Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition
A compact and efficient approach for Visual Place Recognition using extreme low-bit quantization and progressive distillation.
VSLAM: Visual Simultaneous Localization and Mapping
VSLAMs a streamlined Python implementation of Stereo Visual SLAM. It leverages libraries such as numpy, opencv, and scipy for feature detection, tracking, matching, motion estimation, and optimization—all designed with the KITTI dataset in mind.
publications
Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition
Published in IEEE Robotics and Automation Letters, 2024
This paper examines the impact of compact architectural designs and quantization techniques on visual place recognition, balancing recall performance with memory and latency constraints for edge deployment.
Recommended citation: Grainge, O., Milford, M., Bodala, I., Ramchurn, S. D., & 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. doi:10.1109/LRA.2024.3386459
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Structured Pruning for Efficient Visual Place Recognition
Published in IEEE Robotics and Automation Letters, 2024
This paper introduces a structured pruning method for VPR that strategically removes redundancies in the embedding space, significantly reducing memory usage and latency with minimal impact on accuracy.
Recommended citation: Grainge, O., Milford, M., Bodala, I., Ramchurn, S. D., & Ehsan, S. (2025). "Structured Pruning for Efficient Visual Place Recognition." IEEE Robotics and Automation Letters, 10(2), 2024-2031. doi:10.1109/LRA.2024.3523222
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TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition
Published in arXiv preprint, 2025
This paper introduces TeTRA, a ternary transformer approach that progressively quantizes Vision Transformers to achieve significant reductions in memory consumption and inference latency, while preserving or even enhancing visual place recognition performance on resource-constrained platforms.
Recommended citation: Grainge, O., Milford, M., Bodala, I., Ramchurn, S. D., & Ehsan, S. (2025). "TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition." arXiv preprint, arXiv:2503.02511. doi:10.48550/arXiv.2503.02511
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.