1.1k citations · 5.1k across the 81 of their papers we have counts for
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Relation Regularized Scene Graph Generation
Yuyu Guo, Lianli Gao, Jingkuan Song +4
Scene graph generation (SGG) is built on top of detected objects to predict object pairwise visual relations for describing the image content abstraction. Existing works have revea…
Adaptive Shrink-Mask for Text Detection
Chuang Yang, Mulin Chen, Yuan Yuan +2
Existing real-time text detectors reconstruct text contours by shrink-masks directly, which simplifies the framework and can make the model run fast. However, the strong dependence…
Audio-visual Representation Learning for Anomaly Events Detection in Crowds
Junyu Gao, Maoguo Gong, Xuelong Li
In recent years, anomaly events detection in crowd scenes attracts many researchers' attention, because of its importance to public safety. Existing methods usually exploit visual…
Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification
Qi Wang, Sikai Bai, Junyu Gao +2
Person re-identification (re-ID) has gained more and more attention due to its widespread applications in intelligent video surveillance. Unfortunately, the mainstream deep learnin…
LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds
Qi wang, Tao Han, Junyu Gao +2
The rapid development in visual crowd analysis shows a trend to count people by positioning or even detecting, rather than simply summing a density map. It also enlightens us back…
Hierarchical Multimodal Transformer to Summarize Videos
Bin Zhao, Maoguo Gong, Xuelong Li
Although video summarization has achieved tremendous success benefiting from Recurrent Neural Networks (RNN), RNN-based methods neglect the global dependencies and multi-hop relati…
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
Junyu Gao, Maoguo Gong, Xuelong Li
Crowd localization is a new computer vision task, evolved from crowd counting. Different from the latter, it provides more precise location information for each instance, not just…
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Dawei Du, Longyin Wen, Pengfei Zhu +52
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.…
Deep Contrastive Graph Representation via Adaptive Homotopy Learning
Rui Zhang, Chengjun Lu, Ziheng Jiao +1
Homotopy model is an excellent tool exploited by diverse research works in the field of machine learning. However, its flexibility is limited due to lack of adaptiveness, i.e., man…
EA-Net: Edge-Aware Network for Flow-based Video Frame Interpolation
Bin Zhao, Xuelong Li
Video frame interpolation can up-convert the frame rate and enhance the video quality. In recent years, although the interpolation performance has achieved great success, image blu…
AudioVisual Video Summarization
Bin Zhao, Maoguo Gong, Xuelong Li
Audio and vision are two main modalities in video data. Multimodal learning, especially for audiovisual learning, has drawn considerable attention recently, which can boost the per…
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…
Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning
Yanling Miao, Qi Wang, Mulin Chen +1
Graph-based semi-supervised learning methods, which deal well with the situation of limited labeled data, have shown dominant performance in practical applications. However, the hi…
Multi-channel Deep Supervision for Crowd Counting
Bo Wei, Mulin Chen, Qi Wang +1
Crowd counting is a task worth exploring in modern society because of its wide applications such as public safety and video monitoring. Many CNN-based approaches have been proposed…
Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
Xuelong Li, Kai Kou, Bin Zhao
In this paper, a new task is proposed, namely, weather translation, which refers to transferring weather conditions of the image from one category to another. It is important for p…
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model
Zheheng Jiang, Feixiang Zhou, Aite Zhao +5
Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of neurodegenerative diseases. Despite tremendous efforts made within the research…
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Zhiyuan Zhao, Tao Han, Junyu Gao +2
Drones shooting can be applied in dynamic traffic monitoring, object detecting and tracking, and other vision tasks. The variability of the shooting location adds some intractable…
Pixel-Level Self-Paced Learning for Super-Resolution
Wei. Lin, Junyu. Gao, Qi. Wang +1
Recently, lots of deep networks are proposed to improve the quality of predicted super-resolution (SR) images, due to its widespread use in several image-based fields. However, wit…
Spatial-Spectral Residual Network for Hyperspectral Image Super-Resolution
Qi Wang, Qiang Li, Xuelong Li
Deep learning-based hyperspectral image super-resolution (SR) methods have achieved great success recently. However, most existing models can not effectively explore spatial inform…
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Qi Wang, Junyu Gao, Wei Lin +1
In the last decade, crowd counting and localization attract much attention of researchers due to its wide-spread applications, including crowd monitoring, public safety, space desi…
Meta Learning for Task-Driven Video Summarization
Xuelong Li, Hongli Li, Yongsheng Dong
Existing video summarization approaches mainly concentrate on sequential or structural characteristic of video data. However, they do not pay enough attention to the video summariz…
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…
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Junyu Gao, Qi Wang, Xuelong Li
Crowd counting from a single image is a challenging task due to high appearance similarity, perspective changes and severe congestion. Many methods only focus on the local appearan…
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…