20 citations · 53 across the 6 of their papers we have counts for
6 papers · 1 filter
Relation-Aware Diffusion Model for Controllable Poster Layout Generation
Fengheng Li, An Liu, Wei Feng +8
Poster layout is a crucial aspect of poster design. Prior methods primarily focus on the correlation between visual content and graphic elements. However, a pleasant layout should…
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
Hongyi Pan, Xin Zhu, Salih Atici +1
In this paper, we propose a novel Hadamard Transform (HT)-based neural network layer for hybrid quantum-classical computing. It implements the regular convolutional layers in the H…
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets
Hongyi Pan, Emadeldeen Hamdan, Xin Zhu +2
In this paper, we propose a set of transform-based neural network layers as an alternative to the Conv2D layers in Convolutional Neural Networks (CNNs). The proposed lay…
CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection
Xi Zhao, Wei Feng, Zheng Zhang +5
Recently, segmentation-based methods are quite popular in scene text detection, which mainly contain two steps: text kernel segmentation and expansion. However, the segmentation pr…
DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer
Hongyi Pan, Xin Zhu, Salih Atici +1
In this paper, we propose a novel Discrete Cosine Transform (DCT)-based neural network layer which we call DCT-perceptron to replace the Conv2D layers in the Residual ne…
Learning Chained Deep Features and Classifiers for Cascade in Object Detection
Wanli Ouyang, Ku Wang, Xin Zhu +1
Cascade is a widely used approach that rejects obvious negative samples at early stages for learning better classifier and faster inference. This paper presents chained cascade net…