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Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
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ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
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On the effects of quantisation on model uncertainty in Bayesian neural networks
Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues
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Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search
Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
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Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks
Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu, Jakub Stano, Wayne Luk
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Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA
Hongxiang Fan, Gang Wang, Martin Ferianc, Xinyu Niu, Wayne Luk
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F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition
Hongxiang Fan, Cheng Luo, Chenglong Zeng, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Wayne Luk
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A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA
Hongxiang Fan, Shuanglong Liu, Martin Ferianc, Ho-Cheung Ng, Zhiqiang Que, Shen Liu, Xinyu Niu, Wayne Luk
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