no code implementations • 1 Oct 2023 • Xiangyu Zeng, Jie Lin, Piao Hu, Ruizheng Huang, Zhicheng Zhang
How humans and machines make sense of current inputs for relation reasoning and question-answering while putting the perceived information into context of our past memories, has been a challenging conundrum in cognitive science and artificial intelligence.
no code implementations • ICCV 2021 • Xiaohan Fei, Henry Wang, Xiangyu Zeng, Lin Lee Cheong, Meng Wang, Joseph Tighe
We propose a fully automated system that simultaneously estimates the camera intrinsics, the ground plane, and physical distances between people from a single RGB image or video captured by a camera viewing a 3-D scene from a fixed vantage point.
no code implementations • IJCNLP 2019 • Yilin Shen, Xiangyu Zeng, Hongxia Jin
ProgModel consists of a novel context gate that transfers previously learned knowledge to a small size expanded component; and meanwhile enables this new component to be fast trained to learn from new data.
no code implementations • 18 Sep 2018 • Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin
The results show that our approach leverages such simple user information to outperform state-of-the-art approaches by 0. 25% for intent detection and 0. 31% for slot filling using standard training data.
no code implementations • 2 Jun 2015 • Xiangyu Zeng, Shi Yin, Dong Wang
A significant performance reduction is often observed in speech recognition when the rate of speech (ROS) is too low or too high.