Haijun Liu

74 papers A* 3B 4Journal 66Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multimodality Image Registration With Modality Distillation.
IEEE Trans. Neural Networks Learn. Syst.
Xichuan Zhou, Jicheng Zhao, Lihui Chen, Gemine Vivone, Yanchun Liu, Jing Nie, Haijun Liu
2026 J jnl
Multiscale wavelet-based spatial-spectral compression network for hyperspectral image.
Eng. Appl. Artif. Intell.
Hang Yu, Mingyang Wan, Tao Chen, Aibin Peng, Xiangfei Shen, Rulong He, Lihui Chen, Haijun Liu, Xichuan Zhou
2026 J jnl
PM-adapter: MoE based dynamic denoising fine-tuning for thermal infrared object detection.
Neurocomputing
Haijun Liu, Jun Zhang, Hang Yu, Boya Wei, Jing Nie, Suju Li, Xichuan Zhou
2025 J jnl
BMSNet: Brain-inspired mixed ultrasound image segmentation network in cancer diagnosis.
J. King Saud Univ. Comput. Inf. Sci.
Chukwuemeka Clinton Atabansi, Jing Nie, Hui Li, Haijun Liu, Xichuan Zhou
2025 J jnl
Bi-SSFormer: An Ultralightweight Binary Spectral-Spatial Transformer for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Rui Ding, Yanchun Liu, Hang Yu, Baoliang Wang, Lihui Chen, Haijun Liu, Donghui Zhang, Gemine Vivone, Xichuan Zhou
2025 J jnl
Binary Neural Networks With Feature Information Retention for Efficient Image Classification.
IEEE Signal Process. Lett.
Rui Ding, Yuxiao Wang, Haijun Liu, Xichuan Zhou
2025 J jnl
DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation.
BMC Medical Imaging
Chukwuemeka Clinton Atabansi, Sheng Wang, Hui Li, Jing Nie, Lei Xiang, Cheng Zhang, Haijun Liu, Xichuan Zhou, Dewei Li
2025 J jnl
Density-Guided and Frequency Modulation Dehazing Network for Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Haijun Liu, Jiachen Huang, Jing Nie, Jin Xie, Lihui Chen, Xichuan Zhou
2025 J jnl
Distribution-modulated binary neural network for image classification.
Image Vis. Comput.
Yingcheng Lin, Yuxiao Wang, Rui Ding, Haijun Liu, Xichuan Zhou
2025 J jnl
E-TransConvNet: An enhanced transformer and convolutional network for medical image segmentation from ultrasound and CT images.
Expert Syst. Appl.
Chukwuemeka Clinton Atabansi, Jing Nie, Jiachen Huang, Yujie Feng, Haijun Liu, Jin Xie, Xichuan Zhou
2025 A* conf
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution.
AAAI
Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou
2025 J jnl
FASI-Net: Frequency-Domain Information Assisted Semantic Interaction Network for Bitemporal Remote Sensing Images Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Fenglei Chen, Haijun Liu, Zhihong Zeng, Xiaoheng Tan
2025 J jnl
Hybrid cross-modality fusion network for medical image segmentation with contrastive learning.
Eng. Appl. Artif. Intell.
Xichuan Zhou, Qianqian Song, Jing Nie, Yujie Feng, Haijun Liu, Fu Liang, Lihui Chen, Jin Xie
2025 J jnl
Iteratively Regularizing Hyperspectral and Multispectral Image Fusion With Framelets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiangfei Shen, Lihui Chen, Haijun Liu, Xichuan Zhou, Wenxing Bao, Ling Tian, Gemine Vivone, Jocelyn Chanussot
2025 J jnl
MIT-SAM: Medical Image-Text SAM With Mutually Enhanced Heterogeneous Features Fusion for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Xichuan Zhou, Lingfeng Yan, Rui Ding, Chukwuemeka Clinton Atabansi, Jing Nie, Lihui Chen, Yujie Feng, Haijun Liu
2025 J jnl
MambaSOD: Dual Mamba-driven cross-modal fusion network for RGB-D Salient Object Detection.
Neurocomputing
Yue Zhan, Zhihong Zeng, Haijun Liu, Xiaoheng Tan, Yinli Tian
2025 J jnl
Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers.
Neural Networks
Rui Ding, Liang Yong, Sihuan Zhao, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou
2025 J jnl
Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xi Su, Xiangfei Shen, Haijun Liu, Lihui Chen, Gemine Vivone, Xichuan Zhou
2024 J jnl
AirSOD: A Lightweight Network for RGB-D Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Zhihong Zeng, Haijun Liu, Fenglei Chen, Xiaoheng Tan
2024 J jnl
BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Xichuan Zhou, Xuan Zou, Xiangfei Shen, Wenjia Wei, Xia Zhu, Haijun Liu
2024 J jnl
EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution.
CoRR
Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou
2024 J jnl
GOENet: Group Operations Enhanced Binary Neural Network for Efficient Image Classification.
IEEE Signal Process. Lett.
Rui Ding, Yuxiao Wang, Haijun Liu, Xichuan Zhou
2024 J jnl
MSNet: Self-Supervised Multiscale Network With Enhanced Separation Training for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens.
Haijun Liu, Xi Su, Xiangfei Shen, Xichuan Zhou
2024 J jnl
MambaSOD: Dual Mamba-Driven Cross-Modal Fusion Network for RGB-D Salient Object Detection.
CoRR
Yue Zhan, Zhihong Zeng, Haijun Liu, Xiaoheng Tan, Yinli Tian
2024 J jnl
MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Xichuan Zhou, Fu Liang, Lihui Chen, Haijun Liu, Qianqian Song, Gemine Vivone, Jocelyn Chanussot
2024 J jnl
PSE-Net: Channel Pruning for Convolutional Neural Networks with Parallel-subnets Estimator.
CoRR
Shiguang Wang, Tao Xie, Haijun Liu, Xingcheng Zhang, Jian Cheng
2024 J jnl
PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator.
Neural Networks
Shiguang Wang, Tao Xie, Haijun Liu, Xingcheng Zhang, Jian Cheng
2024 J jnl
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers.
CoRR
Rui Ding, Liang Yong, Sihuan Zhao, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou
2023 J jnl
Cellular Binary Neural Network for Accurate Image Classification and Semantic Segmentation.
IEEE Trans. Multim.
Xichuan Zhou, Rui Ding, Yuxiao Wang, Wenjia Wei, Haijun Liu
2023 J jnl
Compensated Attention Feature Fusion and Hierarchical Multiplication Decoder Network for RGB-D Salient Object Detection.
Remote. Sens.
Zhihong Zeng, Haijun Liu, Fenglei Chen, Xiaoheng Tan
2023 J jnl
Efficient Hyperspectral Sparse Regression Unmixing With Multilayers.
IEEE Trans. Geosci. Remote. Sens.
Xiangfei Shen, Lihui Chen, Haijun Liu, Xi Su, Wenjia Wei, Xia Zhu, Xichuan Zhou
2023 J jnl
InfraNet: Accurate forehead temperature measurement framework for people in the wild with monocular thermal infrared camera.
Neural Networks
Xichuan Zhou, Dongshan Lei, Chunqiao Long, Jing Nie, Haijun Liu
2023 A* conf
MDL-NAS: A Joint Multi-domain Learning Framework for Vision Transformer.
CVPR
Shiguang Wang, Tao Xie, Jian Cheng, Xingcheng Zhang, Haijun Liu
2023 J jnl
Matrix Factorization With Framelet and Saliency Priors for Hyperspectral Anomaly Detection.
IEEE Trans. Geosci. Remote. Sens.
Xiangfei Shen, Haijun Liu, Jing Nie, Xichuan Zhou
2022 J jnl
A Fourier-Based Semantic Augmentation for Visible-Thermal Person Re-Identification.
IEEE Signal Process. Lett.
Xiaoheng Tan, Yanxia Chai, Fenglei Chen, Haijun Liu
2022 J jnl
A Novel Multidimensional Domain Deep Learning Network for SAR Ship Detection.
IEEE Trans. Geosci. Remote. Sens.
Dong Li, Quanhuan Liang, Hongqing Liu, Qinghua Liu, Haijun Liu, Guisheng Liao
2022 J jnl
AMFuse: Add-Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation.
Remote. Sens.
Haijun Liu, Fenglei Chen, Zhihong Zeng, Xiaoheng Tan
2022 J jnl
BES-Net: Boundary Enhancing Semantic Context Network for High-Resolution Image Semantic Segmentation.
Remote. Sens.
Fenglei Chen, Haijun Liu, Zhihong Zeng, Xichuan Zhou, Xiaoheng Tan
2022 J jnl
FAPN: Feature Augmented Pyramid Network for polyp segmentation.
Biomed. Signal Process. Control.
Yanzhou Su, Jian Cheng, Murong Yi, Haijun Liu
2022 J jnl
How to design a deep neural network for retinal vessel segmentation: an empirical study.
Biomed. Signal Process. Control.
Yanzhou Su, Jian Cheng, Guiqun Cao, Haijun Liu
2022 J jnl
LC-BiDet: Laterally Connected Binary Detector With Efficient Image Processing.
IEEE Signal Process. Lett.
Xichuan Zhou, Rui Ding, Haijun Liu
2022 J jnl
Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning.
IEEE Geosci. Remote. Sens. Lett.
Yanzhou Su, Jian Cheng, Wen Wang, Haiwei Bai, Haijun Liu
2022 J jnl
Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning.
Remote. Sens.
Yanzhou Su, Jian Cheng, Haiwei Bai, Haijun Liu, Changtao He
2022 J jnl
Superpixel-Guided Local Sparsity Prior for Hyperspectral Sparse Regression Unmixing.
IEEE Geosci. Remote. Sens. Lett.
Xiangfei Shen, Haijun Liu, Xinzheng Zhang, Kai Qin, Xichuan Zhou
2022 J jnl
Toward Weak Signal Analysis in Hyperspectral Data: An Efficient Unmixing Perspective.
IEEE Trans. Geosci. Remote. Sens.
Xiangfei Shen, Haijun Liu, Jian Qin, Fangyuan Ge, Xichuan Zhou
2021 J jnl
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition.
CoRR
Chengzhi Jiang, Yanzhou Su, Wen Wang, Haiwei Bai, Haijun Liu, Jian Cheng
2021 B conf
Learning to Binarize Convolutional Neural Networks with Adaptive Neural Encoder.
IJCNN
Shuai Zhang, Fangyuan Ge, Rui Ding, Haijun Liu, Xichuan Zhou
2021 A* conf
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization.
AAAI
Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu
2021 J jnl
Parameter Sharing Exploration and Hetero-Center Triplet Loss for Visible-Thermal Person Re-Identification.
IEEE Trans. Multim.
Haijun Liu, Xiaoheng Tan, Xichuan Zhou
2021 J jnl
Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification.
IEEE Signal Process. Lett.
Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou
2020 J jnl
Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification.
Neurocomputing
Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su, Haiwei Bai
2020 J jnl
Multi-Scale Based Context-Aware Net for Action Detection.
IEEE Trans. Multim.
Haijun Liu, Shiguang Wang, Wen Wang, Jian Cheng
2020 J jnl
Neural Network Activation Quantization with Bitwise Information Bottlenecks.
CoRR
Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu
2020 J jnl
Parameters Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification.
CoRR
Haijun Liu, Xiaoheng Tan
2020 J jnl
Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification.
CoRR
Haijun Liu, Yanxia Chai, Xiaoheng Tan, Dong Li, Xichuan Zhou
2019 J jnl
Attention: A Big Surprise for Cross-Domain Person Re-Identification.
CoRR
Haijun Liu, Jian Cheng, Shiguang Wang, Wen Wang
2019 J jnl
Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification.
CoRR
Haijun Liu, Jian Cheng
2019 J jnl
Gallery based
Neurocomputing
Haijun Liu, Jian Cheng
2019 J jnl
The General Pair-based Weighting Loss for Deep Metric Learning.
CoRR
Haijun Liu, Jian Cheng, Wen Wang, Yanzhou Su
2018 — conf
Additive Margin Softmax for Face Verification.
ICLR (Workshop)
Feng Wang, Weiyang Liu, Hanjun Dai, Haijun Liu, Jian Cheng
2018 J jnl
Additive Margin Softmax for Face Verification.
CoRR
Feng Wang, Weiyang Liu, Haijun Liu, Jian Cheng
2018 J jnl
Additive Margin Softmax for Face Verification.
IEEE Signal Process. Lett.
Feng Wang, Jian Cheng, Weiyang Liu, Haijun Liu
2018 J jnl
PCN: Part and Context Information for Pedestrian Detection with CNNs.
CoRR
Shiguang Wang, Jian Cheng, Haijun Liu, Ming Tang
2018 J jnl
Pedestrian Detection via Body Part Semantic and Contextual Information With DNN.
IEEE Trans. Multim.
Shiguang Wang, Jian Cheng, Haijun Liu, Feng Wang, Hui Zhou
2018 J jnl
Sequential Subspace Clustering via Temporal Smoothness for Sequential Data Segmentation.
IEEE Trans. Image Process.
Haijun Liu, Jian Cheng, Feng Wang
2018 B conf
Temporal Action Detection by Joint Identification-Verification.
ICPR
Wen Wang, Yongjian Wu, Haijun Liu, Shiguang Wang, Jian Cheng
2018 J jnl
Temporal Action Detection by Joint Identification-Verification.
CoRR
Wen Wang, Yongjian Wu, Haijun Liu, Shiguang Wang, Jian Cheng
2018 J jnl
Visualizing deep neural network by alternately image blurring and deblurring.
Neural Networks
Feng Wang, Haijun Liu, Jian Cheng
2017 B conf
Kinship verification based on status-aware projection learning.
ICIP
Haijun Liu, Jian Cheng, Feng Wang
2017 B conf
Sequential Subspace Clustering via Temporal Smoothness.
FG
Haijun Liu, Jian Cheng, Feng Wang
2015 J jnl
Segmentation-Based PolSAR Image Classification Using Visual Features: RHLBP and Color Features.
Remote. Sens.
Jian Cheng, Yaqi Ji, Haijun Liu
2015 J jnl
Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning.
IEEE Trans. Image Process.
Jian Cheng, Haijun Liu, Feng Wang, Hongsheng Li, Ce Zhu
2014 J jnl
Silhouette analysis for human action recognition based on maximum spatio-temporal dissimilarity embedding.
Mach. Vis. Appl.
Jian Cheng, Haijun Liu, Hongsheng Li
2013 J jnl
High-resolution remote sensing image segmentation based on improved RIU-LBP and SRM.
EURASIP J. Wirel. Commun. Netw.
Jian Cheng, Lan Li, Bo Luo, Shuai Wang, Haijun Liu