Xiangrong Zeng
YOU?
Author Swipe
View article: Baichuan-M1: Pushing the Medical Capability of Large Language Models
Baichuan-M1: Pushing the Medical Capability of Large Language Models Open
The current generation of large language models (LLMs) is typically designed for broad, general-purpose applications, while domain-specific LLMs, especially in vertical fields like medicine, remain relatively scarce. In particular, the dev…
View article: Loss-Driven Channel Pruning of Convolutional Neural Networks
Loss-Driven Channel Pruning of Convolutional Neural Networks Open
The increase in computation cost and storage of convolutional neural networks (CNNs) severely hinders their applications on limited-resources devices in recent years. As a result, there is impending necessity to accelerate the networks by …
View article: A Novel Low-Bit Quantization Strategy for Compressing Deep Neural Networks
A Novel Low-Bit Quantization Strategy for Compressing Deep Neural Networks Open
The increase in sophistication of neural network models in recent years has exponentially expanded memory consumption and computational cost, thereby hindering their applications on ASIC, FPGA, and other mobile devices. Therefore, compress…
View article: Learning Sparse Convolutional Neural Network via Quantization With Low Rank Regularization
Learning Sparse Convolutional Neural Network via Quantization With Low Rank Regularization Open
With the refinement of tasks in artificial intelligence, bringing in exponential level increments in computation cost and storage. Therefore, the augment of computation resource for complicated neural networks severely hinders their applic…
View article: A Multi-view Super-Resolution Method with Joint-optimization of Image Fusion and Blind Deblurring
A Multi-view Super-Resolution Method with Joint-optimization of Image Fusion and Blind Deblurring Open
Multi-view super-resolution (MVSR) refers to the process of reconstructing a high-resolution (HR) image from a set of low-resolution (LR) images captured from different viewpoints typically by different cameras.These multi-view images are …
View article: Automatic Visual Defect Detection Using Texture Prior and Low-Rank Representation
Automatic Visual Defect Detection Using Texture Prior and Low-Rank Representation Open
Automatic surface detection for quality control has largely employed image processing techniques, for example in steel and fabric defect inspection. There are rising demands in the quality control industry for defective image analysis to f…
View article: A depth-based Multi-view Super-Resolution Method Using Image Fusion and Blind Deblurring
A depth-based Multi-view Super-Resolution Method Using Image Fusion and Blind Deblurring Open
Multi-view super-resolution (MVSR) aims to estimate a high-resolution (HR) image from a set of low-resolution (LR) images that are captured from different viewpoints (typically by different cameras).MVSR is usually applied in camera array …