research
∙
08/31/2023
Decoupled Local Aggregation for Point Cloud Learning
The unstructured nature of point clouds demands that local aggregation b...
share
research
∙
06/29/2023
The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot
Segmentation is an essential step for remote sensing image processing. T...
research
∙
06/08/2023
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction
In the domain of remote sensing image interpretation, road extraction fr...
research
∙
05/20/2023
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
Parameter-efficient tuning aims to mitigate the large memory requirement...
research
∙
05/04/2023
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture
Multi-task learning has proven to be effective in improving the performa...
research
∙
10/25/2022
Parameter-Efficient Legal Domain Adaptation
Seeking legal advice is often expensive. Recent advancement in machine l...
research
∙
10/01/2022
NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review
Neural Radiance Field (NeRF), a new novel view synthesis with implicit s...
research
∙
09/21/2022
3DPCT: 3D Point Cloud Transformer with Dual Self-attention
Transformers have resulted in remarkable achievements in the field of im...
research
∙
06/03/2022
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset
Snow is one of the toughest adverse weather conditions for object detect...
research
∙
05/16/2022
Transformers in 3D Point Clouds: A Survey
In recent years, Transformer models have been proven to have the remarka...
research
∙
03/02/2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
Although accurate and fast point cloud classification is a fundamental t...
research
∙
01/09/2022
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision
Learning dense point-wise semantics from unstructured 3D point clouds wi...
research
∙
06/15/2021
Direction-aware Feature-level Frequency Decomposition for Single Image Deraining
We present a novel direction-aware feature-level frequency decomposition...
research
∙
03/16/2021
A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images
Building footprints data is of importance in several urban applications ...
research
∙
02/08/2021
Semantic Segmentation with Labeling Uncertainty and Class Imbalance
Recently, methods based on Convolutional Neural Networks (CNN) achieved ...
research
∙
02/08/2021
Counting and Locating High-Density Objects Using Convolutional Neural Network
This paper presents a Convolutional Neural Network (CNN) approach for co...
research
∙
02/05/2021
A Deep Learning Approach Based on Graphs to Detect Plantation Lines
Deep learning-based networks are among the most prominent methods to lea...
research
∙
01/24/2021
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World
Ground filtering has remained a widely studied but incompletely resolved...
research
∙
01/22/2021
A Review on Deep Learning in UAV Remote Sensing
Deep Neural Networks (DNNs) learn representation from data with an impre...
research
∙
12/31/2020
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
In this paper, we propose a novel deep learning method based on a Convol...
research
∙
10/21/2020
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
Stack interchanges are essential components of transportation systems. M...
research
∙
07/02/2020
Climbing the WOL: Training for Cheaper Inference
Efficient inference for wide output layers (WOLs) is an essential yet ch...
research
∙
05/20/2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Recently, the advancement of deep learning in discriminative feature lea...
research
∙
03/18/2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Semantic segmentation of large-scale outdoor point clouds is essential f...
research
∙
10/29/2019
Deep convolutional neural network application on rooftop detection for aerial image
As one of the most destructive disasters in the world, earthquake causes...
research
∙
10/09/2019
PipeMare: Asynchronous Pipeline Parallel DNN Training
Recently there has been a flurry of interest around using pipeline paral...
research
∙
09/08/2019
Squeeze-and-Attention Networks for Semantic Segmentation
Squeeze-and-excitation (SE) module enhances the representational power o...
research
∙
06/20/2019
PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds
Middle-echo, which covers one or a few corresponding points, is a specif...
research
∙
06/03/2019
RF-Net: An End-to-End Image Matching Network based on Receptive Field
This paper proposes a new end-to-end trainable matching network based on...
research
∙
05/20/2019
Fast Regularity-Constrained Plane Reconstruction
Man-made environments typically comprise planar structures that exhibit ...
research
∙
05/12/2019
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification
In this paper, we address the hyperspectral image (HSI) classification t...
research
∙
04/17/2019
LO-Net: Deep Real-time Lidar Odometry
We present a novel deep convolutional network pipeline, LO-Net, for real...
research
∙
11/22/2018
NeuroTreeNet: A New Method to Explore Horizontal Expansion Network
It is widely recognized that the deeper networks or networks with more f...
research
∙
09/22/2018
Geometric Multi-Model Fitting by Deep Reinforcement Learning
This paper deals with the geometric multi-model fitting from noisy, unst...
research
∙
02/10/2018
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification
High spectral dimensionality and the shortage of annotations make hypers...
research
∙
10/10/2017
Traffic Sign Timely Visual Recognizability Evaluation Based on 3D Measurable Point Clouds
The timely provision of traffic sign information to drivers is essential...
research
∙
10/17/2016
Partial Procedural Geometric Model Fitting for Point Clouds
Geometric model fitting is a fundamental task in computer graphics and c...
research
∙
12/29/2015
