1 code implementation • 8 Aug 2021 • Jing Liang, Li Niu, Fengjun Guo, Teng Long, Liqing Zhang
In the refinement stage, we integrate multi-level features to improve the texture quality of watermarked area.
no code implementations • 16 Oct 2020 • Teng Long, Qing-Shan Jia
The transition to the zero-carbon power system is underway accelerating recently.
1 code implementation • CVPR 2020 • Teng Long, Pascal Mettes, Heng Tao Shen, Cees G. M. Snoek
Starting from the observation that hierarchies are mostly ignored in the action literature, we retrieve not only individual actions but also relevant and related actions, given an action name or video example as input.
no code implementations • 10 Nov 2019 • Teng Long, Yanshuai Cao, Jackie Chi Kit Cheung
Variational autoencoders (VAEs) hold great potential for modelling text, as they could in theory separate high-level semantic and syntactic properties from local regularities of natural language.
1 code implementation • ACL 2019 • Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
Coherence is an important aspect of text quality and is crucial for ensuring its readability.
no code implementations • EMNLP 2017 • Teng Long, Emmanuel Bengio, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup
Humans interpret texts with respect to some background information, or world knowledge, and we would like to develop automatic reading comprehension systems that can do the same.
no code implementations • 1 Oct 2016 • Jia Xu, Zu-Zhen Huang, Zhi-Rui Wang, Li Xiao, Xiang-Gen Xia, Teng Long
Accordingly, the multichannel SAR systems with different parameters are investigated in three different cases with diverse Doppler ambiguity properties, and a multi-frequency SAR is then proposed to obtain the RV estimation by solving the ambiguity problem based on Chinese remainder theorem (CRT).
no code implementations • ACL 2016 • Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup
Recent work in learning vector-space embeddings for multi-relational data has focused on combining relational information derived from knowledge bases with distributional information derived from large text corpora.