b'Gui-Song Xia'

research

∙ 09/20/2023

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

Camera localization in 3D LiDAR maps has gained increasing attention due...

0 Huai Yu, et al. ∙

research

∙ 09/06/2023

Patched Line Segment Learning for Vector Road Mapping

This paper presents a novel approach to computing vector road maps from ...

0 Jiakun Xu, et al. ∙

research

∙ 08/29/2023

On the Robustness of Object Detection Models in Aerial Images

The robustness of object detection models is a major concern when applie...

0 Haodong He, et al. ∙

research

∙ 08/11/2023

Generalizing Event-Based Motion Deblurring in Real-World Scenarios

Event-based motion deblurring has shown promising results by exploiting ...

0 Xiang Zhang, et al. ∙

research

∙ 07/23/2023

Towards Generic and Controllable Attacks Against Object Detection

Existing adversarial attacks against Object Detectors (ODs) suffer from ...

0 Guopeng Li, et al. ∙

research

∙ 07/14/2023

Volumetric Wireframe Parsing from Neural Attraction Fields

The primal sketch is a fundamental representation in Marr's vision theor...

0 Nan Xue, et al. ∙

research

∙ 06/20/2023

Depth and DOF Cues Make A Better Defocus Blur Detector

Defocus blur detection (DBD) separates in-focus and out-of-focus regions...

0 Yuxin Jin, et al. ∙

research

∙ 06/01/2023

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

The detection of flooded areas using high-resolution synthetic aperture ...

0 Tamer Saleh, et al. ∙

research

∙ 05/22/2023

HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation

Current semantic segmentation models have achieved great success under t...

0 Jian Ding, et al. ∙

research

∙ 05/11/2023

FreePoint: Unsupervised Point Cloud Instance Segmentation

Instance segmentation of point clouds is a crucial task in 3D field with...

0 Zhikai Zhang, et al. ∙

research

∙ 04/18/2023

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

Detecting arbitrarily oriented tiny objects poses intense challenges to ...

0 Chang Xu, et al. ∙

research

∙ 04/14/2023

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

Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS)...

0 Yangguang Wang, et al. ∙

research

∙ 04/05/2023

Recovering Continuous Scene Dynamics from A Single Blurry Image with Events

This paper aims at demystifying a single motion-blurred image with event...

0 Zhangyi Cheng, et al. ∙

research

∙ 03/26/2023

Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs

This paper aims to develop an accurate 3D geometry representation of sat...

0 Ming Qian, et al. ∙

research

∙ 02/27/2023

Learning to Super-Resolve Blurry Images with Events

Super-Resolution from a single motion Blurred image (SRB) is a severely ...

0 Lei Yu, et al. ∙

research

∙ 01/31/2023

Few-Shot Object Detection via Variational Feature Aggregation

As few-shot object detectors are often trained with abundant base sample...

0 Jiaming Han, et al. ∙

research

∙ 01/26/2023

Detecting Building Changes with Off-Nadir Aerial Images

The tilted viewing nature of the off-nadir aerial images brings severe c...

0 Chao Pang, et al. ∙

research

∙ 12/05/2022

Learning to See Through with Events

Although synthetic aperture imaging (SAI) can achieve the seeing-through...

0 Lei Yu, et al. ∙

research

∙ 11/30/2022

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction

This paper studies the challenging two-view 3D reconstruction in a rigor...

0 Bin Tan, et al. ∙

research

∙ 11/22/2022

Level-S^2fM: Structure from Motion on Neural Level Set of Implicit Surfaces

This paper presents a neural incremental Structure-from-Motion (SfM) app...

0 Yuxi Xiao, et al. ∙

research

∙ 11/14/2022

Detecting Line Segments in Motion-blurred Images with Events

Making line segment detectors more reliable under motion blurs is one of...

6 Huai Yu, et al. ∙

research

∙ 10/24/2022

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning

This paper presents Holistically-Attracted Wireframe Parsing (HAWP) for ...

0 Nan Xue, et al. ∙

research

∙ 09/25/2022

Anomaly Detection in Aerial Videos with Transformers

Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspe...

0 Pu Jin, et al. ∙

research

∙ 09/22/2022

FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification

Unmanned aerial vehicles (UAVs) are now widely applied to data acquisiti...

0 Pu Jin, et al. ∙

research

∙ 09/02/2022

Transformers in Remote Sensing: A Survey

Deep learning-based algorithms have seen a massive popularity in differe...

2 Abdulaziz Amer Aleissaee, et al. ∙

research

∙ 09/01/2022

Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery

High-resolution satellite images can provide abundant, detailed spatial ...

5 Xin-Yi Tong, et al. ∙

research

∙ 08/18/2022

RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection

Detecting tiny objects is one of the main obstacles hindering the develo...

0 Chang Xu, et al. ∙

research

∙ 08/15/2022

HoW-3D: Holistic 3D Wireframe Perception from a Single Image

This paper studies the problem of holistic 3D wireframe perception (HoW-...

6 Wenchao Ma, et al. ∙

research

∙ 08/01/2022

OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images

This paper presents OmniCity, a new dataset for omnipotent city understa...

4 Weijia Li, et al. ∙

research

∙ 08/01/2022

Accurate Polygonal Mapping of Buildings in Satellite Imagery

This paper studies the problem of polygonal mapping of buildings by tack...

2 Bowen Xu, et al. ∙

research

∙ 06/28/2022

Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

Tiny object detection (TOD) in aerial images is challenging since a tiny...

0 Chang Xu, et al. ∙

research

∙ 06/06/2022

Exploring the Potential of SAR Data for Cloud Removal in Optical Satellite Imagery

The challenge of the cloud removal task can be alleviated with the aid o...

0 Fang Xu, et al. ∙

research

∙ 05/06/2022

All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification

Aerial scene classification remains challenging as: 1) the size of key o...

0 Qi Bi, et al. ∙

research

∙ 04/28/2022

Learning to Extract Building Footprints from Off-Nadir Aerial Images

Extracting building footprints from aerial images is essential for preci...

11 Jinwang Wang, et al. ∙

research

∙ 03/28/2022

Expanding Low-Density Latent Regions for Open-Set Object Detection

Modern object detectors have achieved impressive progress under the clos...

0 Jiaming Han, et al. ∙

research

∙ 03/04/2022

Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration

Given two point sets, the problem of registration is to recover a transf...

0 Zi-Ming Wang, et al. ∙

research

∙ 01/06/2022

Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling

Given an aerial image, aerial scene parsing (ASP) targets to interpret t...

15 Yang Long, et al. ∙

research

∙ 12/15/2021

Decoupling Zero-Shot Semantic Segmentation

Zero-shot semantic segmentation (ZS3) aims to segment the novel categori...

9 Jian Ding, et al. ∙

research

∙ 12/09/2021

Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images

Targeting at depicting land covers with pixel-wise semantic categories, ...

0 Kunping Yang, et al. ∙

research

∙ 09/28/2021

Motion Deblurring with Real Events

In this paper, we propose an end-to-end learning framework for event-bas...

0 Fang Xu, et al. ∙

research

∙ 09/08/2021

Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation

This paper presents a method of learning Local-GlObal Contextual Adaptat...

10 Nan Xue, et al. ∙

research

∙ 09/06/2021

Parsing Table Structures in the Wild

This paper tackles the problem of table structure parsing (TSP) from ima...

10 Rujiao Long, et al. ∙

research

∙ 08/30/2021

LUAI Challenge 2021 on Learning to Understand Aerial Images

This report summarizes the results of Learning to Understand Aerial Imag...

3 Gui-Song Xia, et al. ∙

research

∙ 07/27/2021

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

This paper presents a neural network built upon Transformers, namely Pla...

2 Bin Tan, et al. ∙

research

∙ 03/13/2021

ReDet: A Rotation-equivariant Detector for Aerial Object Detection

Recently, object detection in aerial images has gained much attention in...

0 Jiaming Han, et al. ∙

research

∙ 03/11/2021

Deep Graph Matching under Quadratic Constraint

Recently, deep learning based methods have demonstrated promising result...

0 Quankai Gao, et al. ∙

research

∙ 03/08/2021

Unsupervised Pretraining for Object Detection by Patch Reidentification

Unsupervised representation learning achieves promising performances in ...

0 Jian Ding, et al. ∙

research

∙ 03/03/2021

Event-based Synthetic Aperture Imaging with a Hybrid Network

Synthetic aperture imaging (SAI) is able to achieve the see through effe...

0 Xiang Zhang, et al. ∙

research

∙ 02/24/2021

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

In the past decade, object detection has achieved significant progress i...

5 Jian Ding, et al. ∙

research

∙ 02/05/2021

Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery

Semantic segmentation for aerial platforms has been one of the fundament...

7 Ye Lyu, et al. ∙

Gui-Song Xia

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