no code implementations • EMNLP 2020 • Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua
By providing a schema linking corpus based on the Spider text-to-SQL dataset, we systematically study the role of schema linking.
1 code implementation • 31 Jan 2024 • Xingning Dong, Qingpei Guo, Tian Gan, Qing Wang, Jianlong Wu, Xiangyuan Ren, Yuan Cheng, Wei Chu
By employing one shared BERT-type network to refine textual and cross-modal features simultaneously, SNP is lightweight and could support various downstream applications.
no code implementations • 9 Jan 2024 • Xuzheng Yu, Chen Jiang, Wei zhang, Tian Gan, Linlin Chao, Jianan Zhao, Yuan Cheng, Qingpei Guo, Wei Chu
With the explosive growth of video data in real-world applications, a comprehensive representation of videos becomes increasingly important.
2 code implementations • 1 Dec 2023 • Xiao Wang, Yaoyu Li, Tian Gan, Zheng Zhang, Jingjing Lv, Liqiang Nie
Recent advancements in video-language understanding have been established on the foundation of image-text models, resulting in promising outcomes due to the shared knowledge between images and videos.
1 code implementation • 21 Aug 2023 • Yutao Chen, Xingning Dong, Tian Gan, Chunluan Zhou, Ming Yang, Qingpei Guo
Compared with images, we conjecture that videos necessitate more constraints to preserve the temporal consistency during editing.
1 code implementation • 14 Aug 2023 • Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie
The goal of TSGSV is to evaluate the relevance between a video stream and a given sentence query.
1 code implementation • 15 Mar 2023 • Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie
Existing methods mostly focus on analyzing video content, neglecting users' social influence and tag relation.
1 code implementation • CVPR 2023 • Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie
In the meantime, we make full use of the structured information in the hierarchical labels to learn an accurate affinity graph for contrastive learning.
1 code implementation • CVPR 2023 • Tian Gan, Qing Wang, Xingning Dong, Xiangyuan Ren, Liqiang Nie, Qingpei Guo
Though there are certain methods studying the Chinese video-text pre-training, they pre-train their models on private datasets whose videos and text are unavailable.
1 code implementation • CVPR 2022 • Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie
Scene Graph Generation, which generally follows a regular encoder-decoder pipeline, aims to first encode the visual contents within the given image and then parse them into a compact summary graph.
Ranked #1 on Unbiased Scene Graph Generation on Visual Genome (mR@20 metric)
1 code implementation • 23 Nov 2018 • Cunxiao Du, Zhaozheng Chin, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie
To address this problem, we introduce the interaction mechanism to incorporate word-level matching signals into the text classification task.
Ranked #4 on Text Classification on Yahoo! Answers