3 papers
cs.LG2025
Stabilizing Information Flow Entropy: Regularization for Safe and Interpretable Autonomous Driving Perception
Haobo Yang, Shiyan Zhang, Zhuoyi Yang +3
Deep perception networks in autonomous driving traditionally rely on data-intensive training regimes and post-hoc anomaly detection, often disregarding fundamental information-theo…
cs.CV2025
Leveraging Geometric Visual Illusions as Perceptual Inductive Biases for Vision Models
Haobo Yang, Minghao Guo, Dequan Yang +1
Contemporary deep learning models have achieved impressive performance in image classification by primarily leveraging statistical regularities within large datasets, but they rare…
cs.CV2024
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse Weather
Jilong Guo, Haobo Yang, Mo Zhou +1
Removing adverse weather conditions such as rain, raindrop, and snow from images is critical for various real-world applications, including autonomous driving, surveillance, and re…