Robust Sequential Deepfake Detection

Information Science, Computer Science, Artificial Intelligence,
deepfake detection   sequential facial manipulation   multimodal learning   image-to-sequence task   robust detection  

Robust Sequential Deepfake Detection Academic Background With the rapid development of deep generative models (such as GANs), generating photorealistic facial images has become increasingly easy. However, the misuse of this technology has raised significant security concerns, particularly with the rise of Deepfake technology. Deepfake technology ca...

Heuristic Underwater Perceptual Enhancement with Semantic Collaborative Learning

Engineering, Ocean Engineering, Information Science, Computer Science, Artificial Intelligence,
underwater image enhancement   deep learning   color correlation   object detection   semantic collaborative learning   invertible network   heuristic prior  

Academic Background and Problem Statement Underwater images have significant application value in fields such as marine exploration, underwater robotics, and marine life identification. However, due to the refraction and absorption of light by water, underwater images often suffer from low contrast and color distortion, which severely impacts the a...

Blind Image Quality Assessment: Exploring Content Fidelity Perceptibility via Quality Adversarial Learning

Information Science, Computer Science, Artificial Intelligence,
image quality assessment   no reference   quality adversarial learning   content fidelity   deep learning   image restoration   visual perception  

Exploring Content Fidelity Perceptibility via Quality Adversarial Learning Academic Background Image Quality Assessment (IQA) is a fundamental problem in the field of computer vision, aiming to evaluate the fidelity of visual content in images. IQA has significant applications in areas such as image compression and restoration. Traditional IQA meth...

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Imaging,
neural networks   instance segmentation   pathological images   structural re-parameterization   boundary regression   nucleus segmentation   pathological diagnosis  

Report on the Paper “RepsNet: A Nucleus Instance Segmentation Model Based on Boundary Regression and Structural Re-parameterization” Academic Background Pathological diagnosis is the gold standard for tumor diagnosis, and nucleus instance segmentation is a key step in digital pathology analysis and pathological diagnosis. However, the computational...

CSFRNet: Integrating Clothing Status Awareness for Long-Term Person Re-Identification

Information Science, Computer Science, Artificial Intelligence,
long-term person re-identification   clothing status awareness   feature regularization   deep learning   visual surveillance  

Report on the Paper “CSFRNet: Integrating Clothing Status Awareness for Long-Term Person Re-Identification” Introduction Person Re-Identification (Re-ID) is a critical task in visual surveillance, aiming to match individuals across non-overlapping cameras captured at different times and locations. The challenge becomes more complex in Long-Term Per...

Pseudo-Plane Regularized Signed Distance Field for Neural Indoor Scene Reconstruction

Information Science, Computer Science, Artificial Intelligence,
scene reconstruction   neural surface reconstruction   implicit representation   plane regularized reconstruction   indoor scenes   computer vision   3D reconstruction  

Pseudo-Plane Regularized Signed Distance Field for Neural Indoor Scene Reconstruction Academic Background 3D reconstruction of indoor scenes is a significant task in computer vision with broad applications, such as computer graphics and virtual reality. Traditional 3D reconstruction methods often rely on expensive 3D ground truth data. In recent ye...