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20212024
most citedLearning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition

128 citations · 134 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024★ 1 cited

Stylizing Sparse-View 3D Scenes with Hierarchical Neural Representation

Y. Wang, A. Gao, Y. Gong +1

Recently, a surge of 3D style transfer methods has been proposed that leverage the scene reconstruction power of a pre-trained neural radiance field (NeRF). To successfully stylize…

cs.CV2023★ 1 cited

Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields

Yifan Wang, Yi Gong, Yuan Zeng

Recent advances in Neural radiance fields (NeRF) have enabled high-fidelity scene reconstruction for novel view synthesis. However, NeRF requires hundreds of network evaluations pe…

eess.SP2023★ 1 cited

Multi-Channel Attentive Feature Fusion for Radio Frequency Fingerprinting

Yuan Zeng, Yi Gong, Jiawei Liu +5

Radio frequency fingerprinting (RFF) is a promising device authentication technique for securing the Internet of things. It exploits the intrinsic and unique hardware impairments o…

cs.CV2023★ 1 cited

Learning to Scale Temperature in Masked Self-Attention for Image Inpainting

Xiang Zhou, Yuan Zeng, Yi Gong

Recent advances in deep generative adversarial networks (GAN) and self-attention mechanism have led to significant improvements in the challenging task of inpainting large missing…

cs.CV2022★ 2 cited

Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications

Junyong Wang, Yuan Zeng, Yi Gong

Accurate detection of objects in 3D point clouds is a key problem in autonomous driving systems. Collaborative perception can incorporate information from spatially diverse sensors…

eess.SP2021★ 128 cited

Learning of Time-Frequency Attention Mechanism for Automatic Modulation Recognition

Shangao Lin, Yuan Zeng, Yi Gong

Recent learning-based image classification and speech recognition approaches make extensive use of attention mechanisms to achieve state-of-the-art recognition power, which demonst…