no code implementations • 8 Jun 2023 • Gongshu Wang, Ning Jiang, Yunxiao Ma, Tiantian Liu, Duanduan Chen, Jinglong Wu, Guoqi Li, Dong Liang, Tianyi Yan
In this work, we propose a connectional style contextual representation learning model (CS-CRL) to capture the intrinsic pattern of the brain, used for multiple brain disease diagnosis.
1 code implementation • 6 Jun 2022 • Yu Fang, Jiancheng Liu, Mingrui Zhang, Jiasheng Zhang, Yidong Ma, Minchen Li, Yuanming Hu, Chenfanfu Jiang, Tiantian Liu
Differentiable physics enables efficient gradient-based optimizations of neural network (NN) controllers.
1 code implementation • 8 Oct 2020 • Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, Lidan Shou
Indoor location-based services (LBS), such as POI search and routing, are often built on top of typical indoor spatial queries.
Databases Data Structures and Algorithms
no code implementations • 24 Apr 2020 • Rui Xu, Tiantian Liu, Xinchen Ye, Yen-Wei Chen
Many deep learning based methods have been proposed for retinal vessel segmentation, however few of them focus on the connectivity of segmented vessels, which is quite important for a practical computer-aided diagnosis system on retinal images.
no code implementations • 7 Jun 2018 • Tiantian Liu, Yair Goldberg
For the quadratic loss, we then propose a family of doubly-robust kernel machines.
no code implementations • 25 Apr 2016 • Tiantian Liu, Sofien Bouaziz, Ladislav Kavan
In this paper, we show that Projective Dynamics can be interpreted as a quasi-Newton method.
Graphics