2 code implementations • 5 Apr 2024 • Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai
Pre-trained deep learning (DL) models are increasingly accessible in public repositories, i. e., model zoos.
no code implementations • 11 Jan 2024 • Ziyu Li, Donghwan Shin
We apply different types of code mutations, such as operator replacement and statement deletion, to generate inconsistent code-description pairs.
1 code implementation • ICCV 2023 • Ziyu Li, Jingming Guo, Tongtong Cao, Liu Bingbing, Wankou Yang
LiDAR-based 3D detection has made great progress in recent years.
no code implementations • 19 Jul 2022 • Ziyu Li, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos
Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes.
1 code implementation • 2 Dec 2021 • Mehmet Yigit Avci, Ziyu Li, Qiuyun Fan, Susie Huang, Berkin Bilgic, Qiyuan Tian
Dropout is conventionally used during the training phase as regularization method and for quantifying uncertainty in deep learning.
1 code implementation • 14 Nov 2021 • Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jonathan R. Polimeni, Berkin Bilgic, David H. Salat, Susie Y. Huang
The noise in diffusion-weighted images (DWIs) decreases the accuracy and precision of diffusion tensor magnetic resonance imaging (DTI) derived microstructural parameters and leads to prolonged acquisition time for achieving improved signal-to-noise ratio (SNR).
no code implementations • CVPR 2021 • Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
In this paper, a unified multi-path framework for automatic surgical skill assessment is proposed, which takes care of multiple composing aspects of surgical skills, including surgical tool usage, intraoperative event pattern, and other skill proxies.
1 code implementation • 29 Mar 2021 • Ziyu Li, Yuncong Yao, Zhibin Quan, Wankou Yang, Jin Xie
Specifically, we design the Spatial Information Enhancement (SIE) module to predict the spatial shapes of the foreground points within proposals, and extract the structure information to learn the representative features for further box refinement.
1 code implementation • 17 Feb 2021 • Qiyuan Tian, Ziyu Li, Qiuyun Fan, Chanon Ngamsombat, Yuxin Hu, Congyu Liao, Fuyixue Wang, Kawin Setsompop, Jonathan R. Polimeni, Berkin Bilgic, Susie Y. Huang
High-resolution diffusion tensor imaging (DTI) is beneficial for probing tissue microstructure in fine neuroanatomical structures, but long scan times and limited signal-to-noise ratio pose significant barriers to acquiring DTI at sub-millimeter resolution.
1 code implementation • 27 Aug 2020 • Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
In the experiments on the binary instrument segmentation task of the 2017 MICCAI EndoVis Robotic Instrument Segmentation Challenge dataset, the proposed method achieves 0. 71 IoU and 0. 81 Dice score without using a single manual annotation, which is promising to show the potential of unsupervised learning for surgical tool segmentation.
no code implementations • 27 Aug 2020 • Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
Then an objective and automated framework based on neural network is proposed to predict surgical skills through the proxy of COF.
2 code implementations • 21 Apr 2020 • He Zhang, Liang Zhang, Ang Lin, Congcong Xu, Ziyu Li, Kaibo Liu, Boxiang Liu, Xiaopin Ma, Fanfan Zhao, Weiguo Yao, Hangwen Li, David H. Mathews, Yujian Zhang, Liang Huang
Messenger RNA (mRNA) vaccines are being used for COVID-19, but still suffer from the critical issue of mRNA instability and degradation, which is a major obstacle in the storage, distribution, and efficacy of the vaccine.
2 code implementations • 19 Oct 2018 • Yaming Wang, Xiao Tan, Yi Yang, Ziyu Li, Xiao Liu, Feng Zhou, Larry S. Davis
Existing 3D pose datasets of object categories are limited to generic object types and lack of fine-grained information.