Qingshan Liu | DeepAI

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Dacheng Tao
495 publications
Jun Wang
360 publications
Chunhua Shen
312 publications
Peng Wang
224 publications
Meng Wang
217 publications
Bo Liu
167 publications
Li Liu
154 publications
Tongliang Liu
140 publications
Ming-Hsuan Yang
115 publications
Jing Yang
111 publications
Qing Wang
110 publications

∙ 06/01/2023

Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning

With the rise in popularity of video-based social media, new categories ...

0 Shengqin Jiang, et al. ∙

∙ 03/18/2023

Crowd Counting with Online Knowledge Learning

Efficient crowd counting models are urgently required for the applicatio...

0 Shengqin Jiang, et al. ∙

∙ 02/19/2023

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example

Adversarial machine learning (AML) studies the adversarial phenomenon of...

0 Baoyuan Wu, et al. ∙

∙ 12/29/2022

A Unified Object Counting Network with Object Occupation Prior

The counting task, which plays a fundamental rule in numerous applicatio...

0 Shengqin Jiang, et al. ∙

∙ 03/16/2022

PointAttN: You Only Need Attention for Point Cloud Completion

Point cloud completion referring to completing 3D shapes from partial 3D...

0 Jun Wang, et al. ∙

∙ 10/11/2021

Adaptively Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation

In practical application, 3D Human Pose Estimation (HPE) is facing with ...

0 Hui Shuai, et al. ∙

∙ 12/18/2020

Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction

Hyperspectral compressive imaging takes advantage of compressive sensing...

0 Yubao Sun, et al. ∙

∙ 07/07/2020

Meta-Learning with Network Pruning

Meta-learning is a powerful paradigm for few-shot learning. Although wit...

0 Hongduan Tian, et al. ∙

∙ 05/25/2020

Hyperspectral Image Classification with Attention Aided CNNs

Convolutional neural networks (CNNs) have been widely used for hyperspec...

14 Renlong Hang, et al. ∙

∙ 03/13/2020

Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

Co-saliency detection aims to discover the common and salient foreground...

0 Kaihua Zhang, et al. ∙

∙ 03/13/2020

Dual Temporal Memory Network for Efficient Video Object Segmentation

Video Object Segmentation (VOS) is typically formulated in a semi-superv...

3 Kaihua Zhang, et al. ∙

∙ 02/04/2020

Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

In this paper, we propose an efficient and effective framework to fuse h...

15 Renlong Hang, et al. ∙

∙ 01/02/2020

Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

Due to a variety of motions across different frames, it is highly challe...

13 Jin Chen, et al. ∙

∙ 11/29/2019

Deep Object Co-segmentation via Spatial-Semantic Network Modulation

Object co-segmentation is to segment the shared objects in multiple rele...

1 Kaihua Zhang, et al. ∙

∙ 02/28/2019

Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

By considering the spectral signature as a sequence, recurrent neural ne...

10 Renlong Hang, et al. ∙

∙ 05/07/2018

Matrix Completion with Nonuniform Sampling: Theories and Methods

Prevalent matrix completion theories reply on an assumption that the loc...

0 Guangcan Liu, et al. ∙

∙ 03/30/2018

Fast and Robust Subspace Clustering Using Random Projections

Over the past several decades, subspace clustering has been receiving in...

0 Guangcan Liu, et al. ∙

∙ 03/23/2017

Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification

This paper proposes a novel deep learning framework named bidirectional-...

0 Qingshan Liu, et al. ∙

∙ 03/01/2017

Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization

Iterative Hard Thresholding (IHT) is a class of projected gradient desce...

0 Bo Liu, et al. ∙

∙ 12/24/2016

Unsupervised Video Segmentation via Spatio-Temporally Nonlocal Appearance Learning

Video object segmentation is challenging due to the factors like rapidly...

0 Kaihua Zhang, et al. ∙

∙ 11/11/2016

Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification

In this paper, we propose a multi-scale deep feature learning method for...

0 Qingshan Liu, et al. ∙

∙ 11/11/2016

Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification

Convolutional neural networks (CNNs) have attracted increasing attention...

0 Qingshan Liu, et al. ∙

∙ 10/30/2016

Visual Tracking via Boolean Map Representations

In this paper, we present a simple yet effective Boolean map based repre...

0 Kaihua Zhang, et al. ∙

∙ 03/03/2016

Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification

Graph model is emerging as a very effective tool for learning the comple...

0 Qingshan Liu, et al. ∙

∙ 04/21/2015

Adaptive Compressive Tracking via Online Vector Boosting Feature Selection

Recently, the compressive tracking (CT) method has attracted much attent...

0 Qingshan Liu, et al. ∙

∙ 01/19/2015

Robust Visual Tracking via Convolutional Networks

Deep networks have been successfully applied to visual tracking by learn...

0 Kaihua Zhang, et al. ∙

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