84 citations · 309 across the 35 of their papers we have counts for
7 papers · 1 filter
MVOFormer: Flow-Semantic Transformer for Robust Monocular Visual Odometry
Jituo Li, Shunwang Sun, Jialu Zhang +5
Monocular visual odometry (MVO) is foundational to autonomous navigation and robotic localization. However, existing learning-based MVO approaches often struggle with either a lack…
Phenology-based learning framework for yield estimation and harvest forecasting of raspberry fruits
Parham Jafary, Lesley G. Campbell, Anna Bazangeya +4
The future of agriculture is intertwined with automation. Accurate fruit detection, yield estimation, and harvest time prediction are crucial for efficient supply chain management…
Morphological Detection and Classification of Microplastics and Nanoplastics Emerged from Consumer Products by Deep Learning
Hadi Rezvani, Navid Zarrabi, Ishaan Mehta +5
Plastic pollution presents an escalating global issue, impacting health and environmental systems, with micro- and nanoplastics found across mediums from potable water to air. Trad…
BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane
Riku Murai, Sajad Saeedi, Paul H. J. Kelly
Focal-plane Sensor-processor (FPSP) is a next-generation camera technology which enables every pixel on the sensor chip to perform computation in parallel, on the focal plane where…
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Wenbin Li, Sajad Saeedi, John McCormac +6
Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Loc…
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality
Sajad Saeedi, Bruno Bodin, Harry Wagstaff +23
Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge. Often referred to as SLAM (Simultaneous Localisation and Mapping), it is cent…
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper
Luigi Nardi, Bruno Bodin, Sajad Saeedi +3
In this paper we investigate an emerging application, 3D scene understanding, likely to be significant in the mobile space in the near future. The goal of this exploration is to re…