Jiping Wu
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View article: Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots
Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots Open
Due to the short time, high labor intensity and high workload of fruit and vegetable harvesting, robotic harvesting instead of manual operations is the future. The accuracy of object detection and location is directly related to the pickin…
View article: Multi-scale Jones polynomial and persistent Jones polynomial for knot data analysis
Multi-scale Jones polynomial and persistent Jones polynomial for knot data analysis Open
Many structures in science, engineering, and art can be viewed as curves in 3-space. The entanglement of these curves plays a crucial role in determining the functionality and physical properties of materials. Many concepts in knot theory …
View article: Saat: Synergistic Alternating Aggregation Transformer for Image Super-Resolution
Saat: Synergistic Alternating Aggregation Transformer for Image Super-Resolution Open
View article: Non-Existent Relationship: Fact-Aware Multi-Level Machine-Generated Text Detection
Non-Existent Relationship: Fact-Aware Multi-Level Machine-Generated Text Detection Open
View article: Constraints and detection capabilities of GW polarizations with space-based detectors in different TDI combinations
Constraints and detection capabilities of GW polarizations with space-based detectors in different TDI combinations Open
Time-delay interferometry (TDI) is essential in space-based gravitational wave (GW) detectors, effectively reducing laser noise and improving detection precision. As one of the most promising GW detectors, the space-based detectors are abl…
View article: PBNet: Combining Transformer and CNN in Passport Background Texture Printing Image Classification
PBNet: Combining Transformer and CNN in Passport Background Texture Printing Image Classification Open
Passport background texture classification has always been an important task in border checks. Current manual methods struggle to achieve satisfactory results in terms of consistency and stability for weakly textured background images. For…
View article: DenseNet model incorporating hybrid attention mechanisms and clinical features for pancreatic cystic tumor classification
DenseNet model incorporating hybrid attention mechanisms and clinical features for pancreatic cystic tumor classification Open
Purpose The aim of this study is to develop a deep learning model capable of discriminating between pancreatic plasma cystic neoplasms (SCN) and mucinous cystic neoplasms (MCN) by leveraging patient‐specific clinical features and imaging o…
View article: Relationship between open innovation and innovation performance within high-tech firms: The mediating role of knowledge management capability
Relationship between open innovation and innovation performance within high-tech firms: The mediating role of knowledge management capability Open
In the current competitive global marketplace, innovation is key for high-tech firms to thrive. Open innovation offers a promising approach, but its effectiveness remains unclear. Therefore, this research explored the connection between op…
View article: ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback Open
To enhance the controllability of text-to-image diffusion models, existing efforts like ControlNet incorporated image-based conditional controls. In this paper, we reveal that existing methods still face significant challenges in generatin…
View article: ByteEdit: Boost, Comply and Accelerate Generative Image Editing
ByteEdit: Boost, Comply and Accelerate Generative Image Editing Open
Recent advancements in diffusion-based generative image editing have sparked a profound revolution, reshaping the landscape of image outpainting and inpainting tasks. Despite these strides, the field grapples with inherent challenges, incl…
View article: DiffusionGPT: LLM-Driven Text-to-Image Generation System
DiffusionGPT: LLM-Driven Text-to-Image Generation System Open
Diffusion models have opened up new avenues for the field of image generation, resulting in the proliferation of high-quality models shared on open-source platforms. However, a major challenge persists in current text-to-image systems are …
View article: Trans-Diff: Heterogeneous Domain Adaptation for Remote Sensing Segmentation With Transfer Diffusion
Trans-Diff: Heterogeneous Domain Adaptation for Remote Sensing Segmentation With Transfer Diffusion Open
Domain adaptation has been demonstrated to be an important technique to reduce the expensive annotation costs for remote sensing segmentation. However, for remote sensing images (RSIs) acquired from different imaging modalities with signif…
View article: Super-Resolution Reconstruction Algorithm: Integration of Ecp and TV Prior Models
Super-Resolution Reconstruction Algorithm: Integration of Ecp and TV Prior Models Open
View article: Knot data analysis using multiscale Gauss link integral
Knot data analysis using multiscale Gauss link integral Open
In the past decade, topological data analysis (TDA) has emerged as a powerful approach in data science. The main technique in TDA is persistent homology, which tracks topological invariants over the filtration of point cloud data using alg…
View article: AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Open
Diffusion models are emerging expressive generative models, in which a large number of time steps (inference steps) are required for a single image generation. To accelerate such tedious process, reducing steps uniformly is considered as a…
View article: DLIP: Distilling Language-Image Pre-training
DLIP: Distilling Language-Image Pre-training Open
Vision-Language Pre-training (VLP) shows remarkable progress with the assistance of extremely heavy parameters, which challenges deployment in real applications. Knowledge distillation is well recognized as the essential procedure in model…
View article: Research on VIKOR group decision making using WOWA operator based on interval Pythagorean triangular fuzzy numbers
Research on VIKOR group decision making using WOWA operator based on interval Pythagorean triangular fuzzy numbers Open
A new decision-making method based on interval Pythagorean triangular fuzzy numbers is proposed for fuzzy information decision-making problems, taking the advantages of interval Pythagorean fuzzy numbers and triangular fuzzy numbers into …
View article: Detecting the research diversity of researchers in library and information science: An exploratory study
Detecting the research diversity of researchers in library and information science: An exploratory study Open