CHEN Lab

Learning scene graphs from natural language descriptions has proven to be a cheap and promising scheme for Scene Graph Generation (SGG). However, such unstructured caption...

Video thumbnail plays an essential role in summarizing video content into a compact and concise image for users to browse efficiently. However, automatically generating attractive...

Transformer models have made tremendous progress in various fields in recent years. In the field of computer vision, vision transformers (ViTs) also become strong alternatives...

Since the release of various large-scale natural language processing (NLP) pre-trained models, parameter efficient transfer learning (PETL) has become a popular paradigm capable of achieving...

The objective of this work is to explore how to effectively and efficiently adapt pre-trained visual foundation models to downstream tasks, e.g., image semantic segmentation....

Finding relevant moments and highlights in videos according to natural language queries is a natural and highly valuable common need in the current video content...