7.7k citations
- Universidade de BrasíliaBR10 papers
- Guangzhou UniversityCN9 papers
- Lincoln University - PennsylvaniaUS9 papers
- École Polytechnique Fédérale de LausanneCH7 papers
- Sobolev Institute of MathematicsRU7 papers
- University of CambridgeGB7 papers
- University of OxfordGB7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Technische Universität DarmstadtDE6 papers
- The University of TokyoJP6 papers
- University of GlasgowGB6 papers
- University of LeedsGB6 papers
28 papers · 1 filter
An MLP Baseline for Handwriting Recognition Using Planar Curvature and Gradient Orientation
Azam Nouri
This study investigates whether second-order geometric cues - planar curvature magnitude, curvature sign, and gradient orientation - are sufficient on their own to drive a multilay…
Counting with Confidence: Accurate Pest Monitoring in Water Traps
Xumin Gao, Mark Stevens, Grzegorz Cielniak
Accurate pest population monitoring and tracking their dynamic changes are crucial for precision agriculture decision-making. A common limitation in existing vision-based automatic…
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers
Syed Ali Tariq, Tehseen Zia, Mubeen Ghafoor
Explainability of deep convolutional neural networks (DCNNs) is an important research topic that tries to uncover the reasons behind a DCNN model's decisions and improve their unde…
Mapping the Unseen: Unified Promptable Panoptic Mapping with Dynamic Labeling using Foundation Models
Mohamad Al Mdfaa, Raghad Salameh, Geesara Kulathunga +2
Panoptic maps enable robots to reason about both geometry and semantics. However, open-vocabulary models repeatedly produce closely related labels that split panoptic entities and…
Key Point-based Orientation Estimation of Strawberries for Robotic Fruit Picking
Justin Le Louëdec, Grzegorz Cielniak
Selective robotic harvesting is a promising technological solution to address labour shortages which are affecting modern agriculture in many parts of the world. For an accurate an…
Developing a Hybrid Convolutional Neural Network for Automatic Aphid Counting in Sugar Beet Fields
Xumin Gao, Wenxin Xue, Callum Lennox +2
Aphids can cause direct damage and indirect virus transmission to crops. Timely monitoring and control of their populations are thus critical. However, the manual counting of aphid…