Latest Articles for Computer Vision

PuTR offers a real-time solution for long-term object tracking in videos.

Addressing data augmentation issues for better performance in Vision Transformers.

A new approach improves the security of neural networks against adversarial examples.

LookHere enhances ViT performance on high-resolution images through improved position encoding.

A new approach aligns language models with video content using textual simulations.

New model architectures improve machine learning through advanced feature interactions.

Combining models enhances hyperspectral image classification accuracy.

This method merges deep learning and math for improved image inpainting.

A new method improves how models explain image interpretations using WordNet.

A new model helps machines interpret complex shapes from light and shadow.

A method to improve object detection across unseen environments using single-source domain training.

Capsule Networks improve object recognition with unique structures and learning methods.

A new method improves the quality of point cloud data for various applications.

Harmony improves machine learning efficiency in understanding images and videos.

New methods improve efficiency in face morphing using diffusion models.

Researchers improve aerial detection accuracy using diverse synthetic human poses.

Learn how Steerable Transformers improve image processing and classification.

Examining how geometric complexity impacts model performance in transfer learning.

This article discusses hallucinations in LVLMs and proposes methods to tackle them.

HDC framework improves object recognition using language descriptions in images.

A method enhancing image classification for multiple objects over time.

A new model improves image labeling using multiple data sources.

A new method enhances text-to-image models using structured scene graphs.

A new method enhances example selection for visual learning tasks.

Exploring synthetic data's role in improving aerial human detection systems.

Exploring the use of LLMs for enhancing low-level vision tasks like denoising and deblurring.

A new method for creating datasets automatically enhances machine learning efficiency.

A new method combines tangible and intangible tokens for better visual comprehension.

This article discusses video prediction models and their use in instance segmentation tasks.

New method aims to improve the safety of text-to-image generation.

A new approach connects visual data with its meanings for better reasoning.

A new hybrid system combines optical and electronic methods for efficient image classification.

Deep-PE enhances pose selection accuracy in low-overlap point cloud scenarios.

A new method improves motion estimation using adaptive finite element meshes.

DMPlug enhances recovery methods for inverse problems using pretrained diffusion models.

A new model improves Transformers by combining sensory and relational information.

CoACT enhances foundation models' ability to learn new classes efficiently.

A new approach enhances mapping and tracking using RGB images.

A new method streamlines creating customized images from a single image and short text.

New benchmark aims to improve AI understanding of text and images.