12 citations · 15 across the 6 of their papers we have counts for
4 papers · 1 filter
Accelerate Three-Dimensional Generative Adversarial Networks Using Fast Algorithm
Ziqi Su, Wendong Mao, Zhongfeng Wang +3
Three-dimensional generative adversarial networks (3D-GAN) have attracted widespread attention in three-dimension (3D) visual tasks. 3D deconvolution (DeConv), as an important comp…
An Efficient FPGA Accelerator for Point Cloud
Zilun Wang, Wendong Mao, Peixiang Yang +2
Deep learning-based point cloud processing plays an important role in various vision tasks, such as autonomous driving, virtual reality (VR), and augmented reality (AR). The subman…
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer
Siyuan Lu, Meiqi Wang, Shuang Liang +2
Designing hardware accelerators for deep neural networks (DNNs) has been much desired. Nonetheless, most of these existing accelerators are built for either convolutional neural ne…
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding
Siyuan Lu, Jinming Lu, Jun Lin +1
The Connectionist Temporal Classification (CTC) has achieved great success in sequence to sequence analysis tasks such as automatic speech recognition (ASR) and scene text recognit…