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20112026
most citedA Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects

110 citations · 245 across the 67 of their papers we have counts for

collaborators

74 papers

cs.LG2026

An Insight on Evaluation Metrics Under the Imbalanced Case of Anomaly Detection

Romain Hermary, Nesryne Mejri, Djamila Aouada

Anomaly detection is inherently characterised by severe class imbalance, making the interpretation of evaluation metrics challenging. Although metrics such as AUROC, AUPR, F1-score…

cs.CV2026

Unsupervised Domain Adaptation for Sim-to-Real Object Pose Estimation with Contrastive Alignment and Pseudo-Label Refinement

Nidhal Eddine Chenni, Arunkumar Rathinam, Djamila Aouada

Unsupervised domain adaptation (UDA) enables robust transfer of knowledge from simulated to real environments while exploiting a subset of unlabeled target data to improve real-wor…

cs.CV2026

When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift

Dat Nguyen, Cosmin Radoi, Romain Hermary +4

Recent advances in generative AI, such as diffusion models and face-swapping tools, have enabled the creation of highly realistic deepfakes, leading to real-world harms including f…

cs.CV2026

TALON: Token-Aligned Lightweight Adapters for 6-DoF Spacecraft Pose Estimation

Abid Ali, Arunkumar Rathinam, Djamila Aouada

Monocular 6-DoF spacecraft pose estimation methods predominantly process individual frames, discarding the temporal information present in an image sequence acquired during spacecr…

cs.CV2026

Text-to-CAD Evaluation with CADTests

Dimitrios Mallis, Marco Wang, Ahmet Serdar Karadeniz +3

Text-to-CAD has recently emerged as an important task with the potential to substantially accelerate design workflows. Despite its significance, there has been surprisingly little…

cs.RO2026

Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware

Arunkumar Rathinam, Jules Lecomte, Jost Reelsen +3

Reliable relative pose estimation is a key enabler for autonomous rendezvous and proximity operations, yet space imagery is notoriously challenging due to extreme illumination, hig…