Author

Eric Granger

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Preprint Sep 2026

DESA-TTA: Dynamic EMA and Source Anchoring for Test-Time Adaptation

Vision-language object detectors (VLODs) achieve strong zero-shot performance but remain vulnerable to distribution shifts during deployment. Mean-teacher methods for test-time adaptation (TTA) can improve robustness by updating a student model using teacher-generated pseudo-labels. However, mean-teacher TTA is highly...

Atif Belal, Lilian Hollard, Marco Pedersoli et al. · 0 citations

#artificial intelligence Preprint Sep 2026

BEACON: Behavior and Appearance Control for Subject-Specific Video Generation

Generating human-centric videos that preserve both visual identity and person-specific expressive behavior remains a fundamental challenge. In addition to reproducing appearance, a model must replicate the facial behaviors that characterize how a subject expresses emotion over time. However, most state-of-the-art metho...

Pokrzywa Baptiste, Nabyl Quignon, Yara Bahram et al. · 0 citations

#artificial intelligence Preprint Aug 2026

TTSD-FAR: Test-Time Self-Distillation with Fisher-Anchored Restoration for Missing-Modality Emotion Recognition in LVLMs

A unified adaptation-restoration design consistently outperforms entropy-based adaptation, RAG, and perplexity-based generation over long adaptation horizons, where baselines without restoration progressively degrade while TTSD-FAR remains consistent.

Muhammad Haseeb Aslam, A. Koerich, Marco Pedersoli et al. · 0 citations