no code implementations • 5 Mar 2024 • Cheng Huang, Shoudong Han, Mengyu He, Wenbo Zheng, Yuhao Wei
Moreover, DeconfuseTrack achieves state-of-the-art performance on the MOT17 and MOT20 test sets, significantly outperforms the baseline tracker ByteTrack in metrics such as HOTA, IDF1, AssA.
no code implementations • 28 Feb 2024 • Bing Li, Dong Zhang, Cheng Huang, Yun Xian, Ming Li, Dah-Jye Lee
Camera with a fisheye or ultra-wide lens covers a wide field of view that cannot be modeled by the perspective projection.
no code implementations • 28 Nov 2021 • Cheng Huang, Hui Zhou, Chunyang Ye, Bingzhuo Li
To address this issue, we propose a code clone detection method based on semantic similarity.
1 code implementation • 21 Sep 2021 • Elnaz Rezaian, Cheng Huang, Karthik Duraisamy
Balanced truncation (BT) is a model reduction method that utilizes a coordinate transformation to retain eigen-directions that are highly observable and reachable.
1 code implementation • 6 Aug 2020 • Shane A. McQuarrie, Cheng Huang, Karen Willcox
With appropriate regularization and an informed selection of learning variables, the reduced-order models exhibit high accuracy in re-predicting the training regime and acceptable accuracy in predicting future dynamics, while achieving close to a million times speedup in computational cost.
Computational Engineering, Finance, and Science J.2
2 code implementations • 9 Aug 2019 • Renee Swischuk, Boris Kramer, Cheng Huang, Karen Willcox
The machine learning perspective brings the flexibility to use transformed physical variables to define the POD basis.
no code implementations • 1 Aug 2019 • Yunyou Huang, Nana Wang, Wanling Gao, Xiaoxu Guo, Cheng Huang, Tianshu Hao, Jianfeng Zhan
As a consequence, the deep learning methods are difficult to be popularized and applied in the real smart grid environment.
no code implementations • 4 Nov 2015 • Cheng Huang, Xiaoming Huo
A potential application of the one-step approach is that one can use multiple machines to speed up large scale statistical inference with little compromise in the quality of estimators.