Search Results for author: Qingjie Liu

Found 30 papers, 20 papers with code

Learning Discriminative Representations for Skeleton Based Action Recognition

1 code implementation7 Mar 2023 Huanyu Zhou, Qingjie Liu, Yunhong Wang

Furthermore, FR Head could be imposed on different stages of GCNs to build a multi-level refinement for stronger supervision.

Action Recognition Skeleton Based Action Recognition +1

An Empirical Study on Multi-Domain Robust Semantic Segmentation

no code implementations8 Dec 2022 Yajie Liu, Pu Ge, Qingjie Liu, Shichao Fan, Yunhong Wang

How to effectively leverage the plentiful existing datasets to train a robust and high-performance model is of great significance for many practical applications.

Data Augmentation Semantic Segmentation

Exploring Effective Knowledge Transfer for Few-shot Object Detection

1 code implementation5 Oct 2022 Zhiyuan Zhao, Qingjie Liu, Yunhong Wang

For the high-shot regime, we propose to use the knowledge learned from ImageNet as guidance for the feature learning in the fine-tuning stage, which will implicitly align the distributions of the novel classes.

Few-Shot Object Detection object-detection +1

D$^{\bf{3}}$: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos

1 code implementation25 Sep 2022 Rui He, Zehua Fu, Qingjie Liu, Yunhong Wang, Xunxun Chen

In this paper, the duplicate detection is newly and precisely defined as occlusion misreporting on the same athlete by multiple detection boxes in one frame.

Multi-Object Tracking

SparseTT: Visual Tracking with Sparse Transformers

1 code implementation8 May 2022 Zhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang

In this paper, we relieve this issue with a sparse attention mechanism by focusing the most relevant information in the search regions, which enables a much accurate tracking.

Visual Tracking

PanFormer: a Transformer Based Model for Pan-sharpening

1 code implementation6 Mar 2022 Huanyu Zhou, Qingjie Liu, Yunhong Wang

Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (MS) image from a low-resolution (LR) multi-spectral (MS) image and its corresponding panchromatic (PAN) image acquired by a same satellite.

Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening

1 code implementation20 Sep 2021 Huanyu Zhou, Qingjie Liu, Dawei Weng, Yunhong Wang

Most of existing methods fall into the supervised learning framework in which they down-sample the multi-spectral (MS) and panchromatic (PAN) images and regard the original MS images as ground truths to form training samples.

Visual Grounding with Transformers

1 code implementation10 May 2021 Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang

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

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

1 code implementation CVPR 2021 Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang

Boosting performance of the offline trained siamese trackers is getting harder nowadays since the fixed information of the template cropped from the first frame has been almost thoroughly mined, but they are poorly capable of resisting target appearance changes.

Visual Object Tracking Visual Tracking

MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images

no code implementations24 Dec 2020 Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, Yunhong Wang

Objects in aerial images usually have arbitrary orientations and are densely located over the ground, making them extremely challenge to be detected.

object-detection Object Detection In Aerial Images +1

Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks

no code implementations20 Dec 2020 Hao Zeng, Qingjie Liu, Mingming Zhang, Xiaoqing Han, Yunhong Wang

To further lift the classification performance, in this work we propose a graph convolution network (GCN) based framework for HSI classification that uses two clustering operations to better exploit multi-hop node correlations and also effectively reduce graph size.

Classification General Classification +3

PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening

1 code implementation16 Dec 2020 Huanyu Zhou, Qingjie Liu, Yunhong Wang

However, since there are no intended HR MS images as references for learning, almost all of the existing methods down-sample the MS and PAN images and regard the original MS images as targets to form a supervised setting for training.

PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote Sensing Images

1 code implementation7 Dec 2020 Guangshuai Gao, Qingjie Liu, Zhenghui Hu, Lu Li, Qi Wen, Yunhong Wang

Object counting, which aims to count the accurate number of object instances in images, has been attracting more and more attention.

Crowd Counting Object Counting

ARM: A Confidence-Based Adversarial Reweighting Module for Coarse Semantic Segmentation

no code implementations11 Sep 2020 Jingchao Liu, Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang

Experiments on standard datasets shows our ARM can bring consistent improvements for both coarse annotations and fine annotations.

Semantic Segmentation

Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method

1 code implementation28 Aug 2020 Guangshuai Gao, Qingjie Liu, Yunhong Wang

Object counting, whose aim is to estimate the number of objects from a given image, is an important and challenging computation task.

Crowd Counting Object Counting

CNN-based Density Estimation and Crowd Counting: A Survey

3 code implementations28 Mar 2020 Guangshuai Gao, Junyu. Gao, Qingjie Liu, Qi. Wang, Yunhong Wang

Through our analysis, we expect to make reasonable inference and prediction for the future development of crowd counting, and meanwhile, it can also provide feasible solutions for the problem of object counting in other fields.

Crowd Counting Density Estimation +1

TTDM: A Travel Time Difference Model for Next Location Prediction

no code implementations16 Mar 2020 Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen

In particular, we propose a novel method, called Travel Time Difference Model (TTDM), which exploits the difference between the shortest travel time and the actual travel time to predict next locations.

From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

1 code implementation14 Mar 2020 Bin Hou, Qingjie Liu, Heng Wang, Yunhong Wang

Traditional change detection methods usually follow the image differencing, change feature extraction and classification framework, and their performance is limited by such simple image domain differencing and also the hand-crafted features.

Change Detection

Counting dense objects in remote sensing images

no code implementations14 Feb 2020 Guangshuai Gao, Qingjie Liu, Yunhong Wang

Significant efforts have been made to address this problem and achieve great progress, yet counting number of ground objects from remote sensing images is barely studied.

Object Counting

A Feasible Framework for Arbitrary-Shaped Scene Text Recognition

2 code implementations10 Dec 2019 Jinjin Zhang, Wei Wang, Di Huang, Qingjie Liu, Yunhong Wang

Deep learning based methods have achieved surprising progress in Scene Text Recognition (STR), one of classic problems in computer vision.

Instance Segmentation Language Modelling +3

Pyramid Mask Text Detector

1 code implementation28 Mar 2019 Jingchao Liu, Xuebo Liu, Jie Sheng, Ding Liang, Xin Li, Qingjie Liu

Scene text detection, an essential step of scene text recognition system, is to locate text instances in natural scene images automatically.

Instance Segmentation Scene Text Detection +2

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

1 code implementation9 May 2018 Qingjie Liu, Huanyu Zhou, Qizhi Xu, Xiangyu Liu, Yunhong Wang

This paper addresses the problem of remote sensing image pan-sharpening from the perspective of generative adversarial learning.

Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images

no code implementations26 Nov 2017 Qiang Chen, Yunhong Wang, Zheng Liu, Qingjie Liu, Di Huang

In this paper, we develop a novel convolutional neural network based approach to extract and aggregate useful information from gait silhouette sequence images instead of simply representing the gait process by averaging silhouette images.

Gait Recognition

Visual and Textual Sentiment Analysis Using Deep Fusion Convolutional Neural Networks

no code implementations21 Nov 2017 Xingyue Chen, Yunhong Wang, Qingjie Liu

Sentiment analysis is attracting more and more attentions and has become a very hot research topic due to its potential applications in personalized recommendation, opinion mining, etc.

Opinion Mining Sentiment Analysis

Remote Sensing Image Fusion Based on Two-stream Fusion Network

1 code implementation7 Nov 2017 Xiangyu Liu, Qingjie Liu, Yunhong Wang

Unlike previous CNN based methods that consider pan-sharpening as a super resolution problem and perform pan-sharpening in pixel level, the proposed TFNet aims to fuse PAN and MS images in feature level and reconstruct the pan-sharpened image from the fused features.

Image Reconstruction Super-Resolution

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