Haijun Liu

According to our database, Haijun Liu authored at least 51 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AirSOD: A Lightweight Network for RGB-D Salient Object Detection.

Zhihong Zeng, Haijun Liu, Fenglei Chen, Xiaoheng Tan

IEEE Trans. Circuits Syst. Video Technol., March, 2024

BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image.

Xichuan Zhou, Xuan Zou, Xiangfei Shen, Wenjia Wei, Xia Zhu, Haijun Liu

IEEE Trans. Geosci. Remote. Sens., 2024

MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images.

Xichuan Zhou, Fu Liang, Lihui Chen, Haijun Liu, Qianqian Song, Gemine Vivone, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2024

MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection.

Haijun Liu, Xi Su, Xiangfei Shen, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2024

PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator.

Shiguang Wang, Tao Xie, Haijun Liu, Xingcheng Zhang, Jian Cheng

Neural Networks, 2024

Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers.

Rui Ding, Liang Yong, Sihuan Zhao, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou

CoRR, 2024

MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection.

Yue Zhan, Zhihong Zeng, Haijun Liu, Xiaoheng Tan, Yinli Tian

CoRR, 2024

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution.

Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou

CoRR, 2024

2023

InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera.

Xichuan Zhou, Dongshan Lei, Chunqiao Long, Jing Nie, Haijun Liu

Neural Networks, September, 2023

Compensated Attention Feature Fusion and Hierarchical Multiplication Decoder Network for RGB-D Salient Object Detection.

Zhihong Zeng, Haijun Liu, Fenglei Chen, Xiaoheng Tan

Remote. Sens., May, 2023

Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation.

Xichuan Zhou, Rui Ding, Yuxiao Wang, Wenjia Wei, Haijun Liu

IEEE Trans. Multim., 2023

Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection.

Xiangfei Shen, Haijun Liu, Jing Nie, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

Efficient Hyperspectral Sparse Regression Unmixing With Multilayers.

Xiangfei Shen, Lihui Chen, Haijun Liu, Xi Su, Wenjia Wei, Xia Zhu, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2023

MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer.

Shiguang Wang, Tao Xie, Jian Cheng, Xingcheng Zhang, Haijun Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective.

Xiangfei Shen, Haijun Liu, Jian Qin, Fangyuan Ge, Xichuan Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

A Novel Multidimensional Domain Deep Learning Network for SAR Ship Detection.

Dong Li, Quanhuan Liang, Hongqing Liu, Qinghua Liu, Haijun Liu, Guisheng Liao

IEEE Trans. Geosci. Remote. Sens., 2022

LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing.

Xichuan Zhou, Rui Ding, Haijun Liu

IEEE Signal Process. Lett., 2022

A Fourier-Based Semantic Augmentation for Visible-Thermal Person Re-Identification.

Xiaoheng Tan, Yanxia Chai, Fenglei Chen, Haijun Liu

IEEE Signal Process. Lett., 2022

Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning.

Yanzhou Su, Jian Cheng, Haiwei Bai, Haijun Liu, Changtao He

Remote. Sens., 2022

AMFuse: Add-Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation.

Haijun Liu, Fenglei Chen, Zhihong Zeng, Xiaoheng Tan

Remote. Sens., 2022

BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation.

Fenglei Chen, Haijun Liu, Zhihong Zeng, Xichuan Zhou, Xiaoheng Tan

Remote. Sens., 2022

Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning.

Yanzhou Su, Jian Cheng, Wen Wang, Haiwei Bai, Haijun Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing.

Xiangfei Shen, Haijun Liu, Xinzheng Zhang, Kai Qin, Xichuan Zhou

IEEE Geosci. Remote. Sens. Lett., 2022

FAPN: Feature Augmented Pyramid Network for polyp segmentation.

Yanzhou Su, Jian Cheng, Murong Yi, Haijun Liu

Biomed. Signal Process. Control., 2022

How to design a deep neural network for retinal vessel segmentation: an empirical study.

Yanzhou Su, Jian Cheng, Guiqun Cao, Haijun Liu

Biomed. Signal Process. Control., 2022

2021

Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visible-Thermal Person Re-Identification.

Haijun Liu, Xiaoheng Tan, Xichuan Zhou

IEEE Trans. Multim., 2021

Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification.

Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou

IEEE Signal Process. Lett., 2021

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition.

Chengzhi Jiang, Yanzhou Su, Wen Wang, Haiwei Bai, Haijun Liu, Jian Cheng

CoRR, 2021

Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder.

Shuai Zhang, Fangyuan Ge, Rui Ding, Haijun Liu, Xichuan Zhou

Proceedings of the International Joint Conference on Neural Networks, 2021

Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization.

Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multi-Scale Based Context-Aware Net for Action Detection.

Haijun Liu, Shiguang Wang, Wen Wang, Jian Cheng

IEEE Trans. Multim., 2020

Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification.

Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su, Haiwei Bai

Neurocomputing, 2020

Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification.

Haijun Liu, Xiaoheng Tan

CoRR, 2020

Neural Network Activation Quantization with Bitwise Information Bottlenecks.

Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu

CoRR, 2020

2019

Gallery based <i>k</i>-reciprocal-like re-ranking for heavy cross-camera discrepancy in person re-identification.

Haijun Liu, Jian Cheng

Neurocomputing, 2019

Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification.

Haijun Liu, Jian Cheng

CoRR, 2019

The General Pair-based Weighting Loss for Deep Metric Learning.

Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su

CoRR, 2019

Attention: A Big Surprise for Cross-Domain Person Re-Identification.

Haijun Liu, Jian Cheng, Shiguang Wang, Wen Wang

CoRR, 2019

2018

Pedestrian Detection via Body Part Semantic and Contextual Information With DNN.

Shiguang Wang, Jian Cheng, Haijun Liu, Feng Wang, Hui Zhou

IEEE Trans. Multim., 2018

Sequential Subspace Clustering via Temporal Smoothness for Sequential Data Segmentation.

Haijun Liu, Jian Cheng, Feng Wang

IEEE Trans. Image Process., 2018

Additive Margin Softmax for Face Verification.

Feng Wang, Jian Cheng, Weiyang Liu, Haijun Liu

IEEE Signal Process. Lett., 2018

Visualizing deep neural network by alternately image blurring and deblurring.

Feng Wang, Haijun Liu, Jian Cheng

Neural Networks, 2018

PCN: Part and Context Information for Pedestrian Detection with CNNs.

Shiguang Wang, Jian Cheng, Haijun Liu, Ming Tang

CoRR, 2018

Temporal Action Detection by Joint Identification-Verification.

Wen Wang, Yongjian Wu, Haijun Liu, Shiguang Wang, Jian Cheng

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Additive Margin Softmax for Face Verification.

Feng Wang, Weiyang Liu, Hanjun Dai, Haijun Liu, Jian Cheng

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Kinship verification based on status-aware projection learning.

Haijun Liu, Jian Cheng, Feng Wang

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Sequential Subspace Clustering via Temporal Smoothness.

Haijun Liu, Jian Cheng, Feng Wang

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2015

Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning.

Jian Cheng, Haijun Liu, Feng Wang, Hongsheng Li, Ce Zhu

IEEE Trans. Image Process., 2015

Segmentation-Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features.

Jian Cheng, Yaqi Ji, Haijun Liu

Remote. Sens., 2015

2014

Silhouette analysis for human action recognition based on maximum spatio-temporal dissimilarity embedding.

Jian Cheng, Haijun Liu, Hongsheng Li

Mach. Vis. Appl., 2014

2013

High-resolution remote sensing image segmentation based on improved RIU-LBP and SRM.

Jian Cheng, Lan Li, Bo Luo, Shuai Wang, Haijun Liu

EURASIP J. Wirel. Commun. Netw., 2013