16 citations · 17 across the 6 of their papers we have counts for
6 papers
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…
FalconNet: Factorization for the Light-weight ConvNets
Zhicheng Cai, Qiu Shen
Designing light-weight CNN models with little parameters and Flops is a prominent research concern. However, three significant issues persist in the current light-weight CNNs: i) t…
Evolution: A Unified Formula for Feature Operators from a High-level Perspective
Zhicheng Cai
Traditionally, different types of feature operators (e.g., convolution, self-attention and involution) utilize different approaches to extract and aggregate the features. Resemblan…