Dayoub, F.[Feras]
* 2015: Evaluation of Features for Leaf Classification in Challenging Conditions
* 2017: Episode-Based Active Learning with Bayesian Neural Networks
* 2020: Learning Landmark Guided Embeddings for Animal Re-identification
* 2020: Probabilistic Object Detection: Definition and Evaluation
* 2021: Class Anchor Clustering: A Loss for Distance-based Open Set Recognition
* 2021: Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
* 2021: Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment
* 2021: Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
* 2021: VarifocalNet: An IoU-aware Dense Object Detector
* 2023: Hyperdimensional Feature Fusion for Out-of-Distribution Detection
* 2023: SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
* 2024: Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization
* 2024: ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields
Includes: Dayoub, F.[Feras] Dayoub, F.
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