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Chapter and Conference Paper
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Contemporary deep-learning object detection methods for autonomous driving usually presume fixed categories of common traffic participants, such as pedestrians and cars. Most existing detectors are unable to d...
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Chapter and Conference Paper
Generative Negative Text Replay for Continual Vision-Language Pretraining
Vision-language pre-training (VLP) has attracted increasing attention recently. With a large amount of image-text pairs, VLP models trained with contrastive loss have achieved impressive performance in various...
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Chapter and Conference Paper
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
Self-supervised depth learning from monocular images normally relies on the 2D pixel-wise photometric relation between temporally adjacent image frames. However, they neither fully exploit the 3D point-wise ge...
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Article
Open AccessThinning ferroelectric films for high-efficiency photovoltaics based on the Schottky barrier effect
Achieving high power conversion efficiencies (PCEs) in ferroelectric photovoltaics (PVs) is a longstanding challenge. Although recently ferroelectric thick films, composite films, and bulk crystals have all be...
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Article
Environmental Risk Assessment of Emerging Contaminants Using Degradation Data
The degradation behavior of an emerging contaminant is a key factor in its environmental risk assessment. Existing risk assessment methods based on EC degradation data commonly neglect the time-varying volatil...
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Chapter
Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environments
Benefiting from the intimate link and the sufficient information conveyed by the degradation-threshold failure mechanism, degradation analysis has gradually become a hot topic in reliability engineering, which...
