activity
20182022
most citedUser-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning

9 citations · 38 across the 19 of their papers we have counts for

collaborators

33 papers

cs.CV20225 cited

Focal and Global Spatial-Temporal Transformer for Skeleton-based Action Recognition

Zhimin Gao, Peitao Wang, Pei Lv +5

Despite great progress achieved by transformer in various vision tasks, it is still underexplored for skeleton-based action recognition with only a few attempts. Besides, these met…

cs.CV2022

FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis

Zihui Guo, Yonghong Hou, Pichao Wang +3

Analysis of human interaction is one important research topic of human motion analysis. It has been studied either using first person vision (FPV) or third person vision (TPV). How…

cs.CV20212 cited

Zero-sample surface defect detection and classification based on semantic feedback neural network

Yibo Guo, Yiming Fan, Zhiyang Xiang +3

Defect detection and classification technology has changed from traditional artificial visual inspection to current intelligent automated inspection, but most of the current defect…

cs.CV20219 cited

User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning

Pei Lv, Jianqi Fan, Xixi Nie +5

Personalized image aesthetic assessment (PIAA) has recently become a hot topic due to its usefulness in a wide variety of applications such as photography, film and television, e-c…

cs.CV2021

A self-adapting super-resolution structures framework for automatic design of GAN

Yibo Guo, Haidi Wang, Yiming Fan +2

With the development of deep learning, the single super-resolution image reconstruction network models are becoming more and more complex. Small changes in hyperparameters of the m…

eess.IV20212 cited

Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN

Yibo Guo, Haidi Wang, Yiming Fan +2

With the effective application of deep learning in computer vision, breakthroughs have been made in the research of super-resolution images reconstruction. However, many researches…