Guoxia Xu
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View article: Development of a highly effective anti-aging and soothing recombinant Col III
Development of a highly effective anti-aging and soothing recombinant Col III Open
Collagen provides essential structural support to tissues and the extracellular matrix while participating in various biological processes, making it valuable in biomedicine, tissue engineering, and cosmetics. However, collagen extracted t…
View article: Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well
Integrating Extra Modality Helps Segmentor Find Camouflaged Objects Well Open
Camouflaged Object Segmentation (COS) remains challenging because camouflaged objects exhibit only subtle visual differences from their backgrounds and single-modality RGB methods provide limited cues, leading researchers to explore multim…
View article: Learning Dual-Domain Calibration and Distance-Driven Correlation Filter: A Probabilistic Perspective for UAV Tracking
Learning Dual-Domain Calibration and Distance-Driven Correlation Filter: A Probabilistic Perspective for UAV Tracking Open
Unmanned Aerial Vehicle (UAV) tracking has been possible because of the growth of intelligent information technology in smart cities, making it simple to gather data at any time by dynamically monitoring events, people, the environment, an…
View article: Second-Order Spatial-Temporal Correlation Filters for Visual Tracking
Second-Order Spatial-Temporal Correlation Filters for Visual Tracking Open
Discriminative correlation filters (DCFs) have been widely used in visual object tracking, but often suffer from two problems: the boundary effect and temporal filtering degradation. To deal with these issues, many DCF-based variants have …
View article: Vector co‐occurrence morphological edge detection for colour image
Vector co‐occurrence morphological edge detection for colour image Open
Morphological edge detection is a principal component in pattern recognition and machine vision. Traditional edge detection operators only take pixel mutual into consideration. However, the edges are influenced not only by pixel mutual but…
View article: TV2++: a novel spatial-temporal total variation for super resolution with exponential-type norm
TV2++: a novel spatial-temporal total variation for super resolution with exponential-type norm Open
Recently, many super-resolution algorithms have been proposed to recover high-resolution images to improve visualization and help better analyze images. Among them, total variation regularization (TV) methods have been proven to have a goo…
View article: Multimodal Fusion Method Based on Self-Attention Mechanism
Multimodal Fusion Method Based on Self-Attention Mechanism Open
Multimodal fusion is one of the popular research directions of multimodal research, and it is also an emerging research field of artificial intelligence. Multimodal fusion is aimed at taking advantage of the complementarity of heterogeneou…
View article: TV2++: A Novel Spatial-Temporal Total Variation for Super Resolution with Exponential-type Norm
TV2++: A Novel Spatial-Temporal Total Variation for Super Resolution with Exponential-type Norm Open
Recently, many super-resolution algorithms have been proposed to recover high resolution images to improve visualization and help better analyze images. Among them, total variation regularization (TV) methods have been proven to have a goo…
View article: TV2++: A Novel Spatial-Temporal Total Variation for Super Resolution with Exponential-type Norm
TV2++: A Novel Spatial-Temporal Total Variation for Super Resolution with Exponential-type Norm Open
Recently, many super-resolution algorithms have been proposed to recover high resolution images to improve visualization and help better analyze images. Among them, total variation regularization (TV) methods have been proven to have a goo…
View article: TV2++: A Novel Spatial-Temporal Total Variation for Super Resolution with Exponential-type Norm
TV2++: A Novel Spatial-Temporal Total Variation for Super Resolution with Exponential-type Norm Open
Recently, many super-resolution algorithms have been proposed to recover high resolution images to improve visualization and help better analyze images. Among them, total variation regularization (TV) methods have been proven to have a goo…
View article: TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Filtering Regularization for Infrared Small Target Detection
TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Filtering Regularization for Infrared Small Target Detection Open
Recently, infrared small target detection problem has attracted substantial attention. Many works based on local low-rank model have been proven to be very successful for enhancing the discriminability during detection. However, these meth…
View article: Machine learning assisted microscopic image analysis for unconventional reservoir studies.
Machine learning assisted microscopic image analysis for unconventional reservoir studies. Open