5 citations · 13 across the 8 of their papers we have counts for
8 papers
StylePrompter: All Styles Need Is Attention
Chenyi Zhuang, Pan Gao, Aljosa Smolic
GAN inversion aims at inverting given images into corresponding latent codes for Generative Adversarial Networks (GANs), especially StyleGAN where exists a disentangled latent spac…
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Zihao Li, Pan Gao, Hui Yuan +2
Discovering inter-point connection for efficient high-dimensional feature extraction from point coordinate is a key challenge in processing point cloud. Most existing methods focus…
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation
Lihua Fu, Haoyue Tian, Xiangping Bryce Zhai +2
Semantic segmentation usually benefits from global contexts, fine localisation information, multi-scale features, etc. To advance Transformer-based segmenters with these aspects, w…
MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation
Jing Xu, Wentao Shi, Pan Gao +2
In recent works on semantic segmentation, there has been a significant focus on designing and integrating transformer-based encoders. However, less attention has been given to tran…
SSformer: A Lightweight Transformer for Semantic Segmentation
Wentao Shi, Jing Xu, Pan Gao
It is well believed that Transformer performs better in semantic segmentation compared to convolutional neural networks. Nevertheless, the original Vision Transformer may lack of i…
Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework
Xiaojiang Peng, Xiaomao Fan, Qingyang Wu +2
Automatic smoky vehicle detection in videos is a superior solution to the traditional expensive remote sensing one with ultraviolet-infrared light devices for environmental protect…
Video Frame Interpolation Based on Deformable Kernel Region
Haoyue Tian, Pan Gao, Xiaojiang Peng
Video frame interpolation task has recently become more and more prevalent in the computer vision field. At present, a number of researches based on deep learning have achieved gre…
Learning Calibrated-Guidance for Object Detection in Aerial Images
Zongqi Wei, Dong Liang, Dong Zhang +4
Object detection is one of the most fundamental yet challenging research topics in the domain of computer vision. Recently, the study on this topic in aerial images has made tremen…