and Ehsan, S., (2021). ConvSequential-SLAM: A Sequence-Based, Training-Less Visual Place Recognition Technique for Changing Environments. IEEE Access. 9, 118673-118683
Waheed, M., Milford, M., McDonald-Maier, K. and Ehsan, S., (2021). Improving Visual Place Recognition Performance by Maximising Complementarity. IEEE Robotics and Automation Letters. 6 (3), 5976-5983
Zaffar, M., Garg, S., Milford, M., Kooij, J., Flynn, D., McDonald-Maier, K. and Ehsan, S., (2021). VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change. International Journal of Computer Vision. 129 (7), 2136-2174
Kasap, S., Wächter, EW., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2021). Novel Lockstep Technique with Roll-back and Roll-forward Recovery to Mitigate Radiation-Induced Soft Errors. 2020 IEEE Nordic Circuits and Systems Conference, NORCAS 2020 - Proceedings, 1-7
Khaliq, A., Ehsan, S., Chen, Z., Milford, M. and McDonald-Maier, K., (2020). A Holistic Visual Place Recognition Approach Using Lightweight CNNs for Significant ViewPoint and Appearance Changes. IEEE Transactions on Robotics. 36 (2), 561-569
Moetesum, M., Siddiqi, I., Ehsan, S. and Vincent, N., (2020). Deformation modeling and classification using deep convolutional neural networks for computerized analysis of neuropsychological drawings. Neural Computing and Applications. 32 (16), 12909-12933
Ferrarini, B., Waheed, M., Waheed, S., Ehsan, S., Milford, MJ. and McDonald-Maier, K., (2020). Exploring Performance Bounds of Visual Place Recognition Using Extended Precision. IEEE Robotics and Automation Letters. 5 (2), 1688-1695
Zaffar, M., Ehsan, S., Milford, M. and McDonald-Maier, K., (2020). CoHOG: A Light-Weight, Compute-Efficient, and Training-Free Visual Place Recognition Technique for Changing Environments. IEEE Robotics and Automation Letters. 5 (2), 1835-1842
Kasap, S., Weber Wachter, E., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2020). Survey of Soft Error Mitigation Techniques Applied to LEON3 Soft Processors on SRAM-Based FPGAs. IEEE Access. 8, 28646-28658
Ferrarini, B., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2020). Binary Neural Networks for Memory-Efficient and Effective Visual Place Recognition in Changing Environments.. CoRR. abs/2010.00716
Malik, QW., ur Rehman, N., Gull, S., Ehsan, S. and McDonald-Maier, K., (2019). FPGA based real-time implementation of Bivariate Empirical Mode Decomposition. Circuits, Systems, and Signal Processing. 38 (1), 118-137
Kalliatakis, G., Ehsan, S., Leonardis, A., Fasli, M. and McDonald-Maier, KD., (2019). Exploring Object-Centric and Scene-Centric CNN Features and their Complementarity for Human Rights Violations Recognition in Images. IEEE Access. 7, 10045-10056
Naveed, K., Ehsan, S., McDonald-Maier, K. and ur Rehman, N., (2019). A Multiscale Denoising Framework using Detection Theory with Application to Images from CMOS/CCD Sensors. Sensors. 19 (1), 206-206
Naveed, K., Shaukat, B., Ehsan, S., McDonald-Maier, KD. and Ur Rehman, N., (2019). Multiscale image denoising using goodness-of-fit test based on EDF statistics.. PLoS One. 14 (5), e0216197-e0216197
Ferrarini, B., Ehsan, S., Leonardis, A., Rehman, N. and McDonald-Maier, K., (2018). Performance Characterization of Image Feature Detectors in Relation to the Scene Content Utilizing a Large Image Database. IEEE Access. 6, 8564-8573
Zahra, A., Kanwal, N., ur Rehman, N., Ehsan, S. and McDonald-Maier, KD., (2017). Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition. Computers in Biology and Medicine. 88, 132-141
Ehsan, S., Clark, A., Leonardis, A., ur Rehman, N., Khaliq, A., Fasli, M. and McDonald-Maier, K., (2016). A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors. Remote Sensing. 8 (11), 928-928
Ferrarini, B., Ehsan, S., ur Rehman, N. and McDonald-Maier, K., (2016). Performance comparison of image feature detectors utilizing a large number of scenes. Journal of Electronic Imaging. 25 (1), 010501-010501
Ehsan, S., Clark, AF., Naveed ur Rehman and McDonald-Maier, KD., (2015). Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems.. Sensors. 15 (7), 16804-16830
Zhai, X., Appiah, K., Ehsan, S., Howells, G., Hu, H., Gu, D. and McDonald-Maier, KD., (2015). A Method for Detecting Abnormal Program Behavior on Embedded Devices. IEEE Transactions on Information Forensics and Security. 10 (8), 1692-1704
Zhai, X., Appiah, K., Ehsan, S., Howells, G., Hu, H., Gu, D. and McDonald-Maier, K., (2015). Exploring ICMetrics to detect abnormal program behaviour on embedded devices. Journal of Systems Architecture. 61 (10), 567-575
Rehman, N., Ehsan, S., Naveed, K., McDonald-Maier, KD. and Safdar, MW., (2015). Dynamically sampled multivariate empirical mode decomposition. Electronics Letters. 51 (24), 2049-2051
Rehman, NU., Ehsan, S., Abdullah, SMU., Akhtar, MJ., Mandic, DP. and McDonald-Maier, KD., (2015). Multi-scale pixel-based image fusion using multivariate empirical mode decomposition.. Sensors. 15 (5), 10923-10947
Ehsan, S., Clark, A. and McDonald-Maier, K., (2013). Rapid Online Analysis of Local Feature Detectors and Their Complementarity. Sensors. 13 (8), 10876-10907
Bostanci, E., Kanwal, N., Ehsan, S. and Clark, AF., (2013). User Tracking Methods for Augmented Reality. International Journal of Computer Theory and Engineering. 5 (1), 93-98
Ehsan, S., Kanwal, N., Clark, AF. and McDonald-Maier, KD., (2012). An algorithm for the contextual adaption of SURF octave selection with good matching performance: best octaves.. IEEE Transactions on Image Processing. 21 (1), 297-304
Ehsan, S., Kanwal, N., Clark, AF. and McDonald-Maier, KD., (2010). Improved repeatability measures for evaluating performance of feature detectors. Electronics Letters. 46 (14), 998-998
Conferences (46)
Aslam, B., Saha, S., Zaffar, M., Ehsan, S., Zhai, X., Cazzaniga, C., Frost, C., McDonald-Maier, K. and Stolkin, R., Measuring the Degradation of Commercial Cameras Under Fast Neutron Beam
Waheed, M., Waheed, S., Milford, M., McDonald-Maier, K. and Ehsan, S., (2023). A Complementarity-Based Switch-Fuse System for Improved Visual Place Recognition
Lu, Y., Zhai, X., Saha, S., Ehsan, S. and McDonald-Maier, KD., (2022). FPGA based Adaptive Hardware Acceleration for Multiple Deep Learning Tasks
Smith, WHB., Milford, M., McDonald-Maier, KD., Ehsan, S. and Fisher, RB., (2022). OpenSceneVLAD: Appearance Invariant, Open Set Scene Classification
Waheed, M., Milford, M., McDonald-Maier, K. and Ehsan, S., (2022). SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments
Ferrarini, B., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2022). Highly-Efficient Binary Neural Networks for Visual Place Recognition
Saha, S., Adetomi, A., Zhai, X., Kasap, S., Ehsan, S., Arslan, T. and McDonald-Maier, K., (2021). EnSuRe: Energy & Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems
Khanam, Z., McDonald-Maier, K. and Ehsan, S., (2021). Near-Optimal Coverage Path Planning of Distributed Regions for Aerial Robots with Energy Constraint
Khanam, Z., Saha, S., Ognibene, D., McDonald-Maier, K. and Ehsan, S., (2021). An Offline-Online Strategy for Goal-Oriented Coverage Path Planning using A Priori Information
Aslam, B., Saha, S., Khanam, Z., Zhai, X., Ehsan, S., Stolkin, R. and McDonald-Maier, K., (2020). Gamma-induced Degradation Analysis of Commercial off-the-shelf Camera Sensors
Wachter, EW., Kasap, S., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2020). Survey of Lockstep based Mitigation Techniques for Soft Errors in Embedded Systems
Wachter, E., Kasap, S., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2020). A Framework and Protocol for Dynamic Management of Fault Tolerant Systems in Harsh Environments
Lu, Y., Zhai, X., Saha, S., Ehsan, S. and McDonald-Maier, K., (2020). A self-scrubbing scheme for embedded systems in radiation environments
Kasap, S., Wächter, EW., Zhai, X., Ehsan, S. and McDonald-Maier, K., (2020). Novel Lockstep-based Approach with Roll-back and Roll-forward Recovery to Mitigate Radiation-Induced Soft Errors
Ferrarini, B., Ehsan, S., Bartoli, A., Leonardis, A. and McDonald-Maier, KD., (2019). Assessing Capsule Networks with Biased Data
Ferrarini, B., Waheed, M., Waheed, S., Ehsan, S., Milford, M. and McDonald-Maier, KD., (2019). Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
Khanam, Z., Saha, S., Aslam, B., Zhai, X., Ehsan, S., Cazzaniga, C., Frost, C., Stolkin, R. and McDonald-Maier, K., (2019). Degradation Measurement of Kinect Sensor Under Fast Neutron Beamline
Kalliatakis, G., Sticlaru, A., Stamatiadis, G., Ehsan, S., Leonardis, A., Gall, J. and McDonald-Maier, K., (2018). Material classification in the wild: Do synthesized training data generalise better than real-world training data?
Dey, S., Kalliatakis, G., Saha, S., Singh, AK., Ehsan, S. and McDonald-Maier, K., (2018). MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip
Villarreal Guerra, JC., Khanam, Z., Ehsan, S., Stolkin, R. and McDonald-Maier, K., (2018). Weather Classification: A new multi-class dataset, data augmentation approach and comprehensive evaluations of Convolutional Neural Networks
Saha, S., Ehsan, S., Stoica, A., Stolkin, R. and McDonald-Maier, K., (2018). Real-Time Application Processing for FPGA-Based Resilient Embedded Systems in Harsh Environments
Zaffar, M., Ehsan, S., Stolkin, R. and Maier, KM., (2018). Sensors, SLAM and Long-term Autonomy: A Review
Kalliatakis, G., Ehsan, S., Fasli, M., Leonardis, A., Gall, J. and McDonald-Maier, KD., (2017). Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?
Kalliatakis, G., Stamatiadis, G., Ehsan, S., Leonardis, A., Gall, J., Sticlaru, A. and McDonald-Maier, KD., (2017). Evaluating Deep Convolutional Neural Networks for Material Classification
Bin Nazar, H., Moetesum, M., Ehsan, S., Siddiqi, I., Khurshid, K., Vincent, N. and McDonald-Maier, KD., (2017). Classification of Graphomotor Impressions Using Convolutional Neural Networks: An Application to Automated Neuro-Psychological Screening Tests
Ferrarini, B., Ehsan, S., Rehman, NU., Leonardis, A. and McDonald-Maier, KD., (2016). Automatic Selection of the Optimal Local Feature Detector
Minhas, S., Hernández-Sabaté, A., Ehsan, S., Díaz-Chito, K., Leonardis, A., López, AM. and McDonald-Maier, K., (2016). LEE: A photorealistic virtual environment for assessing driver-vehicle interactions in self-driving mode
ur Rehman, N., Naveed, K., Ehsan, S. and McDonald-Maier, K., (2016). Multi-scale image denoising based on goodness of fit (GOF) tests
Ehsan, S., Clark, AF., Ferrarini, B., Rehman, NU. and McDonald-Maier, KD., (2015). Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices
ur Rehman, N., Khan, MM., Sohaib, I., Jehanzaib, M., Ehsan, S. and McDonald-Maier, KD., (2015). Image fusion using multivariate and multidimensional EMD.
Ferrarini, B., Ehsan, S., Rehman, NU. and McDonald-Maier, KD., (2015). Performance characterization of image feature detectors in relation to the scene content utilizing a large image database
Ehsan, S. and McDonald-Maier, K., (2014). An Assessment of Recent Attacks on Specific Embedded Systems
Zhai, X., Appiah, K., Ehsan, S., Cheung, WM., Howells, G., Hu, H., Gu, D. and McDonald-Maier, K., (2014). Detecting Compromised Programs for Embedded System Applications
Ehsan, S., Clark, AF., Cheung, WM., Bais, AM., Menzat, BI., Kanwal, N. and McDonald-Maier, K., (2014). Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine
Appiah, K., Zhai, X., Ehsan, S., Cheung, WM., Hu, H., Gu, D., McDonald-Maier, K. and Howells, G., (2013). Program Counter as an Integrated Circuit Metrics for Secured Program Identification
Zhai, X., Appiah, K., Ehsan, S., Cheung, WM., Hu, H., Gu, D., McDonald-Maier, K. and Howells, G., (2013). A Self-Organising Map Based Algorithm for Analysis of ICmetrics Features
Zhai, X., Appiah, K., Ehsan, S., Hu, H., Gu, D., McDonald-Maier, K., Cheung, WM. and Howells, G., (2013). Application of ICmetrics for Embedded System Security
Ehsan, S., Kanwal, N., Clark, AF. and McDonald-Maier, K., (2011). Measuring the Coverage of Interest Point Detectors
Kanwal, N., Ehsan, S., Bostanci, E. and Clark, AF., (2011). Evaluating the angular sensitivity of corner detectors
Kanwal, N., Ehsan, S. and Clark, AF., (2011). Are Performance Differences of Interest Operators Statistically Significant?
Kanwal, N., Ehsan, S., Bostanci, E. and Clark, AF., (2011). A statistical approach for comparing the performances of corner detectors
Ehsan, S., Clark, AF. and McDonald-Maier, KD., (2010). Hardware Based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions
Ehsan, S., Kanwal, N., Bostanci, E., Clark, A. and McDonald-Maier, K., (2010). Analysis of interest point distribution in SURF octaves
Ehsan, S. and McDonald-Maier, KD., (2009). Exploring Integral Image Word Length Reduction Techniques for SURF Detector
Ehsan, S., Clark, AF. and McDonald-Maier, KD., (2009). Novel Hardware Algorithms for Row-Parallel Integral Image Calculation
Ehsan, S. and McDonald-Maier, KD., (2009). On-Board Vision Processing for Small UAVs: Time to Rethink Strategy
Reports and Papers (16)
Waheed, M., Milford, M., McDonald-Maier, K. and Ehsan, S., (2022). SwitchHit: A Probabilistic, Complementarity-Based Switching System for Improved Visual Place Recognition in Changing Environments
Ferrarini, B., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2022). Highly-Efficient Binary Neural Networks for Visual Place Recognition
Waheed, M., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2021). Improving Visual Place Recognition Performance by Maximising Complementarity
Zaffar, M., Garg, S., Milford, M., Kooij, J., Flynn, D., McDonald-Maier, K. and Ehsan, S., (2021). VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change
Power, R., Zaffar, M., Ferrarini, B., Milford, M., McDonald-Maier, K. and Ehsan, S., (2021). A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
Tomită, M-A., Zaffar, M., Milford, M., McDonald-Maier, K. and Ehsan, S., (2021). Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices
Tomita, M-A., Zaffar, M., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2021). Sequence-Based Filtering for Visual Route-Based Navigation: Analysing the Benefits, Trade-offs and Design Choices.
Smith, WHB., Milford, M., McDonald-Maier, KD. and Ehsan, S., (2021). Scene Retrieval for Contextual Visual Mapping
Tomită, M-A., Zaffar, M., Milford, M., McDonald-Maier, K. and Ehsan, S., (2020). ConvSequential-SLAM: A Sequence-based, Training-less Visual Place Recognition Technique for Changing Environments
Zaffar, M., Khaliq, A., Ehsan, S., Milford, M. and McDonald-Maier, K., (2019). Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions
Zaffar, M., Khaliq, A., Ehsan, S., Milford, M., Alexis, K. and McDonald-Maier, K., (2019). Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?
Khaliq, A., Ehsan, S., Milford, M. and McDonald-Maier, K., (2019). CAMAL: Context-Aware Multi-scale Attention framework for Lightweight Visual Place Recognition
Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, KD., (2019). GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
Kalliatakis, G., Ehsan, S., Fasli, M. and McDonald-Maier, K., (2019). DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level
Zaffar, M., Ehsan, S., Milford, M. and McDonald-Maier, K., (2019). Memorable Maps: A Framework for Re-defining Places in Visual Place Recognition
Kalliatakis, G., Ehsan, S. and McDonald-Maier, KD., (2017). A Paradigm Shift: Detecting Human Rights Violations Through Web Images
Grants and funding
2021
RoboK KTP Resubmission
Innovate UK (formerly Technology Strategy Board)
2019
RICE: Visual Place Recognition for Robotics in Extreme Environments
Engineering and Physical Sciences Research Council
RICE: Visual Place Recognition for Robotics in Extreme Environments
Engineering and Physical Sciences Research Council
2018
National Centre for Nuclear Robotics (NCNR)
Engineering and Physical Sciences Research Council
National Centre for Nuclear Robotics (NCNR)
Engineering and Physical Sciences Research Council
2016
Robust remote sensing for multi-modal characterisation in nuclear and other extreme environments.
Engineering & Physical Sciences Res.Council
Robust remote sensing for multi-modal characterisation in nuclear and other extreme environments.
Engineering & Physical Sciences Res.Council
2015
Human Rights and Information Technology in the Era of Big Data
Economic & Social Research Council
2012
COALAS
INTERREG IVA
RoBoSAS
Engineering & Physical Sciences Res.Council
2010
Adaptive Development Support (ADS-SoC)
Engineering & Physical Sciences Res.Council