517 citations · 1.7k across the 49 of their papers we have counts for
12 papers · 1 filter
Contrastive Video-Language Segmentation
Chen Liang, Yawei Luo, Yu Wu +1
We focus on the problem of segmenting a certain object referred by a natural language sentence in video content, at the core of formulating a pinpoint vision-language relation. Whi…
Saying the Unseen: Video Descriptions via Dialog Agents
Ye Zhu, Yu Wu, Yi Yang +1
Current vision and language tasks usually take complete visual data (e.g., raw images or videos) as input, however, practical scenarios may often consist the situations where part…
Less is More: Sparse Sampling for Dense Reaction Predictions
Kezhou Lin, Xiaohan Wang, Zhedong Zheng +2
Obtaining viewer responses from videos can be useful for creators and streaming platforms to analyze the video performance and improve the future user experience. In this report, w…
Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation
Chen Liang, Yu Wu, Tianfei Zhou +4
Referring video object segmentation (RVOS) aims to segment video objects with the guidance of natural language reference. Previous methods typically tackle RVOS through directly gr…
Faster Meta Update Strategy for Noise-Robust Deep Learning
Youjiang Xu, Linchao Zhu, Lu Jiang +1
It has been shown that deep neural networks are prone to overfitting on biased training data. Towards addressing this issue, meta-learning employs a meta model for correcting the t…
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
Xiaohan Wang, Linchao Zhu, Yi Yang
Text-video retrieval is a challenging task that aims to search relevant video contents based on natural language descriptions. The key to this problem is to measure text-video simi…