Long-tailed 3D object detection is treated as a class-frequency problem, but LiDAR supervision quality depends on object observability: similar frequencies can hide different geometric evidence. We introduce Geometry-Augmented Exponentially Weighted Instance-Aware Repeat Factor Sampling (GA-EIRFS), a detector-agnostic...
Taufiq Ahmed, C. A. Casado, Daniel Herrera Castro et al.· 0 citations
The study separates the measured benefit of predictive representations from the physiological prior used to organize their training, and presents Phenomenon-Graph JEPA, a joint-embedding predictive architecture that learns from four processed one-dimensional streams without negative pairs or synthetic augmentation in i...
C. A. Casado, Nhi Nguyen, M. Rahman et al.· 0 citations
Digits are thus predictable beyond familiar users and phone models under assumed segmentation, while acquisition-order shortcuts limit conclusions about practical privacy exposure.
C. A. Casado, Erkka Rantahalvari, Matteo Pedone et al.· 0 citations
The findings support selfie-capture motion as a low-friction auxiliary signal, while leaving cross-device, cross-session, and real injection-attack evaluation as necessary next steps.
Erkka Rantahalvari, Olli Silvén, Z. Boulkenafet et al.· arXiv.org· 1 citation
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