activity
20182022
most citedJPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting

34 citations · 55 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CV2022

Coarse-to-fine Task-driven Inpainting for Geoscience Images

Huiming Sun, Jin Ma, Qing Guo +4

The processing and recognition of geoscience images have wide applications. Most of existing researches focus on understanding the high-quality geoscience images by assuming that a…

cs.CV20228 cited

Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review

Talha Azfar, Jinlong Li, Hongkai Yu +3

Computer vision applications in intelligent transportation systems (ITS) and autonomous driving (AD) have gravitated towards deep neural network architectures in recent years. Whil…

cs.CV20227 cited

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

Jinlong Li, Runsheng Xu, Jin Ma +3

Most object detection methods for autonomous driving usually assume a consistent feature distribution between training and testing data, which is not always the case when weathers…

cs.CV202134 cited

JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting

Qing Guo, Xiaoguang Li, Felix Juefei-Xu +3

Image inpainting aims to restore the missing regions of corrupted images and make the recovery result identical to the originally complete image, which is different from the common…

cs.CV2021

Let There be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer

Lan Fu, Hongkai Yu, Felix Juefei-Xu +3

In recent years, image and video surveillance have made considerable progresses to the Intelligent Transportation Systems (ITS) with the help of deep Convolutional Neural Networks…

cs.CV2021

AdvHaze: Adversarial Haze Attack

Ruijun Gao, Qing Guo, Felix Juefei-Xu +2

In recent years, adversarial attacks have drawn more attention for their value on evaluating and improving the robustness of machine learning models, especially, neural network mod…