Abstract: Model parameters store pretrained deep models’ knowledge. These parameters give trained models “memory” to generalize well on unseen data. In the absence of training data, a trained model is only useful for inference or…
Abstract: Autonomous driving perception should be environment-adaptive. Traffic line number and target system computing power should be considered in essential perception modules for traffic line detection. This paper proposes a traffic line detection method, Point…
Abstract: Social media like Sina Weibo can show traffic information like road jams, illegal behaviors, and emergency measures. Traffic data mining remains difficult. This paper proposes a deep learning-based traffic jam management method using social…
Abstract: Deep learning in histopathology requires large training datasets. Pathologists spend a lot of time labeling virtual slides, even though whole slide imaging scanners speed up data acquisition. Eye gaze annotations may speed slide labeling….
Abstract: Globally, shared e-mobility services have been tested and integrated into modern urban planning. This paper addresses a practical but crucial issue in those systems: how to deploy and manage their infrastructure across space and…
Abstract: Smart roads can benefit from video analytics to automatically detect abnormalities. Vehicle detection is the first step, and any error will affect subsequent steps. In smart road environments, video analysis is often performed directly…
Abstract: Train delay prediction helps dispatchers estimate the train’s running state and make better dispatching decisions. Passenger flow, fault, extreme weather, and dispatching strategy affect train delays. Dispatcher strategy and knowledge limit train departure times….
Abstract: Head pose estimation is crucial for gaze estimation and attention modeling. Head pose indicates drowsiness, distraction, and attention in drivers. It can also control in-car infotainment systems. In controlled environments, computer vision algorithms using…
Abstract: Without a cure, stroke is the leading cause of death and disability worldwide. Deep learning-based stroke risk prediction models can outperform existing models with large, well-labeled data. Stroke data is usually split among hospitals…
Abstract: A well-designed vehicular ad hoc network (VANET) is essential to building a smart transportation system that supports traffic safety and high-efficiency transportation. VANETs’ dynamicity and infrastructure-less nature make them vulnerable to malicious nodes that…
Abstract: Large disparity and the non-Lambertian effect challenge light field (LF) reconstruction. Typical approaches either solve the large disparity challenge with depth estimation followed by view synthesis or avoid explicit depth information to enable non-Lambertian…
Abstract: Due to the abundance of imagery and non-imagery-based clinical data, dental AI is promising. Dental radiograph analysis by a specialist can aid clinical diagnosis and treatment. In recent years, Convolutional Neural Networks have achieved…
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