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09/20/2023
2D-3D Pose Tracking with Multi-View Constraints
Camera localization in 3D LiDAR maps has gained increasing attention due...
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09/06/2023
Patched Line Segment Learning for Vector Road Mapping
This paper presents a novel approach to computing vector road maps from ...
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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...
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08/11/2023
Generalizing Event-Based Motion Deblurring in Real-World Scenarios
Event-based motion deblurring has shown promising results by exploiting ...
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07/23/2023
Towards Generic and Controllable Attacks Against Object Detection
Existing adversarial attacks against Object Detectors (ODs) suffer from ...
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07/14/2023
Volumetric Wireframe Parsing from Neural Attraction Fields
The primal sketch is a fundamental representation in Marr's vision theor...
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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...
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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 ...
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05/22/2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
Current semantic segmentation models have achieved great success under t...
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05/11/2023
FreePoint: Unsupervised Point Cloud Instance Segmentation
Instance segmentation of point clouds is a crucial task in 3D field with...
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04/18/2023
Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
Detecting arbitrarily oriented tiny objects poses intense challenges to ...
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04/14/2023
Self-Supervised Scene Dynamic Recovery from Rolling Shutter Images and Events
Scene Dynamic Recovery (SDR) by inverting distorted Rolling Shutter (RS)...
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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...
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03/26/2023
Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs
This paper aims to develop an accurate 3D geometry representation of sat...
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02/27/2023
Learning to Super-Resolve Blurry Images with Events
Super-Resolution from a single motion Blurred image (SRB) is a severely ...
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01/31/2023
Few-Shot Object Detection via Variational Feature Aggregation
As few-shot object detectors are often trained with abundant base sample...
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01/26/2023
Detecting Building Changes with Off-Nadir Aerial Images
The tilted viewing nature of the off-nadir aerial images brings severe c...
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12/05/2022
Learning to See Through with Events
Although synthetic aperture imaging (SAI) can achieve the seeing-through...
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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...
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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...
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11/14/2022
Detecting Line Segments in Motion-blurred Images with Events
Making line segment detectors more reliable under motion blurs is one of...
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10/24/2022
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
This paper presents Holistically-Attracted Wireframe Parsing (HAWP) for ...
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09/25/2022
Anomaly Detection in Aerial Videos with Transformers
Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspe...
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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...
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09/02/2022
Transformers in Remote Sensing: A Survey
Deep learning-based algorithms have seen a massive popularity in differe...
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09/01/2022
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery
High-resolution satellite images can provide abundant, detailed spatial ...
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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...
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08/15/2022
HoW-3D: Holistic 3D Wireframe Perception from a Single Image
This paper studies the problem of holistic 3D wireframe perception (HoW-...
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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...
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08/01/2022
Accurate Polygonal Mapping of Buildings in Satellite Imagery
This paper studies the problem of polygonal mapping of buildings by tack...
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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...
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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...
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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...
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04/28/2022
Learning to Extract Building Footprints from Off-Nadir Aerial Images
Extracting building footprints from aerial images is essential for preci...
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03/28/2022
Expanding Low-Density Latent Regions for Open-Set Object Detection
Modern object detectors have achieved impressive progress under the clos...
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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...
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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...
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12/15/2021
Decoupling Zero-Shot Semantic Segmentation
Zero-shot semantic segmentation (ZS3) aims to segment the novel categori...
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12/09/2021
Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images
Targeting at depicting land covers with pixel-wise semantic categories, ...
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09/28/2021
Motion Deblurring with Real Events
In this paper, we propose an end-to-end learning framework for event-bas...
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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...
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09/06/2021
Parsing Table Structures in the Wild
This paper tackles the problem of table structure parsing (TSP) from ima...
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08/30/2021
LUAI Challenge 2021 on Learning to Understand Aerial Images
This report summarizes the results of Learning to Understand Aerial Imag...
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07/27/2021
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
This paper presents a neural network built upon Transformers, namely Pla...
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03/13/2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Recently, object detection in aerial images has gained much attention in...
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03/11/2021
Deep Graph Matching under Quadratic Constraint
Recently, deep learning based methods have demonstrated promising result...
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03/08/2021
Unsupervised Pretraining for Object Detection by Patch Reidentification
Unsupervised representation learning achieves promising performances in ...
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03/03/2021
Event-based Synthetic Aperture Imaging with a Hybrid Network
Synthetic aperture imaging (SAI) is able to achieve the see through effe...
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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...
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02/05/2021
