In recent years, the explosion of web videos makes text-video retrieval increasingly essential
and popular for video filtering, recommendation, and search. Text-video retrieval aims to …

Text-video retrieval attracts growing attention recently. A dominant approach is to learn a
common space for aligning two modalities. However, video deliver richer content than text in …

We address the image-to-video adaptation task that aims to leverage labeled images and
unlabeled videos for video recognition. There are two major challenges in this task …

Despite the recent emergence of video captioning models, how to generate the text
description with specific entity names and fine-grained actions is far from being solved …

Image-to-Video adaptation is proposed to train a model using labeled images and
unlabeled videos to facilitate the classification of unlabeled videos. The latest work …

Extensive research has proven that self-attention achieves impressive performance in video-
text retrieval. However, most state-of-the-art methods neglect the intrinsic redundancy in …

Despite the recent emergence of video captioning models, how to generate the text
description with specific entity names and fine-grained actions is far from being solved …

Video captioning, which aims to automatically generate video captions, has gained
significant attention due to its wide range of applications in video surveillance and retrieval …