Search Results for author: Licheng Jiao

Found 57 papers, 11 papers with code

Supervised Edge Attention Network for Accurate Image Instance Segmentation

1 code implementation ECCV 2020 Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao, Shi Lingling

In this task, many works segment instance based on a bounding box from the box head, which means the quality of the detection also affects the completeness of the mask.

Instance Segmentation Semantic Segmentation

Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information

no code implementations21 Apr 2022 Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao

In the exploiting stage, we utilize the extracted NDI to construct a novel negative contrastive learning mechanism and a negative guided instance selection strategy for dealing with the issues of part domination and missing instances, respectively.

Contrastive Learning Multiple Instance Learning +1

A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks

no code implementations7 Apr 2022 Chao Wang, Jiaxuan Zhao, Lingling Li, Licheng Jiao, Jing Liu, Kai Wu

Influence maximization is a key issue for mining the deep information of social networks, which aims to select a seed set from the network to maximize the number of influenced nodes.

Adaptively Lighting up Facial Expression Crucial Regions via Local Non-Local Joint Network

no code implementations26 Mar 2022 Shasha Mao, GuangHui Shi, Shuiping Gou, Dandan Yan, Licheng Jiao, Lin Xiong

In the proposed method, two parts are constructed based on facial local and non-local information respectively, where an ensemble of multiple local networks are proposed to extract local features corresponding to multiple facial local regions and a non-local attention network is addressed to explore the significance of each local region.

Facial Expression Recognition

RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition

no code implementations7 Dec 2021 Cheng Peng, Yangyang Li, Ronghua Shang, Licheng Jiao

Recently, a massive number of deep learning based approaches have been successfully applied to various remote sensing image (RSI) recognition tasks.

Neural Architecture Search Object Detection +1

MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images

no code implementations22 Nov 2021 Feng Jie, Yuping Liang, Junpeng Zhang, Xiangrong Zhang, Quanhe Yao, Licheng Jiao

Ship detection in aerial images remains an active yet challenging task due to arbitrary object orientation and complex background from a bird's-eye perspective.

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

2 code implementations21 Nov 2021 Zhonghua Li, Biao Hou, Zitong Wu, Licheng Jiao, Bo Ren, Chen Yang

We convert a lightweight FCOSR model to TensorRT format, which achieves 73. 93 mAP on DOTA1. 0 at a speed of 10. 68 FPS on Jetson Xavier NX with single scale.

Object Detection

Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification

no code implementations4 Nov 2021 XiaoHui Yang, Zheng Wang, Huan Wu, Licheng Jiao, Yiming Xu, Haolin Chen

The proposed model aims to mine the hidden semantic information and intrinsic structure information of all available data, which is suitable for few labeled samples and proportion imbalance between labeled samples and unlabeled samples problems in frontal face recognition.

Face Recognition Sparse Representation-based Classification

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation

no code implementations3 Aug 2021 Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao

Semantic segmentation has been continuously investigated in the last ten years, and majority of the established technologies are based on supervised models.

Weakly-Supervised Semantic Segmentation

Unsupervised Outlier Detection using Memory and Contrastive Learning

no code implementations27 Jul 2021 Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao

Instead, we think outlier detection can be done in the feature space by measuring the feature distance between outliers and inliers.

Contrastive Learning Outlier Detection

Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images

no code implementations25 Jul 2021 Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou

To address the above problems, we propose an end-to-end multi-category instance segmentation model, namely Semantic Attention and Scale Complementary Network, which mainly consists of a Semantic Attention (SEA) module and a Scale Complementary Mask Branch (SCMB).

Instance Segmentation Semantic Segmentation

Label Distribution Amendment with Emotional Semantic Correlations for Facial Expression Recognition

no code implementations23 Jul 2021 Shasha Mao, GuangHui Shi, Licheng Jiao, Shuiping Gou, Yangyang Li, Lin Xiong, Boxin Shi

Based on this, we propose a new method that amends the label distribution of each facial image by leveraging correlations among expressions in the semantic space.

Facial Expression Recognition

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images

no code implementations14 Jul 2021 Baolian Qi, Gangming Zhao, Xin Wei, Chaowei Fang, Chengwei Pan, Jinpeng Li, Huiguang He, Licheng Jiao

To model the relationship, we propose the Graph Regularized Embedding Network (GREN), which leverages the intra-image and inter-image information to locate diseases on chest X-ray images.

Decision Making

One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment

no code implementations4 May 2021 Qigong Sun, Xiufang Li, Yan Ren, Zhongjian Huang, Xu Liu, Licheng Jiao, Fang Liu

When the precision of quantization is adjusted, it is necessary to fine-tune the quantized model or minimize the quantization noise, which brings inconvenience in practical applications.

Quantization

MWQ: Multiscale Wavelet Quantized Neural Networks

no code implementations9 Mar 2021 Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu

Inspired by the characteristics of images in the frequency domain, we propose a novel multiscale wavelet quantization (MWQ) method.

Model Compression Quantization

Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization

no code implementations4 Mar 2021 Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu

Since model quantization helps to reduce the model size and computation latency, it has been successfully applied in many applications of mobile phones, embedded devices and smart chips.

Quantization

Contralaterally Enhanced Networks for Thoracic Disease Detection

no code implementations9 Oct 2020 Gangming Zhao, Chaowei Fang, Guanbin Li, Licheng Jiao, Yizhou Yu

Aimed at improving the performance of existing detection methods, we propose a deep end-to-end module to exploit the contralateral context information for enhancing feature representations of disease proposals.

Counterfactual Detection meets Transfer Learning

1 code implementation27 May 2020 Kelechi Nwaike, Licheng Jiao

We can consider Counterfactuals as belonging in the domain of Discourse structure and semantics, A core area in Natural Language Understanding and in this paper, we introduce an approach to resolving counterfactual detection as well as the indexing of the antecedents and consequents of Counterfactual statements.

Counterfactual Detection General Classification +3

A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images

no code implementations22 May 2020 Jia-Wei Chen, Rongfang Wang, Fan Ding, Bo Liu, Licheng Jiao, Jie Zhang

Furthermore, to verify the generalization of the proposed method, we apply our proposed method to the cross-dataset bitemporal SAR image change detection, where the MSSP network (MSSP-Net) is trained on a dataset and then applied to an unknown testing dataset.

Change Detection

PolSF: PolSAR image dataset on San Francisco

1 code implementation16 Dec 2019 Xu Liu, Licheng Jiao, Fang Liu

In this paper, we have collected five open polarimetric SAR images, which are images of the San Francisco area.

Image Classification

Hierarchical Feature-Aware Tracking

no code implementations13 Oct 2019 Wenhua Zhang, Licheng Jiao, Jia Liu

Moreover, with the novel expert selection strategy, overfitting caused by fixed experts for each frame can be mitigated.

Frame Visual Tracking

signADAM: Learning Confidences for Deep Neural Networks

1 code implementation21 Jul 2019 Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao

In this paper, we propose a new first-order gradient-based algorithm to train deep neural networks.

A Survey of Deep Learning-based Object Detection

no code implementations11 Jul 2019 Licheng Jiao, Fan Zhang, Fang Liu, Shuyuan Yang, Lingling Li, Zhixi Feng, Rong Qu

Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in peoples life, such as monitoring security, autonomous driving and so on, with the purpose of locating instances of semantic objects of a certain class.

Autonomous Driving Object Detection

SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance

no code implementations19 Jun 2019 Rongfang Wang, Jia-Wei Chen, Yule Wang, Licheng Jiao, Mi Wang

In this letter, we proposed a spatial metric learning method to obtain a difference image more robust to the speckle by learning a metric from a set of constraint pairs.

Change Detection Metric Learning

PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine

no code implementations17 Jun 2019 Xu Liu, Licheng Jiao, Dan Zhang, Fang Liu

In this paper, a novel POLSAR image classification method is proposed based on polarimetric scattering coding and sparse support matrix machine.

Classification General Classification +1

Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification

no code implementations9 Jun 2019 Xiufang Li, Qigong Sun, Lingling Li, Zhongle Ren, Fang Liu, Licheng Jiao

Exploiting rich spatial and spectral features contributes to improve the classification accuracy of hyperspectral images (HSIs).

Classification General Classification +1

Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification

no code implementations9 Jun 2019 Qigong Sun, Xiufang Li, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao

However, their interpretation faces some challenges, e. g., deficiency of labeled data, inadequate utilization of data information and so on.

General Classification Image Classification

Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1

no code implementations31 May 2019 Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao

The training of deep neural networks (DNNs) requires intensive resources both for computation and for storage performance.

Image Classification Model Compression +1

Parameter-Free Spatial Attention Network for Person Re-Identification

3 code implementations29 Nov 2018 Haoran Wang, Yue Fan, Zexin Wang, Licheng Jiao, Bernt Schiele

We propose a novel architecture for Person Re-Identification, based on a novel parameter-free spatial attention layer introducing spatial relations among the feature map activations back to the model.

Person Re-Identification

Efficient Computation of Quantized Neural Networks by {−1, +1} Encoding Decomposition

no code implementations8 Oct 2018 Qigong Sun, Fanhua Shang, Xiufang Li, Kang Yang, Peizhuo Lv, Licheng Jiao

Deep neural networks require extensive computing resources, and can not be efficiently applied to embedded devices such as mobile phones, which seriously limits their applicability.

Image Classification Model Compression +1

ASVRG: Accelerated Proximal SVRG

no code implementations7 Oct 2018 Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin

This paper proposes an accelerated proximal stochastic variance reduced gradient (ASVRG) method, in which we design a simple and effective momentum acceleration trick.

Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification

no code implementations5 Sep 2018 Yan Ju, Lingling Li, Licheng Jiao, Zhongle Ren, Biao Hou, Shuyuan Yang

Due to the limited amount and imbalanced classes of labeled training data, the conventional supervised learning can not ensure the discrimination of the learned feature for hyperspectral image (HSI) classification.

Classification General Classification +1

Deep Adaptive Proposal Network for Object Detection in Optical Remote Sensing Images

no code implementations19 Jul 2018 Lin Cheng, Xu Liu, Lingling Li, Licheng Jiao, Xu Tang

More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to be a promising tool for object detection in optical remote sensing images, while the sparse and dense characteristic of objects in remote sensing images is complexity.

Object Detection Region Proposal

Polarimetric Convolutional Network for PolSAR Image Classification

1 code implementation9 Jul 2018 Xu Liu, Licheng Jiao, Xu Tang, Qigong Sun, Dan Zhang

Based on sparse scattering coding and convolution neural network, the polarimetric convolutional network is proposed to classify PolSAR images by making full use of polarimetric information.

Classification General Classification +1

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning

1 code implementation26 Feb 2018 Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, DaCheng Tao, Licheng Jiao

In this paper, we propose a simple variant of the original SVRG, called variance reduced stochastic gradient descent (VR-SGD).

Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds

no code implementations NeurIPS 2017 Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao

In this paper, we propose an accelerated first-order method for geodesically convex optimization, which is the generalization of the standard Nesterov's accelerated method from Euclidean space to nonlinear Riemannian space.

Multiple Instance Hybrid Estimator for Hyperspectral Target Characterization and Sub-pixel Target Detection

no code implementations31 Oct 2017 Changzhe Jiao, Chao Chen, Ronald G. McGarvey, Stephanie Bohlman, Licheng Jiao, Alina Zare

The Multiple Instance Hybrid Estimator for discriminative target characterization from imprecisely labeled hyperspectral data is presented.

Multiple Instance Learning

Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering

no code implementations18 Jul 2017 Zaidao Wen, Biao Hou, Qian Wu, Licheng Jiao

This paper develops a novel iterative framework for subspace clustering in a learned discriminative feature domain.

Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification

no code implementations30 Apr 2017 Zaidao Wen, Biao Hou, Licheng Jiao

Linear synthesis model based dictionary learning framework has achieved remarkable performances in image classification in the last decade.

Classification Dictionary Learning +3

Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations

no code implementations24 Apr 2017 Biao Hou, Zaidao Wen, Licheng Jiao, Qian Wu

Sparsity-regularized synthetic aperture radar (SAR) imaging framework has shown its remarkable performance to generate a feature enhanced high resolution image, in which a sparsity-inducing regularizer is involved by exploiting the sparsity priors of some visual features in the underlying image.

Decision Making

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification

no code implementations1 Jul 2015 Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan

For polarimetric SAR (PolSAR) image classification, it is a challenge to classify the aggregated terrain types, such as the urban area, into semantic homogenous regions due to sharp bright-dark variations in intensity.

General Classification Image Classification

Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm

no code implementations18 Dec 2014 Jiaqi Zhao, Vitor Basto Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Michael T. M. Emmerich

The design of the algorithm proposed in this paper is inspired by indicator-based evolutionary algorithms, where first a performance indicator for a solution set is established and then a selection operator is designed that complies with the performance indicator.

Classification General Classification +2

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