Latest Articles for Image Processing

Computer Vision and Pattern Recognition Human-Guided Image Generation: A New Era in Computer Vision

A fresh approach to enhance image datasets using human input.

Changjian Chen, Fei Lv, Yalong Guan

2025-02-06T15:06:18+00:00 ― 6 min read

Machine Learning Cracking the Code of Inverse Problems

New method improves results in solving complex inverse problems using diffusion models.

Henry Li, Marcus Pereira

2025-02-05T23:51:27+00:00 ― 6 min read

Optimization and Control Neural Networks Tackle Inverse Problems

Neural networks restore clarity in challenging inverse problems across various fields.

Emilie Chouzenoux, Cecile Della Valle, Jean-Christophe Pesquet

2025-02-04T14:12:50+00:00 ― 6 min read

Computer Vision and Pattern Recognition ImagePiece: Boosting Image Recognition Efficiency

A new method enhances image recognition performance with smart token management.

Seungdong Yoa, Seungjun Lee, Hyeseung Cho

2025-02-04T11:44:42+00:00 ― 7 min read

Computer Vision and Pattern Recognition Revamping AI Image Handling with SHIP

A new method called SHIP improves AI’s image tasks efficiently.

Haowei Zhu, Fangyuan Zhang, Rui Qin

2025-02-02T18:49:03+00:00 ― 6 min read

Machine Learning Strengthening Data Alignment: Tackling Outliers in Machine Learning

Improving Gromov-Wasserstein distance to handle outliers effectively in diverse data sets.

Anish Chakrabarty, Arkaprabha Basu, Swagatam Das

2025-02-02T14:33:56+00:00 ― 6 min read

Computer Vision and Pattern Recognition Improving Image Classifiers: Battling Distortion Challenges

Learn how to enhance image classifiers' reliability against distortions.

Dang Nguyen, Sunil Gupta, Kien Do

2025-02-02T11:35:42+00:00 ― 7 min read

Computation and Language Stylish In-Image Translation: A New Approach

Revolutionizing the way we translate text in images with style and context.

Chengpeng Fu, Xiaocheng Feng, Yichong Huang

2025-02-02T01:09:45+00:00 ― 6 min read

Computer Vision and Pattern Recognition Advancements in Character Recognition: DAGECC Competition Insights

Teams innovate in character recognition through the DAGECC competition.

Sofia Marino, Jennifer Vandoni, Emanuel Aldea

2025-02-01T01:53:24+00:00 ― 7 min read

Computer Vision and Pattern Recognition Shadows No More: A New Method for Image Clarity

A two-stage approach tackles shadow removal in images, enhancing object recognition.

Jiamin Xu, Yuxin Zheng, Zelong Li

2025-01-30T17:47:24+00:00 ― 6 min read

Computer Vision and Pattern Recognition Revolutionizing Image Quality Assessment

A new approach predicts image quality for both humans and machines.

Qi Zhang, Shanshe Wang, Xinfeng Zhang

2025-01-30T05:45:09+00:00 ― 7 min read

Computer Vision and Pattern Recognition Revolutionizing Object Orientation in Computer Vision

Learn how 3D models enhance object orientation estimation for tech applications.

Zehan Wang, Ziang Zhang, Tianyu Pang

2025-01-28T07:12:27+00:00 ― 7 min read

Machine Learning Revolutionizing Image Recovery: The MEM Method

Discover how the MEM method enhances image denoising through innovative techniques.

Matthew King-Roskamp, Rustum Choksi, Tim Hoheisel

2025-01-27T16:08:48+00:00 ― 6 min read

Computer Vision and Pattern Recognition RDPM: A New Wave in Image Generation

Discover how RDPM transforms image creation using advanced methods.

Xiaoping Wu, Jie Hu, Xiaoming Wei

2025-01-27T14:21:18+00:00 ― 8 min read

Machine Learning Enhancing Multi-View Clustering Techniques

Discover new strategies to improve multi-view clustering results in various fields.

Liang Du, Henghui Jiang, Xiaodong Li

2025-01-26T17:29:24+00:00 ― 5 min read

Computer Vision and Pattern Recognition Revolutionizing Image Understanding with ArSyD

ArSyD breaks down images for better machine understanding and manipulation.

Alexandr Korchemnyi, Alexey K. Kovalev, Aleksandr I. Panov

2025-01-26T12:40:30+00:00 ― 7 min read

Computer Vision and Pattern Recognition Revolutionizing Image Clustering with CgMCR

A new method improves how we cluster and analyze images.

W. He, Z. Huang, X. Meng

2025-01-26T00:38:15+00:00 ― 5 min read

Computer Vision and Pattern Recognition Revolutionizing Image Segmentation with OMTSeg

OMTSeg advances image segmentation by combining vision and language for better object recognition.

Yi-Chia Chen, Wei-Hua Li, Chu-Song Chen

2025-01-25T23:01:57+00:00 ― 8 min read

Computer Vision and Pattern Recognition Memory-Efficient UNet: A Game Changer in Image Processing

Discover how UNet tackles image processing challenges while saving memory.

Lingxiao Yin, Wei Tao, Dongyue Zhao

2025-01-25T17:24:00+00:00 ― 6 min read

Computer Vision and Pattern Recognition Understanding Color Spaces: A Deep Dive

Learn how color spaces affect image quality across devices.

Elvis Togban, Djemel Ziou

2025-01-23T07:38:06+00:00 ― 6 min read

Computer Vision and Pattern Recognition Detecting Fake Faces: The Future of Image Forgery Detection

New tools and datasets are improving the fight against altered images.

Jingchun Lian, Lingyu Liu, Yaxiong Wang

2025-01-22T23:36:36+00:00 ― 7 min read

Computer Vision and Pattern Recognition EchoSpot: A New Age in Text Spotting

EchoSpot revolutionizes how we find and read text in images.

Jing Li, Bo Wang

2025-01-22T05:57:18+00:00 ― 6 min read

Computer Vision and Pattern Recognition Ensuring AI Image Recognition Accuracy

Discover the importance of model assurance for AI image classifiers.

Dang Nguyen, Sunil Gupta

2025-01-21T21:55:48+00:00 ― 8 min read

Computer Vision and Pattern Recognition Advancements in Inverse Problems with CA-DPS

CA-DPS brings new hope for solving inverse problems in imaging.

Shayan Mohajer Hamidi, En-Hui Yang

2025-01-20T23:27:36+00:00 ― 6 min read

Computer Vision and Pattern Recognition Detecting AI-Generated Images: A New Approach

Learn how researchers are spotting AI-generated images with fresh methods.

Sungik Choi, Sungwoo Park, Jaehoon Lee

2025-01-20T21:03:09+00:00 ― 6 min read

Computer Vision and Pattern Recognition Mastering Table Recognition with VLLMs and NGTR

Advancements in table recognition using VLLMs improve performance with low-quality images.

Yitong Zhou, Mingyue Cheng, Qingyang Mao

2025-01-20T17:50:33+00:00 ― 6 min read

Computer Vision and Pattern Recognition Latent Drift: The Future of Medical Imaging

A new method is transforming how medical images are created for better healthcare.

Yousef Yeganeh, Ioannis Charisiadis, Marta Hasny

2025-01-20T17:02:24+00:00 ― 8 min read

Computer Vision and Pattern Recognition PTQ4VM: A New Path for Visual Mamba

PTQ4VM enhances Visual Mamba's performance through innovative quantization methods.

Younghyun Cho, Changhun Lee, Seonggon Kim

2025-01-19T08:08:15+00:00 ― 7 min read

Computer Vision and Pattern Recognition Reviving Blurry Faces: The Science of Restoration

Discover how blind face restoration brings clarity to blurry images.

Wanglong Lu, Jikai Wang, Tao Wang

2025-01-18T17:41:33+00:00 ― 6 min read

Computer Vision and Pattern Recognition Brightening Up Low-Light Photos with New Techniques

Innovative methods bring clarity to dark images, transforming our nighttime captures.

Han Zhou, Wei Dong, Xiaohong Liu

2025-01-18T04:51:09+00:00 ― 6 min read