1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2018★ 1 cited
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
Zhe Li, Caiwen Ding, Siyue Wang +8
Recurrent Neural Networks (RNNs) are becoming increasingly important for time series-related applications which require efficient and real-time implementations. The two major types…
cs.CV2018
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography
Chang Liu, Xiangrui Zeng, Kaiwen Wang +2
Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells. For systematic reco…
q-bio.QM2018
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms
Chang Liu, Xiangrui Zeng, Ruogu Lin +4
Cellular Electron Cryo-Tomography (CECT) is a powerful imaging technique for the 3D visualization of cellular structure and organization at submolecular resolution. It enables anal…