1 code implementation • 15 Jun 2023 • Chong Liu, Yuqi Zhang, Hongsong Wang, Weihua Chen, Fan Wang, Yan Huang, Yi-Dong Shen, Liang Wang
Most previous works either simply learn coarse-grained representations of the overall image and text, or elaborately establish the correspondence between image regions or pixels and text words.
1 code implementation • ICCV 2021 • Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, ZongYuan Ge, Yi-Dong Shen
Then, we cross-connect the key views of different scenes to construct augmented scenes.
Ranked #38 on Vision and Language Navigation on VLN Challenge
1 code implementation • 14 May 2021 • Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
Multi-Target Multi-Camera Tracking has a wide range of applications and is the basis for many advanced inferences and predictions.
no code implementations • 1 Oct 2020 • Yi-Dong Shen, Thomas Eiter
Recently, the notions of subjective constraint monotonicity, epistemic splitting, and foundedness have been introduced for epistemic logic programs, with the aim to use them as main criteria respectively intuitions to compare different answer set semantics proposed in the literature on how they comply with these intuitions.
no code implementations • CVPR 2020 • Chong Liu, Xiaojun Chang, Yi-Dong Shen
To solve this problem, we propose a UnityStyle adaption method, which can smooth the style disparities within the same camera and across different cameras.
no code implementations • ECCV 2018 • Xiaojun Chang, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann
In this paper, we address this problem by training relational context-aware agents which learn the actions to localize the target person from the gallery of whole scene images.
2 code implementations • 15 Nov 2017 • Zhedong Zheng, Liang Zheng, Michael Garrett, Yi Yang, Mingliang Xu, Yi-Dong Shen
In this paper, we propose a new system to discriminatively embed the image and text to a shared visual-textual space.
Ranked #1 on Cross-Modal Retrieval on CUHK-PEDES
1 code implementation • 3 Apr 2015 • Liang Du, Yi-Dong Shen
Traditional unsupervised methods select the features which can faithfully preserve the intrinsic structures of data, where the intrinsic structures are estimated using all the input features of data.