22 citations · 62 across the 8 of their papers we have counts for
8 papers
Learning in the Frequency Domain
Kai Xu, Minghai Qin, Fei Sun +3
Deep neural networks have achieved remarkable success in computer vision tasks. Existing neural networks mainly operate in the spatial domain with fixed input sizes. For practical…
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
Kai Xu, Zhikang Zhang, Fengbo Ren
This paper addresses the single-image compressive sensing (CS) and reconstruction problem. We propose a scalable Laplacian pyramid reconstructive adversarial network (LAPRAN) that…
LCANet: End-to-End Lipreading with Cascaded Attention-CTC
Kai Xu, Dawei Li, Nick Cassimatis +1
Machine lipreading is a special type of automatic speech recognition (ASR) which transcribes human speech by visually interpreting the movement of related face regions including li…
A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
Yixing Li, Zichuan Liu, Kai Xu +2
FPGA-based hardware accelerators for convolutional neural networks (CNNs) have obtained great attentions due to their higher energy efficiency than GPUs. However, it is challenging…
A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing
Kai Xu, Yixing Li, Fengbo Ren
Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring. However, conventional model-driven CS frameworks…
CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing
Kai Xu, Fengbo Ren
This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS). Unlike prior works that perform reconstruction using iterative opti…