Daniel Olmeda Reino

Toyota Motor Corporation (Belgium) — Belgium

Computer Science · Physical Sciences

6h-index270citations25works1.42yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(11), Advanced Neural Network Applications(10), COVID-19 diagnosis using AI(5), Robotics and Sensor-Based Localization(4), Video Surveillance and Tracking Methods(3)

Publications25 total

MT-Occ: Single-View 3D Occupancy Prediction via Multi-task Distillation
Lecture notes in computer science·2026
ACDC: The Adverse Conditions Dataset With Correspondences for Robust Semantic Driving Scene Perception
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025· 1 cited
Efficient Few-Shot Continual Learning in Vision-Language Models
arXiv (Cornell University)·2025Open Access
Personalization Toolkit: Training Free Personalization of Large Vision Language Models
arXiv (Cornell University)·2025Open Access
VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field
Lecture notes in computer science·2025· 4 cited
VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field
arXiv (Cornell University)·2024Open Access
Annotation Free Semantic Segmentation with Vision Foundation Models
arXiv (Cornell University)·2024Open Access
OOD Aware Supervised Contrastive Learning
2024· 6 cited
OOD Aware Supervised Contrastive Learning
arXiv (Cornell University)·2023Open Access
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
2023· 26 cited
Contrastive Classification and Representation Learning with Probabilistic Interpretation
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 8 citedOpen Access
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
arXiv (Cornell University)·2023· 3 citedOpen Access
Efficient Large-scale Localization by Global Instance Recognition
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 18 cited
Identifying Wrongly Predicted Samples: A Method for Active Learning
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)·2022· 4 cited
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
arXiv (Cornell University)·2021Open Access
Seeking Similarities over Differences: Similarity-based Domain Alignment\n for Adaptive Object Detection
arXiv (Cornell University)·2021Open Access
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 79 cited
Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 80 cited
MonoCInIS: Camera Independent Monocular 3D Object Detection using\n Instance Segmentation
arXiv (Cornell University)·2021Open Access
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation
2021Open Access
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Frequent Co-authors

Rahaf Aljundi(16), Nikolay Chumerin(7), Bernt Schiele(6), Richard E. Turner(4), Roberto Cipolla(4), Soroush Seifi(4), Farzaneh Rezaeianaran(3), Rakshith Shetty(3), Shanshan Zhang(3), Aristeidis Panos(3), Fei Xue(3), Ignas Budvytis(3), Wim Abbeloos(3), Apratim Bhattacharyya(2), Mario Fritz(2), Yuriko Kobe(2), Jonas Heylen(2), Mark De Wolf(2), Marc Proesmans(2), Luc Van Gool(2)