1k citations · 5.2k across the 59 of their papers we have counts for
15 papers · 1 filter
Unmixing Convolutional Features for Crisp Edge Detection
Linxi Huan, Nan Xue, Xianwei Zheng +3
This paper presents a context-aware tracing strategy (CATS) for crisp edge detection with deep edge detectors, based on an observation that the localization ambiguity of deep edge…
Mixed Noise Removal with Pareto Prior
Zhou Liu, Lei Yu, Gui-Song Xia +1
Denoising images contaminated by the mixture of additive white Gaussian noise (AWGN) and impulse noise (IN) is an essential but challenging problem. The presence of impulsive distu…
Align Deep Features for Oriented Object Detection
Jiaming Han, Jian Ding, Jie Li +1
The past decade has witnessed significant progress on detecting objects in aerial images that are often distributed with large scale variations and arbitrary orientations. However…
Event Enhanced High-Quality Image Recovery
Bishan Wang, Jingwei He, Lei Yu +2
With extremely high temporal resolution, event cameras have a large potential for robotics and computer vision. However, their asynchronous imaging mechanism often aggravates the m…
Implicit Euler ODE Networks for Single-Image Dehazing
Jiawei Shen, Zhuoyan Li, Lei Yu +2
Deep convolutional neural networks (CNN) have been applied for image dehazing tasks, where the residual network (ResNet) is often adopted as the basic component to avoid the vanish…
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
Gong Cheng, Xingxing Xie, Junwei Han +2
Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range…
Single Image Deraining with Continuous Rain Density Estimation
Jingwei He, Lei Yu, Gui-Song Xia +1
Single image deraining (SIDR) often suffers from over/under deraining due to the nonuniformity of rain densities and the variety of raindrop scales. In this paper, we propose a \te…
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
Yang Long, Gui-Song Xia, Shengyang Li +5
The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. With RS images becoming more accessible than ever before, there…
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan, Jin-Gang Yu, Zhihao Liang +4
Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in…
Zero-Assignment Constraint for Graph Matching with Outliers
Fudong Wang, Nan Xue, Jin-Gang Yu +1
Graph matching (GM), as a longstanding problem in computer vision and pattern recognition, still suffers from numerous cluttered outliers in practical applications. To address this…
Fisheye Distortion Rectification from Deep Straight Lines
Zhu-Cun Xue, Nan Xue, Gui-Song Xia
This paper presents a novel line-aware rectification network (LaRecNet) to address the problem of fisheye distortion rectification based on the classical observation that straight…
Semantic Change Pattern Analysis
Wensheng Cheng, Yan Zhang, Xu Lei +2
Change detection is an important problem in vision field, especially for aerial images. However, most works focus on traditional change detection, i.e., where changes happen, witho…
Holistically-Attracted Wireframe Parsing
Nan Xue, Tianfu Wu, Song Bai +4
This paper presents a fast and parsimonious parsing method to accurately and robustly detect a vectorized wireframe in an input image with a single forward pass. The proposed metho…
Plug & Play Convolutional Regression Tracker for Video Object Detection
Ye Lyu, Michael Ying Yang, George Vosselman +1
Video object detection targets to simultaneously localize the bounding boxes of the objects and identify their classes in a given video. One challenge for video object detection is…
Matching Neuromorphic Events and Color Images via Adversarial Learning
Fang Xu, Shijie Lin, Wen Yang +3
The event camera has appealing properties: high dynamic range, low latency, low power consumption and low memory usage, and thus provides complementariness to conventional frame-ba…