1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN172 papers
- Baylor UniversityUS144 papers
- Chinese Academy of SciencesCN67 papers
- University of Science and Technology of ChinaCN66 papers
- Zhejiang University of Science and TechnologyCN63 papers
- Shanghai Jiao Tong UniversityCN52 papers
- National University of Sciences and TechnologyPK42 papers
- Peking UniversityCN40 papers
- Nanjing UniversityCN39 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN35 papers
- State Key Laboratory of Modern Optical InstrumentsCN35 papers
- Zhejiang LabCN35 papers
43 papers · 1 filter
WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression
Weikai Qu, Sijun Liang, Cheng Pan +6
Photographs taken in adverse weather conditions often suffer from blurriness, occlusion, and low brightness due to interference from rain, snow, and fog. These issues can significa…
DenseScout: Algorithm-System Co-design for Budgeted Tiny Object Selection on Edge Platforms
Zhouzhi Xiong, Zimo Zeng, Yi Chen +3
Deploying high-resolution tiny-object perception on edge platforms requires not only accurate localization, but also selecting a small set of informative patches under compute, tra…
RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images
Hanzhe Yu, Yun Ye, Jintao Rong +2
The rapid advancement of generative AI has raised concerns about the authenticity of digital images, as highly realistic fake images can now be generated at low cost, potentially i…
Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning
Zilun Zhang, Zian Guan, Tiancheng Zhao +7
Referring expression understanding in remote sensing poses unique challenges, as it requires reasoning over complex object-context relationships. While supervised fine-tuning (SFT)…
Generative Video Matting
Yongtao Ge, Kangyang Xie, Guangkai Xu +6
Video matting has traditionally been limited by the lack of high-quality ground-truth data. Most existing video matting datasets provide only human-annotated imperfect alpha and fo…
From Swath to Full-Disc: Advancing Precipitation Retrieval with Multimodal Knowledge Expansion
Zheng Wang, Kai Ying, Bin Xu +2
Accurate near-real-time precipitation retrieval has been enhanced by satellite-based technologies. However, infrared-based algorithms have low accuracy due to weak relations with s…
From Geometric Mimicry to Comprehensive Generation: A Context-Informed Multimodal Diffusion Model for Urban Morphology Synthesis
Fangshuo Zhou, Huaxia Li, Liuchang Xu +5
Urban morphology is fundamental to determining urban functionality and vitality. Prevailing simulation methods, however, often oversimplify morphological generation as a geometric…
Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion
Pan Mu, Zhiying Du, Jinyuan Liu +1
In recent years, deep learning networks have made remarkable strides in the domain of multi-exposure image fusion. Nonetheless, prevailing approaches often involve directly feeding…
Direction-Oriented Visual-semantic Embedding Model for Remote Sensing Image-text Retrieval
Qing Ma, Jiancheng Pan, Cong Bai
Image-text retrieval has developed rapidly in recent years. However, it is still a challenge in remote sensing due to visual-semantic imbalance, which leads to incorrect matching o…
Bundle-specific Tractogram Distribution Estimation Using Higher-order Streamline Differential Equation
Yuanjing Feng, Lei Xie, Jingqiang Wang +4
Tractography traces the peak directions extracted from fiber orientation distribution (FOD) suffering from ambiguous spatial correspondences between diffusion directions and fiber…
Image Enhancement for Remote Photoplethysmography in a Low-Light Environment
Lin Xi, Weihai Chen, Changchen Zhao +2
With the improvement of sensor technology and significant algorithmic advances, the accuracy of remote heart rate monitoring technology has been significantly improved. Despite of…
A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object Detection
Binwei Xu, Haoran Liang, Weihua Gong +2
Fully supervised salient object detection (SOD) methods have made considerable progress in performance, yet these models rely heavily on expensive pixel-wise labels. Recently, to a…
Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection
Binwei Xu, Haoran Liang, Ronghua Liang +1
Fully supervised salient object detection (SOD) has made considerable progress based on expensive and time-consuming data with pixel-wise annotations. Recently, to relieve the labe…
MMFL-Net: Multi-scale and Multi-granularity Feature Learning for Cross-domain Fashion Retrieval
Chen Bao, Xudong Zhang, Jiazhou Chen +1
Instance-level image retrieval in fashion is a challenging issue owing to its increasing importance in real-scenario visual fashion search. Cross-domain fashion retrieval aims to m…
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions
Anjun Chen, Xiangyu Wang, Kun Shi +6
3D human reconstruction from RGB images achieves decent results in good weather conditions but degrades dramatically in rough weather. Complementary, mmWave radars have been employ…
Physical Adversarial Attack meets Computer Vision: A Decade Survey
Hui Wei, Hao Tang, Xuemei Jia +6
Despite the impressive achievements of Deep Neural Networks (DNNs) in computer vision, their vulnerability to adversarial attacks remains a critical concern. Extensive research has…
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
Jiacong Hu, Jing Gao, Jingwen Ye +4
With the rapid development of deep learning, the increasing complexity and scale of parameters make training a new model increasingly resource-intensive. In this paper, we start fr…
Real-time Rail Recognition Based on 3D Point Clouds
Xinyi Yu, Weiqi He, Xuecheng Qian +2
Accurate rail location is a crucial part in the railway support driving system for safety monitoring. LiDAR can obtain point clouds that carry 3D information for the railway enviro…
3D Instance Segmentation of MVS Buildings
Jiazhou Chen, Yanghui Xu, Shufang Lu +2
We present a novel 3D instance segmentation framework for Multi-View Stereo (MVS) buildings in urban scenes. Unlike existing works focusing on semantic segmentation of urban scenes…
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
Xiaoming Zhao, Jingmeng Liu, Xingming Wu +3
Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on. Both handcra…
Understanding the Dynamics of DNNs Using Graph Modularity
Yao Lu, Wen Yang, Yunzhe Zhang +5
There are good arguments to support the claim that deep neural networks (DNNs) capture better feature representations than the previous hand-crafted feature engineering, which lead…
Boundary Knowledge Translation based Reference Semantic Segmentation
Lechao Cheng, Zunlei Feng, Xinchao Wang +3
Given a reference object of an unknown type in an image, human observers can effortlessly find the objects of the same category in another image and precisely tell their visual bou…
DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI
Jian-Wei Zhang, Wei Chen, K. Ina Ly +7
Neurofibromatosis type 1 (NF1) is an autosomal dominant tumor predisposition syndrome that involves the central and peripheral nervous systems. Accurate detection and segmentation…
Pedestrian Attribute Recognition in Video Surveillance Scenarios Based on View-attribute Attention Localization
Weichen Chen, Xinyi Yu, Linlin Ou
Pedestrian attribute recognition in surveillance scenarios is still a challenging task due to the inaccurate localization of specific attributes. In this paper, we propose a novel…