Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.

Why Passwords Are Still a Developer's Problem in 2026. The case against password-based authentication is well-established in the IAM community, but the practical implications for ...

Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

When the results from skin tests came back, they revealed snake fungal disease, caused by Ophidiomyces ophidiicola, an ...

Alphabet’s Intrinsic robotics unit moves into Google, linking DeepMind, Gemini, and Cloud to speed physical AI deployments in factories and logistics.

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Abstract: Traditional 3D object detectors, whether fully-, semi-, or weakly-supervised, rely heavily on extensive human annotations. In contrast, this paper introduces an unsupervised 3D object ...

🔍 Rethinking Unified Models: We identify two critical limitations in existing unified multi-person eyeblink detection models: (1) feature granularity conflict between face localization and eyeblink ...

[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs ...