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20212023
most citedCLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment

53 citations · 161 across the 15 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 1 cited

Searching the Search Space of Vision Transformer

Minghao Chen, Kan Wu, Bolin Ni +5

Vision Transformer has shown great visual representation power in substantial vision tasks such as recognition and detection, and thus been attracting fast-growing efforts on manua…

cs.CV2021★ 6 cited

Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions

Hongwei Xue, Tiankai Hang, Yanhong Zeng +5

We study joint video and language (VL) pre-training to enable cross-modality learning and benefit plentiful downstream VL tasks. Existing works either extract low-quality video fea…

cs.CV2021

A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation

Yupan Huang, Bei Liu, Jianlong Fu +1

A creative image-and-text generative AI system mimics humans' extraordinary abilities to provide users with diverse and comprehensive caption suggestions, as well as rich image cre…

cs.CV2021★ 37 cited

Unifying Multimodal Transformer for Bi-directional Image and Text Generation

Yupan Huang, Hongwei Xue, Bei Liu +1

We study the joint learning of image-to-text and text-to-image generations, which are naturally bi-directional tasks. Typical existing works design two separate task-specific model…

cs.CV2021

Learning Fine-Grained Motion Embedding for Landscape Animation

Hongwei Xue, Bei Liu, Huan Yang +3

In this paper we focus on landscape animation, which aims to generate time-lapse videos from a single landscape image. Motion is crucial for landscape animation as it determines ho…