b'Qingjie Liu'

research

∙ 03/07/2023

Learning Discriminative Representations for Skeleton Based Action Recognition

Human action recognition aims at classifying the category of human actio...

0 Huanyu Zhou, et al. ∙

research

∙ 03/01/2023

BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction

Extracting building footprints from remote sensing images has been attra...

0 Mingming Zhang, et al. ∙

research

∙ 12/08/2022

An Empirical Study on Multi-Domain Robust Semantic Segmentation

How to effectively leverage the plentiful existing datasets to train a r...

0 Yajie Liu, et al. ∙

research

∙ 10/05/2022

Exploring Effective Knowledge Transfer for Few-shot Object Detection

Recently, few-shot object detection (FSOD) has received much attention f...

0 Zhiyuan Zhao, et al. ∙

research

∙ 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-...

0 Rui He, et al. ∙

research

∙ 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...

0 Ye Du, et al. ∙

research

∙ 05/08/2022

SparseTT: Visual Tracking with Sparse Transformers

Transformers have been successfully applied to the visual tracking task ...

0 Zhihong Fu, et al. ∙

research

∙ 03/06/2022

PanFormer: a Transformer Based Model for Pan-sharpening

Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (...

0 Huanyu Zhou, et al. ∙

research

∙ 10/14/2021

Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

Though image-level weakly supervised semantic segmentation (WSSS) has ac...

0 Ye Du, et al. ∙

research

∙ 09/20/2021

Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening

Deep learning based pan-sharpening has received significant research int...

4 Huanyu Zhou, et al. ∙

research

∙ 05/10/2021

Visual Grounding with Transformers

In this paper, we propose a transformer based approach for visual ground...

0 Ye Du, et al. ∙

research

∙ 04/01/2021

STMTrack: Template-free Visual Tracking with Space-time Memory Networks

Boosting performance of the offline trained siamese trackers is getting ...

0 Zhihong Fu, et al. ∙

research

∙ 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...

1 Ran Qin, et al. ∙

research

∙ 12/20/2020

Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks

Hyperspectral image classification (HIC) is an important but challenging...

6 Hao Zeng, et al. ∙

research

∙ 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) ...

0 Huanyu Zhou, et al. ∙

research

∙ 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...

0 Guangshuai Gao, et al. ∙

research

∙ 09/11/2020

Variance Loss: A Confidence-Based Reweighting Strategy for Coarse Semantic Segmentation

Coarsely-labeled semantic segmentation annotations are easy to obtain, b...

0 Jingchao Liu, et al. ∙

research

∙ 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...

8 Guangshuai Gao, et al. ∙

research

∙ 08/20/2020

Co-Saliency Detection with Co-Attention Fully Convolutional Network

Co-saliency detection aims to detect common salient objects from a group...

0 Guangshuai Gao, et al. ∙

research

∙ 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...

0 Guangshuai Gao, et al. ∙

research

∙ 03/16/2020

TTDM: A Travel Time Difference Model for Next Location Prediction

Next location prediction is of great importance for many location-based ...

0 Qingjie Liu, et al. ∙

research

∙ 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...

0 Bin Hou, et al. ∙

research

∙ 02/14/2020

Counting dense objects in remote sensing images

Estimating accurate number of interested objects from a given image is a...

0 Guangshuai Gao, et al. ∙

research

∙ 03/28/2019

Pyramid Mask Text Detector

Scene text detection, an essential step of scene text recognition system...

0 Jingchao Liu, et al. ∙

research

∙ 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...

0 Xiangyu Liu, et al. ∙

research

∙ 11/29/2017

Road Extraction by Deep Residual U-Net

Road extraction from aerial images has been a hot research topic in the ...

0 Zhengxin Zhang, et al. ∙

research

∙ 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...

0 Qiang Chen, et al. ∙

research

∙ 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...

0 Xingyue Chen, et al. ∙

research

∙ 11/07/2017

Remote Sensing Image Fusion Based on Two-stream Fusion Network

Remote sensing image fusion (or pan-sharpening) aims at generating high ...

0 Xiangyu Liu, et al. ∙

Qingjie Liu

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