699 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Wuhan UniversityCN89 papers
- Chinese Academy of SciencesCN52 papers
- Wuhan University of Science and TechnologyCN40 papers
- Beijing Normal UniversityCN25 papers
- University of Chinese Academy of SciencesCN24 papers
- Huazhong University of Science and TechnologyCN22 papers
- Institute of High Energy PhysicsCN19 papers
- University of Science and Technology of ChinaCN14 papers
- Peking UniversityCN13 papers
- State Key Laboratory of Advanced Technology For Materials Synthesis and Processing12 papers
- Tsinghua UniversityCN12 papers
- Central China Normal UniversityCN11 papers
28 papers · 1 filter
NavEYE: Vision-Centered Multi-Sensor Fusion-Based Situational Awareness System for Intelligent Surface Vehicles
Ryan Wen Liu, Junxiong Liang, Haoyu Wang +1
With the rapid development of sensor and artificial intelligence (AI) technologies, intelligent surface vehicles (ISVs) have gained increasing attention from academia and industry.…
MSAM: Multi-Semantic Adaptive Mining for Cross-Modal Drone Video-Text Retrieval
Jinghao Huang, Yaxiong Chen, Ganchao Liu
With the advancement of drone technology, the volume of video data increases rapidly, creating an urgent need for efficient semantic retrieval. We are the first to systematically p…
A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery
Pengyu Chen, Sicheng Wang, Cuizhen Wang +4
Precise detection of rooftops from historical aerial imagery is essential for analyzing long-term urban development and human settlement patterns. Nonetheless, black-and-white anal…
Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison
Jiageng Zhong, Ming Li, Armin Gruen +3
Corals serve as the foundational habitat-building organisms within reef ecosystems, constructing extensive structures that extend over vast distances. However, their inherent fragi…
Visual Grounding with Multi-modal Conditional Adaptation
Ruilin Yao, Shengwu Xiong, Yichen Zhao +1
Visual grounding is the task of locating objects specified by natural language expressions. Existing methods extend generic object detection frameworks to tackle this task. They ty…
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting
Huilin Zhu, Jingling Yuan, Xian Zhong +3
Domain adaptation is commonly employed in crowd counting to bridge the domain gaps between different datasets. However, existing domain adaptation methods tend to focus on inter-da…
FETNet: Feature Erasing and Transferring Network for Scene Text Removal
Guangtao Lyu, Kun Liu, Anna Zhu +2
The scene text removal (STR) task aims to remove text regions and recover the background smoothly in images for private information protection. Most existing STR methods adopt enco…
PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network
Guangtao Lyu, Anna Zhu
Scene text removal (STR) is a challenging task due to the complex text fonts, colors, sizes, and background textures in scene images. However, most previous methods learn both text…
MSLKANet: A Multi-Scale Large Kernel Attention Network for Scene Text Removal
Guangtao Lyu
Scene text removal aims to remove the text and fill the regions with perceptually plausible background information in natural images. It has attracted increasing attention due to i…
Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
Zhongwei Xie, Ling Liu, Yanzhao Wu +2
This paper introduces a two-phase deep feature engineering framework for efficient learning of semantics enhanced joint embedding, which clearly separates the deep feature engineer…
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images
Zhongwei Xie, Ling Liu, Lin Li +1
This paper presents a three-tier modality alignment approach to learning text-image joint embedding, coined as JEMA, for cross-modal retrieval of cooking recipes and food images. T…
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning
Zhongwei Xie, Ling Liu, Lin Li +1
This paper introduces a two-phase deep feature calibration framework for efficient learning of semantics enhanced text-image cross-modal joint embedding, which clearly separates th…
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service
Zhongwei Xie, Ling Liu, Yanzhao Wu +2
It is widely acknowledged that learning joint embeddings of recipes with images is challenging due to the diverse composition and deformation of ingredients in cooking procedures.…
Rank-One Prior: Toward Real-Time Scene Recovery
Jun Liu, Ryan Wen Liu, Jianing Sun +1
Scene recovery is a fundamental imaging task for several practical applications, e.g., video surveillance and autonomous vehicles, etc. To improve visual quality under different we…
A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition
Jingjing Cao, Fukang Guo, Xin Lai +2
With the propagation of sensor devices applied in smart home, activity recognition has ignited huge interest and most existing works assume that there is only one habitant. While i…
Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach
Xian Zhong, Cheng Gu, Wenxin Huang +3
Few-shot learning is a challenging problem that has attracted more and more attention recently since abundant training samples are difficult to obtain in practical applications. Me…
Patchy Image Structure Classification Using Multi-Orientation Region Transform
Xiaohan Yu, Yang Zhao, Yongsheng Gao +2
Exterior contour and interior structure are both vital features for classifying objects. However, most of the existing methods consider exterior contour feature and internal struct…
Deep Visual Waterline Detection within Inland Marine Environment
Jing Huang, Hengfeng Miao, Lin Li +2
Waterline usually plays as an important visual cue for maritime applications. However, the visual complexity of inland waterline presents a significant challenge for the developmen…
MobileFAN: Transferring Deep Hidden Representation for Face Alignment
Yang Zhao, Yifan Liu, Chunhua Shen +2
Facial landmark detection is a crucial prerequisite for many face analysis applications. Deep learning-based methods currently dominate the approach of addressing the facial landma…
Medical image super-resolution method based on dense blended attention network
Kewen Liu, Yuan Ma, Hongxia Xiong +4
In order to address the issue that medical image would suffer from severe blurring caused by the lack of high-frequency details in the process of image super-resolution reconstruct…
Variational Regularized Transmission Refinement for Image Dehazing
Qiaoling Shu, Chuansheng Wu, Zhe Xiao +1
High-quality dehazing performance is highly dependent upon the accurate estimation of transmission map. In this work, the coarse estimation version is first obtained by weightedly…
Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings
Zhongwei Xie, Lin Li, Xian Zhong +1
Image-to-video person re-identification identifies a target person by a probe image from quantities of pedestrian videos captured by non-overlapping cameras. Despite the great prog…
GPU based Parallel Optimization for Real Time Panoramic Video Stitching
Chengyao Du, Jingling Yuan, Jiansheng Dong +3
Panoramic video is a sort of video recorded at the same point of view to record the full scene. With the development of video surveillance and the requirement for 3D converged vide…
Fine-grained visual recognition with salient feature detection
Hui Feng, Shanshan Wang, Shuzhi Sam Ge
Computer vision based fine-grained recognition has received great attention in recent years. Existing works focus on discriminative part localization and feature learning. In this…