Can We Anticipate Violence? Multimodal Learning from Pre-Incident Behavioral Cues

arXiv:2609.40014 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Transformer — 18× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• AUC — 5× in this paper · explained in 2 episodes
• International Conference on Computer Vision — 4× in this paper
• Alignment — 3× in this paper · explained in 1 episode
• Multimodal Learning — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Multimodal Fusion — 2× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• Multimodal Integration — 1× in this paper · explained in 2 episodes
• Optical Flow — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Steering and Rectifying Latent Representation Manifolds in Frozen Multi-modal LLMs for Video Anomaly Detection
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Latent Clarity: Bridging World-Model Kinematics to Semantic Manifolds for Video Anomaly Anticipation

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