Keke He
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View article: Research on the Problem of Smart Public Transport for the Elderly
Research on the Problem of Smart Public Transport for the Elderly Open
Intelligent transportation systems integrate numerous advanced technologies such as the Internet of Things, artificial intelligence, and cloud services, thereby forming a comprehensive and intelligent transportation service platform. Altho…
View article: HiFiVFS: High Fidelity Video Face Swapping
HiFiVFS: High Fidelity Video Face Swapping Open
Face swapping aims to generate results that combine the identity from the source with attributes from the target. Existing methods primarily focus on image-based face swapping. When processing videos, each frame is handled independently, m…
View article: MIMAFace: Face Animation via Motion-Identity Modulated Appearance Feature Learning
MIMAFace: Face Animation via Motion-Identity Modulated Appearance Feature Learning Open
Current diffusion-based face animation methods generally adopt a ReferenceNet (a copy of U-Net) and a large amount of curated self-acquired data to learn appearance features, as robust appearance features are vital for ensuring temporal st…
View article: Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control Open
Current face reenactment and swapping methods mainly rely on GAN frameworks, but recent focus has shifted to pre-trained diffusion models for their superior generation capabilities. However, training these models is resource-intensive, and…
View article: A pathology image segmentation framework based on deblurring and region proxy in medical decision-making system
A pathology image segmentation framework based on deblurring and region proxy in medical decision-making system Open
The cell nuclei in pathology images provide clinicians with important tissue information for diagnosis. However, cell nucleus segmentation faces various challenges such as image blurring, blurred cell nucleus boundaries, noise, and holes. …
View article: T-Pixel2Mesh: Combining Global and Local Transformer for 3D Mesh Generation from a Single Image
T-Pixel2Mesh: Combining Global and Local Transformer for 3D Mesh Generation from a Single Image Open
Pixel2Mesh (P2M) is a classical approach for reconstructing 3D shapes from a single color image through coarse-to-fine mesh deformation. Although P2M is capable of generating plausible global shapes, its Graph Convolution Network (GCN) oft…
View article: Asymptotic Multilayer Pooled Transformer Strategy in Medical Assisted Decision-Making Systems
Asymptotic Multilayer Pooled Transformer Strategy in Medical Assisted Decision-Making Systems Open
Medical image analysis is one of the most important tools used by medical professionals in clinical diagnosis to diagnose patients' conditions. Digital pathology images contain rich information that is more conducive to identifying tissue …
View article: Asymptotic Multilayer Pooled Transformer Strategy in Medical Assisted Decision-Making Systems
Asymptotic Multilayer Pooled Transformer Strategy in Medical Assisted Decision-Making Systems Open
Medical image analysis is one of the most important tools used by medical professionals in clinical diagnosis to diagnose patients' conditions. Digital pathology images contain rich information that is more conducive to identifying tissue …
View article: Two‐stage coarse‐to‐fine method for pathological images in medical decision‐making systems
Two‐stage coarse‐to‐fine method for pathological images in medical decision‐making systems Open
Artificial intelligence decision systems play an important supporting role in the field of medical information. Medical image analysis is an important part of decision systems and an even more important part of medical diagnosis and treatm…
View article: Image segmentation technology based on transformer in medical decision‐making system
Image segmentation technology based on transformer in medical decision‐making system Open
Due to the improvement in computing power and the development of computer technology, deep learning has pene‐trated into various fields of the medical industry. Segmenting lesion areas in medical scans can help clinicians make accurate dia…
View article: A Novel Medical Decision-Making System Based on Multi-Scale Feature Enhancement for Small Samples
A Novel Medical Decision-Making System Based on Multi-Scale Feature Enhancement for Small Samples Open
The medical decision-making system is an advanced system for patients that can assist doctors in their medical work. Osteosarcoma is a primary malignant tumor of the bone, due to its specificity, such as its blurred borders, diverse tumor …
View article: Effective Data Optimization and Evaluation Based on Social Communication with AI‐Assisted in Opportunistic Social Networks
Effective Data Optimization and Evaluation Based on Social Communication with AI‐Assisted in Opportunistic Social Networks Open
Billions of people around the world send and receive data over online networks daily. Sufficient and redundant data are transmitted over social platforms with AI‐assisted in 5G networks. In opportunistic social networks, the main challenge…
View article: Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition
Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition Open
Facial attribute recognition is an important and yet challenging research topic. Different from most previous approaches which predict attributes only based on the whole images, this paper leverages facial parts locations for better attrib…
View article: Research on Data Mining in Computer Aided Medical Diagnosing System
Research on Data Mining in Computer Aided Medical Diagnosing System Open
In the computer aided diagnosis system, the use of data mining in medical database is of great significance.This paper analyzes the characteristics of medical diagnosis system and expounds the key technology of data mining in medical diagn…
View article: A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild
A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild Open
Facial attribute analysis in the real world scenario is very challenging mainly because of complex face variations. Existing works of analyzing face attributes are mostly based on the cropped and aligned face images. However, this result i…