2.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- B. Little2 profiles36 · h 68
- D. Moss2 profiles35 · h 76
- S. Chu3 profiles35 · h 54
- Xingyuan Xu2 profiles35 · h 37
- R. Morandotti2 profiles33 · h 83
- Jiayang Wu2 profiles30 · h 56
- Xuelong Li2 profiles30 · h 135
- A. Mitchell2 profiles25 · h 71
- M. Tan24 · h 32
- T. Nguyen20 · h 35
- Xiaoqiang Lu13 · h 63
- Jianhua Zeng12 · h 21
- Chinese Academy of SciencesCN74 papers
- State Key Laboratory of Transient Optics and Photonics46 papers
- City University of Hong KongHK45 papers
- University of Chinese Academy of SciencesCN44 papers
- Institut National de la Recherche ScientifiqueCA40 papers
- Swinburne University of TechnologyAU40 papers
- RMIT UniversityAU35 papers
- University of Electronic Science and Technology of ChinaCN26 papers
- Monash UniversityAU18 papers
- ITMO UniversityRU15 papers
- Northwestern Polytechnical UniversityCN15 papers
- Tianjin UniversityCN9 papers
34 papers · 1 filter
StreakNet-Arch: An Anti-scattering Network-based Architecture for Underwater Carrier LiDAR-Radar Imaging
Xuelong Li, Hongjun An, Haofei Zhao +6
In this paper, we introduce StreakNet-Arch, a real-time, end-to-end binary-classification framework based on our self-developed Underwater Carrier LiDAR-Radar (UCLR) that embeds Se…
One-Stage Cascade Refinement Networks for Infrared Small Target Detection
Yimian Dai, Xiang Li, Fei Zhou +3
Single-frame InfraRed Small Target (SIRST) detection has been a challenging task due to a lack of inherent characteristics, imprecise bounding box regression, a scarcity of real-wo…
Pairwise Comparison Network for Remote Sensing Scene Classification
Zhang Yue, Zheng Xiangtao, Lu Xiaoqiang
Remote sensing scene classification aims to assign a specific semantic label to a remote sensing image. Recently, convolutional neural networks have greatly improved the performanc…
Reconstructive Sequence-Graph Network for Video Summarization
Bin Zhao, Haopeng Li, Xiaoqiang Lu +1
Exploiting the inner-shot and inter-shot dependencies is essential for key-shot based video summarization. Current approaches mainly devote to modeling the video as a frame sequenc…
Bio-Inspired Representation Learning for Visual Attention Prediction
Yuan Yuan, Hailong Ning, Xiaoqiang Lu
Visual Attention Prediction (VAP) is a significant and imperative issue in the field of computer vision. Most of existing VAP methods are based on deep learning. However, they do n…
Vision-to-Language Tasks Based on Attributes and Attention Mechanism
Xuelong Li, Aihong Yuan, Xiaoqiang Lu
Vision-to-language tasks aim to integrate computer vision and natural language processing together, which has attracted the attention of many researchers. For typical approaches, t…
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Qi Wang, Xiange He, Xuelong Li
Hyperspectral image (HSI) classification, which aims to assign an accurate label for hyperspectral pixels, has drawn great interest in recent years. Although low rank representatio…
Hierarchical Recurrent Neural Network for Video Summarization
Bin Zhao, Xuelong Li, Xiaoqiang Lu
Exploiting the temporal dependency among video frames or subshots is very important for the task of video summarization. Practically, RNN is good at temporal dependency modeling, a…
A CNN-RNN Architecture for Multi-Label Weather Recognition
Bin Zhao, Xuelong Li, Xiaoqiang Lu +1
Weather Recognition plays an important role in our daily lives and many computer vision applications. However, recognizing the weather conditions from a single image remains challe…
A General Framework for Edited Video and Raw Video Summarization
Xuelong Li, Bin Zhao, Xiaoqiang Lu
In this paper, we build a general summarization framework for both of edited video and raw video summarization. Overall, our work can be divided into three folds: 1) Four models ar…
3G structure for image caption generation
Aihong Yuan, Xuelong Li, Xiaoqiang Lu
It is a big challenge of computer vision to make machine automatically describe the content of an image with a natural language sentence. Previous works have made great progress on…
Multi-modal gated recurrent units for image description
Xuelong Li, Aihong Yuan, Xiaoqiang Lu
Using a natural language sentence to describe the content of an image is a challenging but very important task. It is challenging because a description must not only capture object…
SCE: A manifold regularized set-covering method for data partitioning
Xuelong Li, Quanmao Lu, Yongsheng Dong +1
Cluster analysis plays a very important role in data analysis. In these years, cluster ensemble, as a cluster analysis tool, has drawn much attention for its robustness, stability,…
Patch alignment manifold matting
Xuelong Li, Kang Liu, Yongsheng Dong +1
Image matting is generally modeled as a space transform from the color space to the alpha space. By estimating the alpha factor of the model, the foreground of an image can be extr…
Triply Supervised Decoder Networks for Joint Detection and Segmentation
Jiale Cao, Yanwei Pang, Xuelong Li
Joint object detection and semantic segmentation can be applied to many fields, such as self-driving cars and unmanned surface vessels. An initial and important progress towards th…
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks
Fusheng Hao, Jun Cheng, Lei Wang +4
Discriminative features are critical for machine learning applications. Most existing deep learning approaches, however, rely on convolutional neural networks (CNNs) for learning f…
PixelLink: Detecting Scene Text via Instance Segmentation
Dan Deng, Haifeng Liu, Xuelong Li +1
Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/non…
Exploring Models and Data for Remote Sensing Image Caption Generation
Xiaoqiang Lu, Binqiang Wang, Xiangtao Zheng +1
Inspired by recent development of artificial satellite, remote sensing images have attracted extensive attention. Recently, noticeable progress has been made in scene classificatio…
Video Summarization with Attention-Based Encoder-Decoder Networks
Zhong Ji, Kailin Xiong, Yanwei Pang +1
This paper addresses the problem of supervised video summarization by formulating it as a sequence-to-sequence learning problem, where the input is a sequence of original video fra…
Data preprocessing methods for robust Fourier ptychographic microscopy
Yan Zhang, An Pan, Ming Lei +1
Fourier ptychographic microscopy (FPM) is a recently proposed computational imaging technique with both high resolution and wide field-of-view. In current FP experimental setup, th…
Object Discovery via Cohesion Measurement
Guanjun Guo, Hanzi Wang, Wan-Lei Zhao +2
Color and intensity are two important components in an image. Usually, groups of image pixels, which are similar in color or intensity, are an informative representation for an obj…
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng, Junwei Han, Xiaoqiang Lu
Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention. During the past years, signific…
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Ping Li, Jun Yu, Meng Wang +3
Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. Most low-ra…
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu +4
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote…