Latest Articles for Image Processing

This study explores domain adaptation techniques for deep learning on encrypted data.

This article introduces a novel method for skeletonizing 3D images compatible with deep learning.

A new method enhances synthetic nuclei images for better segmentation performance.

Researchers tackle image understanding with the NICE challenge.

Using unpaired image translation to enhance surgical training data quality.

New methods improve underwater photo quality for marine research and protection.

RepSGG enhances scene understanding by addressing representation and data challenges.

A new method to estimate uncertainty in pre-trained NeRFs without retraining.

PDiscoNet improves fine-grained classification with minimal labels and effective part discovery.

CR-VAE enhances VAEs by reducing posterior collapse and improving data representations.

MAD offers a new approach to improve medical image alignment across different techniques.

A novel approach evaluates image beauty using learnable queries for better results.

DermoSegDiff improves accuracy in identifying skin lesions, aiding early diagnosis.

Explore how matrices help analyze point configurations in computer vision.

ProPainter improves video inpainting through innovative methods for realistic restoration.

A new method enhances privacy for images collected by fisheye cameras in self-driving cars.

Combining GANs and VAEs for better image generation.

A deep dive into how small changes can mislead classifiers.

New model improves object recognition for enhanced road safety.

A new method for effective noise reduction in dark photography.

Introducing a framework for efficient 3D toonification while preserving original features.

A new method enhances the connection between text prompts and generated images.

Innovative methods for object segmentation from text descriptions are emerging.

A fresh approach to instance segmentation evaluation metrics is presented.

A novel approach improves segmentation of cell nuclei using semi-supervised learning.

A study on how RNNs learn and adapt their object classifications.

SDLFormer combines advanced techniques for better MRI image quality and faster processing.

Framework detects important shared objects in images without prior training.

A look into methods for recovering low rank matrices from incomplete data.

Learn how approximation theory simplifies complex functions for practical applications.

ATDCnet improves underwater image clarity and color through innovative methods.

DCMIX improves analysis of high content imaging data by estimating channel importance efficiently.

Pixel retrieval offers precise image search by focusing on specific pixels.

New techniques enhance Vision Transformers for better performance with small datasets.

This article presents a new model combining image compression and classification for improved efficiency.

A new tool improves clarity in fluorescence imaging through background inversion.

This article discusses Guided Cropping's impact on classifying small objects in images.

A new method improves image convolution without padding, enhancing quality and efficiency.

This research uses AI to enhance detection of photons in particle physics.

A new method improves underwater photography by addressing light challenges.