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Article
CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Large-scale contrastive vision-language pretraining has shown significant progress in visual representation learning. Unlike traditional visual systems trained by a fixed set of discrete labels, a new paradigm...
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Article
Key-frame reference selection for error resilient video coding using low-delay hierarchical coding structure
Low-delay hierarchical coding structure (LD-HCS), as one of the most crucial components in the High Efficiency Video Coding (HEVC) standard, substantially complicates the temporal reference relationship and ac...
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Article
A new non-convex sparse optimization method for image restoration
In the field of image processing, total variational model is an effective prior model. In order to better eliminate impulse noise, an effective method is to use
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Article
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, and many efforts have been made on it with impressive results. In this paper, we intend to search an optimal network structure that can run...
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Article
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements for computational resources in the field of real-time semantic segmentation, most approaches focus on the hand-crafted design of light-weight segmentation networks. To enj...
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Article
Active contour evolved by joint probability classification on Riemannian manifold
In this paper, we present an active contour model for image segmentation based on a nonparametric distribution metric without any intensity a priori of the image. A novel nonparametric distance metric, which i...
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Article
A low-complexity data-adaptive approach for premature ventricular contraction recognition
Premature ventricular contraction (PVC) may lead to life-threatening cardiac conditions. Real-time automated PVC recognition approaches provide clinicians the useful tools for timely diagnosis if dangerous con...
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Article
Open Access3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers
A major challenge in applying Bayesian tracking methods for tracking 3D human body pose is the high dimensionality of the pose state space. It has been observed that the 3D human body pose parameters typically...