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09/18/2023
HiT: Building Mapping with Hierarchical Transformers
Deep learning-based methods have been extensively explored for automatic...
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07/21/2023
SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection
Recently, the pure camera-based Bird's-Eye-View (BEV) perception provide...
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03/07/2023
Learning Discriminative Representations for Skeleton Based Action Recognition
Human action recognition aims at classifying the category of human actio...
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03/01/2023
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction
Extracting building footprints from remote sensing images has been attra...
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12/08/2022
An Empirical Study on Multi-Domain Robust Semantic Segmentation
How to effectively leverage the plentiful existing datasets to train a r...
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10/05/2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Recently, few-shot object detection (FSOD) has received much attention f...
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09/25/2022
D^3: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos
Tracking multiple athletes in sports videos is a very challenging Multi-...
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09/15/2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Self-training has shown great potential in semi-supervised learning. Its...
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05/08/2022
SparseTT: Visual Tracking with Sparse Transformers
Transformers have been successfully applied to the visual tracking task ...
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03/06/2022
PanFormer: a Transformer Based Model for Pan-sharpening
Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (...
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10/14/2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Though image-level weakly supervised semantic segmentation (WSSS) has ac...
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09/20/2021
Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening
Deep learning based pan-sharpening has received significant research int...
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05/10/2021
Visual Grounding with Transformers
In this paper, we propose a transformer based approach for visual ground...
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04/01/2021
STMTrack: Template-free Visual Tracking with Space-time Memory Networks
Boosting performance of the offline trained siamese trackers is getting ...
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12/24/2020
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images
Objects in aerial images usually have arbitrary orientations and are den...
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12/20/2020
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hyperspectral image classification (HIC) is an important but challenging...
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12/16/2020
PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening
Pan-sharpening aims at fusing a low-resolution (LR) multi-spectral (MS) ...
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12/07/2020
PSCNet: Pyramidal Scale and Global Context Guided Network for Crowd Counting
Crowd counting, which towards to accurately count the number of the obje...
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09/11/2020
Variance Loss: A Confidence-Based Reweighting Strategy for Coarse Semantic Segmentation
Coarsely-labeled semantic segmentation annotations are easy to obtain, b...
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08/28/2020
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
Object counting, whose aim is to estimate the number of objects from a g...
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08/20/2020
Co-Saliency Detection with Co-Attention Fully Convolutional Network
Co-saliency detection aims to detect common salient objects from a group...
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03/28/2020
CNN-based Density Estimation and Crowd Counting: A Survey
Accurately estimating the number of objects in a single image is a chall...
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03/16/2020
TTDM: A Travel Time Difference Model for Next Location Prediction
Next location prediction is of great importance for many location-based ...
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03/14/2020
From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques
Traditional change detection methods usually follow the image differenci...
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02/14/2020
Counting dense objects in remote sensing images
Estimating accurate number of interested objects from a given image is a...
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03/28/2019
Pyramid Mask Text Detector
Scene text detection, an essential step of scene text recognition system...
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05/09/2018
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening
Remote sensing image fusion (also known as pan-sharpening) aims to gener...
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11/29/2017
Road Extraction by Deep Residual U-Net
Road extraction from aerial images has been a hot research topic in the ...
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11/26/2017
Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images
In this paper, we develop a novel convolutional neural network based app...
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11/21/2017
Visual and Textual Sentiment Analysis Using Deep Fusion Convolutional Neural Networks
Sentiment analysis is attracting more and more attentions and has become...
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11/07/2017
