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Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification
MoTIF uses a transformer over temporally grounded concept sequences with per-concept self-attention and automatic VLM concept discovery to improve interpretable video classification.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 6
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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5