98 citations · 218 across the 18 of their papers we have counts for
19 papers
Mining beyond Earth with Space Robots: Exploration, Sampling, and Extraction
Dong Li, Dujun Nie, Xiaotong Zhang +11
Space resource acquisition and utilization, commonly referred to as Space Mining, represent critical pathways for enabling sustained human exploration and unlocking commercial oppo…
Robust structure from motion for aerial-ground images via detector-free feature matching and multi-view track refinement
San Jiang, Hui Wang, Xing Zhang +5
Integrated 3D reconstruction from aerial-ground images is essential for generating high-precision urban 3D models, yet severe variations in viewpoint, scale, and rotation make robu…
Aerial-Ground Image Feature Matching via 3D Gaussian Splatting-based Intermediate View Rendering
Jiangxue Yu, Hui Wang, San Jiang +3
The integration of aerial and ground images has been a promising solution in 3D modeling of complex scenes, which is seriously restricted by finding reliable correspondences. The p…
Adaptive Dual-Constrained Line Aggregation for Cross-Paradigm Line Segment Detection
Chenguang Liu, Chisheng Wang, Huilin Chen +2
Line segment detection has been studied for decades, yet existing methods are typically designed for different detection paradigms. Generic line segment detectors aim to recover al…
UAVPairs: A Challenging Benchmark for Match Pair Retrieval of Large-scale UAV Images
Junhuan Liu, San Jiang, Wei Ge +3
The primary contribution of this paper is a challenging benchmark dataset, UAVPairs, and a training pipeline designed for match pair retrieval of large-scale UAV images. First, the…
Efficient feature matching for UAV images based on compact GPU data scheduling
San Jiang, Kan You, Ruqin Zhou +3
Feature matching dominates the time costs in structure from motion (SfM). The primary contribution of this study is a GPU data schedule algorithm for efficient feature matching of…
RFWNet: A Lightweight Remote Sensing Object Detector Integrating Multiscale Receptive Fields and Foreground Focus Mechanism
Yujie Lei, Wenjie Sun, Sen Jia +2
Challenges in remote sensing object detection(RSOD), such as high interclass similarity, imbalanced foreground-background distribution, and the small size of objects in remote sens…
NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
Zihao Xu, Yuzhi Tang, Bowen Xu +1
Most publicly accessible remote sensing data suffer from low resolution, limiting their practical applications. To address this, we propose a diffusion model guided by neural opera…
Msmsfnet: a multi-stream and multi-scale fusion net for edge detection
Chenguang Liu, Chisheng Wang, Feifei Dong +5
Edge detection is a long-standing problem in computer vision. Despite the efficiency of existing algorithms, their performance, however, rely heavily on the pre-trained weights of…
Efficient Match Pair Retrieval for Large-scale UAV Images via Graph Indexed Global Descriptor
San Jiang, Yichen Ma, Qingquan Li +4
SfM (Structure from Motion) has been extensively used for UAV (Unmanned Aerial Vehicle) image orientation. Its efficiency is directly influenced by feature matching. Although image…
Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao
Qingquan Li, Wenshuai Yu, San Jiang
UAVs have become one of the widely used remote sensing platforms and played a critical role in the construction of smart cities. However, due to the complex environment in urban sc…
Parallel Structure from Motion for UAV Images via Weighted Connected Dominating Set
San Jiang, Qingquan Li, Wanshou Jiang +1
Incremental Structure from Motion (ISfM) has been widely used for UAV image orientation. Its efficiency, however, decreases dramatically due to the sequential constraint. Although…
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
Meng Xu, Zhihao Wang, Jiasong Zhu +2
Image super-resolution (SR) methods can generate remote sensing images with high spatial resolution without increasing the cost, thereby providing a feasible way to acquire high-re…
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Qing Li, Jiasong Zhu, Jun Liu +4
Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recent…
Enhancing Remote Sensing Image Retrieval with Triplet Deep Metric Learning Network
Rui Cao, Qian Zhang, Jiasong Zhu +4
With the rapid growing of remotely sensed imagery data, there is a high demand for effective and efficient image retrieval tools to manage and exploit such data. In this letter, we…
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization
Qing Li, Jiasong Zhu, Rui Cao +5
6DOF camera relocalization is an important component of autonomous driving and navigation. Deep learning has recently emerged as a promising technique to tackle this problem. In th…
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
Qin Zou, Yanling Wang, Qian Wang +2
Compared to other biometrics, gait is difficult to conceal and has the advantage of being unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to ca…
Robust Gait Recognition by Integrating Inertial and RGBD Sensors
Qin Zou, Lihao Ni, Qian Wang +2
Gait has been considered as a promising and unique biometric for person identification. Traditionally, gait data are collected using either color sensors, such as a CCD camera, dep…
LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification
Xianbiao Qi, Guoying Zhao, Linlin Shen +2
In this paper, we propose a novel local feature, called Local Orientation Adaptive Descriptor (LOAD), to capture regional texture in an image. In LOAD, we proposed to define point…