Qingming Huang

A novel approach to accurately describe differences between images.

A new method for improved semantic segmentation with limited examples.

A technology-driven approach to improve taxi safety and compliance.

A fresh method tackles long-tail recognition issues in machine learning with improved data handling.

A new approach enhances the ability to describe changes in images accurately.

Explore the risks and defenses in rank aggregation processes.

A new evaluation measure improves model performance in multi-label classification tasks.

New methods improve accuracy in describing image changes amid distractions.

CoCN enhances graph representation learning through innovative message-passing techniques.

A new method improves outlier detection in multi-view datasets with missing views.

A new method enhances recommendations by considering diverse user interests.

A method to effectively find trending topics on the internet.

AUCSeg improves segmentation by addressing class imbalance in image processing.

Discover how SNELL tackles memory challenges in machine learning fine-tuning.

Learn how new frameworks enhance video search and understanding.