27 citations · 32 across the 4 of their papers we have counts for
4 papers · 1 filter
Too Large; Data Reduction for Vision-Language Pre-Training
Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang +2
This paper examines the problems of severe image-text misalignment and high redundancy in the widely-used large-scale Vision-Language Pre-Training (VLP) datasets. To address these…
Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
Jay Zhangjie Wu, Yixiao Ge, Xintao Wang +7
To replicate the success of text-to-image (T2I) generation, recent works employ large-scale video datasets to train a text-to-video (T2V) generator. Despite their promising results…
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task
Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu +4
VQA is an ambitious task aiming to answer any image-related question. However, in reality, it is hard to build such a system once for all since the needs of users are continuously…
AssistQ: Affordance-centric Question-driven Task Completion for Egocentric Assistant
Benita Wong, Joya Chen, You Wu +4
A long-standing goal of intelligent assistants such as AR glasses/robots has been to assist users in affordance-centric real-world scenarios, such as "how can I run the microwave f…