activity
20152023
most citedDeep learning in remote sensing: a review

3.2k citations · 6.6k across the 41 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.CV2023

CrossZoom: Simultaneously Motion Deblurring and Event Super-Resolving

Chi Zhang, Xiang Zhang, Mingyuan Lin +5

Even though the collaboration between traditional and neuromorphic event cameras brings prosperity to frame-event based vision applications, the performance is still confined by th…

cs.RO2023

QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds

Ji Wu, Huai Yu, Wen Yang +1

This paper presents a novel framework to learn a concise geometric primitive representation for 3D point clouds. Different from representing each type of primitive individually, we…

cs.RO2023

2D-3D Pose Tracking with Multi-View Constraints

Huai Yu, Kuangyi Chen, Wen Yang +2

Camera localization in 3D LiDAR maps has gained increasing attention due to its promising ability to handle complex scenarios, surpassing the limitations of visual-only localizatio…

cs.CV2023

Patched Line Segment Learning for Vector Road Mapping

Jiakun Xu, Bowen Xu, Gui-Song Xia +2

This paper presents a novel approach to computing vector road maps from satellite remotely sensed images, building upon a well-defined Patched Line Segment (PaLiS) representation f…

cs.CV2023★ 1 cited

Generalizing Event-Based Motion Deblurring in Real-World Scenarios

Xiang Zhang, Lei Yu, Wen Yang +2

Event-based motion deblurring has shown promising results by exploiting low-latency events. However, current approaches are limited in their practical usage, as they assume the sam…

cs.CV2023★ 11 cited

On the Robustness of Object Detection Models on Aerial Images

Haodong He, Jian Ding, Bowen Xu +1

The robustness of object detection models is a major concern when applied to real-world scenarios. The performance of most models tends to degrade when confronted with images affec…

cs.CV2023★ 5 cited

DAM-Net: Global Flood Detection from SAR Imagery Using Differential Attention Metric-Based Vision Transformers

Tamer Saleh, Xingxing Weng, Shimaa Holail +2

The detection of flooded areas using high-resolution synthetic aperture radar (SAR) imagery is a critical task with applications in crisis and disaster management, as well as envir…

cs.CV2023★ 1 cited

Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events

Yangguang Wang, Xiang Zhang, Mingyuan Lin +4

Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS) images to an undistorted high frame-rate Global Shutter (GS) video is a severely ill-posed problem due to t…

cs.CV2023★ 1 cited

Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection

Chang Xu, Jian Ding, Jinwang Wang +4

Detecting arbitrarily oriented tiny objects poses intense challenges to existing detectors, especially for label assignment. Despite the exploration of adaptive label assignment in…

cs.CV2023

Recovering Continuous Scene Dynamics from A Single Blurry Image with Events

Zhangyi Cheng, Xiang Zhang, Lei Yu +3

This paper aims at demystifying a single motion-blurred image with events and revealing temporally continuous scene dynamics encrypted behind motion blurs. To achieve this end, an…