W. Mao

A Reconfigurable Accelerator for Generative Adversarial Network Training Based on FPGA

Zhongfeng Wang, Tongtong Yin, W. Mao, 2021, 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

A Memory-Efficient Hardware Architecture for Deformable Convolutional Networks

Zhongfeng Wang, Jiapeng Luo, W. Mao, 2021, 2021 IEEE Workshop on Signal Processing Systems (SiPS).

LITNet: A Light-weight Image Transform Net for Image Style Transfer

Zhongfeng Wang, Huihong Shi, W. Mao, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Methodology for Efficient Reconfigurable Architecture of Generative Neural Network

Zhongfeng Wang, Jichen Wang, Wendong Mao, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

A robust framework for multi-view stereopsis

Hui Huang, Minglun Gong, Wendong Mao, 2021, The Visual Computer.

A Global-Matching Framework for Multi-View Stereopsis

Xin Huang, Minglun Gong, Hao Cai, 2019, CAIP.

SiamesePointNet: A Siamese Point Network Architecture for Learning 3D Shape Descriptor

Minglun Gong, Xiuping Liu, J. Zhou, 2020, Comput. Graph. Forum.

No-reference image sharpness assessment based on discrepancy measures of structural degradation

Minglun Gong, Hao Cai, Mingjie Wang, 2020, J. Vis. Commun. Image Represent..

BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis

Hao Zhang, Zili Yi, Minglun Gong, 2018, IEEE Transactions on Image Processing.

An Efficient FPGA Accelerator for Point Cloud

Zhongfeng Wang, Jun Lin, W. Mao, 2022, 2022 IEEE 35th International System-on-Chip Conference (SOCC).