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cs.CV2026
Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks
Jie Li, Hongyi Cai, Mingkang Dong +4
Automatically detecting abnormal events in videos is crucial for modern autonomous systems, yet existing Video Anomaly Detection (VAD) benchmarks lack the scene diversity, balanced…
cs.CV2026
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation
Kang Liao, Size Wu, Zhonghua Wu +6
Camera-centric understanding and generation are two cornerstones of spatial intelligence, yet they are typically studied in isolation. We present Puffin, a unified camera-centric m…
cs.CV2025
Controllable Pedestrian Video Editing for Multi-View Driving Scenarios via Motion Sequence
Danzhen Fu, Jiagao Hu, Daiguo Zhou +3
Pedestrian detection models in autonomous driving systems often lack robustness due to insufficient representation of dangerous pedestrian scenarios in training datasets. To addres…