16 citations · 17 across the 5 of their papers we have counts for
5 papers
Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space
Zhicheng Cai, Hao Zhu, Linsen Chen +2
Implicit neural representation (INR) models signals as continuous functions using neural networks, offering efficient and differentiable optimization for inverse problems across di…
Towards the Spectral bias Alleviation by Normalizations in Coordinate Networks
Zhicheng Cai, Hao Zhu, Qiu Shen +2
Representing signals using coordinate networks dominates the area of inverse problems recently, and is widely applied in various scientific computing tasks. Still, there exists an…
Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
Zhicheng Cai
Implicit neural representation (INR) has recently emerged as a promising paradigm for signal representations. Typically, INR is parameterized by a multiplayer perceptron (MLP) whic…
Encoding Semantic Priors into the Weights of Implicit Neural Representation
Zhicheng Cai, Qiu Shen
Implicit neural representation (INR) has recently emerged as a promising paradigm for signal representations, which takes coordinates as inputs and generates corresponding signal v…
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNets
Zhicheng Cai, Xiaohan Ding, Qiu Shen +1
We propose Re-parameterized Refocusing Convolution (RefConv) as a replacement for regular convolutional layers, which is a plug-and-play module to improve the performance without a…