3 papers
cs.CV2026
Beyond the Beep: Scalable Collision Anticipation and Real-Time Explainability with BADAS-2.0
Roni Goldshmidt, Hamish Scott, Lorenzo Niccolini +1
We present BADAS-2.0, the second generation of our collision anticipation system, building on BADAS-1.0, which showed that fine-tuning V-JEPA2 on large-scale ego-centric dashcam da…
cs.CV2025
BADAS: Context Aware Collision Prediction Using Real-World Dashcam Data
Roni Goldshmidt, Hamish Scott, Lorenzo Niccolini +3
Existing collision prediction methods often fail to distinguish between ego-vehicle threats and random accidents not involving the ego vehicle, leading to excessive false alerts in…
cs.CV2025
Attention, Please! PixelSHAP Reveals What Vision-Language Models Actually Focus On
Roni Goldshmidt
Interpretability in Vision-Language Models (VLMs) is crucial for trust, debugging, and decision-making in high-stakes applications. We introduce PixelSHAP, a model-agnostic framewo…