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PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
Recognizing human actions from point cloud sequence has attracted tremendous attention from both academia and industry due to its wide …
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PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge
Surveillance cameras are ubiquitous nowadays and users’ increasing needs for accessing real-world information (e.g., finding abandoned …
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Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
Deploying neural networks on microcontroller units (MCUs) presents substantial challenges due to their constrained computation and …
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Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Detecting out-of-distribution (OOD) examples is crucial to guarantee the reliability and safety of deep neural networks in real-world …
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GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning
This paper proposes Shoggoth, an efficient edge-cloud collaborative architecture, for boosting inference performance on real-time video …
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Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning
AOSR-Net: All-in-One Sandstorm Removal Network
Most existing sandstorm image enhancement methods are based on traditional theory and prior knowledge, which often limit their …
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AOSR-Net: All-in-One Sandstorm Removal Network
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
Cross-modal retrieval (CMR) has been widely applied in a wide range of applications, such as multimedia search engines, recommendation …
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Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval
A Hierarchy-based Analysis Approach for Blended Learning: A Case Study with Chinese Students
Blended learning is generally defined as the combination of traditional face-to-face learning and online learning. This learning mode …
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An Empirical Study of Attention Networks for Semantic Segmentation
Semantic segmentation is a vital problem in computer vision. Recently, a common solution to semantic segmentation is the end-to-end …
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Research on the Impact of Executive Shareholding on New Investment in Enterprises Based on Multivariable Linear Regression Model
Based on principal-agent theory and optimal contract theory, companies use the method of increasing executives’ shareholding to …
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