Lijun Zhao

53 papers A 2B 5C 1Journal 37Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey on image compressive sensing: From classical theory to the latest explicable deep learning.
Pattern Recognit.
Lijun Zhao, Yufeng Zhang, Xinlu Wang, Jinjing Zhang, Huihui Bai, Anhong Wang
2026 J jnl
Learning a joint mutual-guidance enhancement network for degraded low-light color image and low-resolution depth map.
Eng. Appl. Artif. Intell.
Bintao Chen, Lijun Zhao, Jinjing Zhang, Anhong Wang, Huihui Bai
2026 J jnl
Visual Intelligence-Guided RFID Multitag Spatial Position Measurement and Reading Performance Optimization.
IEEE Internet Things J.
Lin Li, Feng Hu, Xiaolei Yu, Lijun Zhao, Qinxiong Lu, Anhong Wang, Lei Cheng, Junji Li, Xiao Zhuang, Di Zhou, Tianju Yang
2025 J jnl
Boosting 3D Object Detection With Semantic-Aware Multi-Branch Framework.
IEEE Trans. Circuits Syst. Video Technol.
Hao Jing, Anhong Wang, Lijun Zhao, Yakun Yang, Donghan Bu, Jing Zhang, Yifan Zhang, Junhui Hou
2025 J jnl
DMRO-Fusion: Infrared and Visible Image Fusion Based on Recurrent-Octave Auto-Encoder via Two-Level Modulation.
IEEE Trans. Instrum. Meas.
Jinjing Zhang, Pinle Qin, Jianchao Zeng, Lijun Zhao
2025 B conf
Deep Gradient-Guided and Gradient-Reinforced Network for Multi-Modal Brain Tumor Segmentation.
IEEE Big Data
Jinjing Zhang, Pinle Qin, Jianchao Zeng, Lijun Zhao, Xiaoyu Feng
2025 — conf
Dual-Edge Consistency Constrained Unfolding Network for Depth Map Super-Resolution.
ICIG (1)
Hao Ren, Lijun Zhao, Jinjing Zhang, Huihui Bai, Anhong Wang
2025 J jnl
Joint Deep-Unfolding Optimization Learning for Depth Map Arbitrary-Scale Super-Resolution.
IEEE Trans. Multim.
Jialong Zhang, Lijun Zhao, Jinjing Zhang, Anhong Wang, Huihui Bai
2025 — conf
Learning A Decomposition-Driven Two Stages Unfolding Artifact Removal Network for Compressed Images.
ICIG (1)
Lijun Zhao, Jie Zhao, Jinjing Zhang, Hao Ren, Yong Zeng, Anhong Wang
2025 — conf
OME-Net: Optimization-Inspired Multi-domain Enhanced Network for Image Compressed Sensing Reconstruction.
ICIG (1)
Ying Ma, Lijun Zhao
2025 B conf
Semantic Dual-Decomposition Unfolding Network for Multi-Modality Medical Image Segmentation.
IEEE Big Data
Jinjing Zhang, Pinle Qin, Jianchao Zeng, Lijun Zhao, Xiaoyu Feng
2024 J jnl
A Wavelet-Domain Consistency-Constrained Compressive Sensing Framework Based on Memory-Boosted Guidance Filtering.
IEEE Trans. Instrum. Meas.
Xinlu Wang, Lijun Zhao, Jinjing Zhang, Anhong Wang, Huihui Bai
2024 J jnl
Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework.
CoRR
Hao Jing, Anhong Wang, Lijun Zhao, Yakun Yang, Donghan Bu, Jing Zhang, Yifan Zhang, Junhui Hou
2024 J jnl
Joint Discontinuity-Aware Depth Map Super-Resolution via Dual-Tasks Driven Unfolding Network.
IEEE Trans. Instrum. Meas.
Lijun Zhao, Jialong Zhang, Jinjing Zhang, Huihui Bai, Anhong Wang
2024 J jnl
RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network.
IEEE Trans. Computational Imaging
Lijun Zhao, Bintao Chen, Jinjing Zhang, Anhong Wang, Huihui Bai
2023 B conf
A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement.
ICIP
Lijun Zhao, Ke Wang, Jinjing Zhang, Jie Zhao, Anhong Wang
2023 J jnl
Boundary-constrained interpretable image reconstruction network for deep compressive sensing.
Knowl. Based Syst.
Lijun Zhao, Xinlu Wang, Jinjing Zhang, Anhong Wang, Huihui Bai
2023 J jnl
Color-Image Guided Depth Map Super-Resolution Based on Iterative Depth Feature Enhancement.
KSII Trans. Internet Inf. Syst.
Lijun Zhao, Ke Wang, Jinjing Zhang, Jialong Zhang, Anhong Wang
2023 — conf
Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution.
PRCV (10)
Jialong Zhang, Lijun Zhao, Jinjing Zhang, Bintao Chen, Anhong Wang
2023 — conf
Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction.
ICIG (3)
Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang
2023 A conf
Explainable Unfolding Network For Joint Edge-Preserving Depth Map Super-Resolution.
ICME
Jialong Zhang, Lijun Zhao, Jinjing Zhang, Ke Wang, Anhong Wang
2023 J jnl
Joint depth map super-resolution method via deep hybrid-cross guidance filter.
Pattern Recognit.
Ke Wang, Lijun Zhao, Jinjing Zhang, Jialong Zhang, Anhong Wang, Huihui Bai
2023 J jnl
Learning deep texture-structure decomposition for low-light image restoration and enhancement.
Neurocomputing
Lijun Zhao, Ke Wang, Jinjing Zhang, Anhong Wang, Huihui Bai
2023 — conf
WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction.
PRCV (6)
Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang
2022 — conf
D
MIPR
Congying Cao, Lijun Zhao, Jinjing Zhang, Xinlu Wang, Anhong Wang
2022 J jnl
Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss.
Expert Syst. Appl.
Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin, Yanbo Wang, Xiaoqing Yu
2022 J jnl
LMDC: Learning a multiple description codec for deep learning-based image compression.
Multim. Tools Appl.
Lijun Zhao, Jinjing Zhang, Huihui Bai, Anhong Wang, Yao Zhao
2022 — conf
SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron.
MIUA
Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin
2021 J jnl
Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets.
Neurocomputing
Jinjing Zhang, Jianchao Zeng, Pinle Qin, Lijun Zhao
2021 J jnl
MRANet: Multi-atrous residual attention Network for stereo image super-resolution.
J. Vis. Commun. Image Represent.
Luyao Ning, Anhong Wang, Lijun Zhao, Weimin Xue, Donghan Bu
2020 J jnl
Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation.
CoRR
Lijun Zhao, Jinjing Zhang, Fan Zhang, Anhong Wang, Huihui Bai, Yao Zhao
2020 J jnl
Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning.
CoRR
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2020 J jnl
HDA Video Transmission Scheme for DASH.
IEEE Access
Tao Wen, Wenxia Cai, Anhong Wang, Jie Liang, Lijun Zhao
2019 B conf
Deep Multiple Description Coding by Learning Scalar Quantization.
DCC
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2019 J jnl
Iterative range-domain weighted filter for structural preserving image smoothing and de-noising.
Multim. Tools Appl.
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2019 J jnl
Learning a virtual codec based on deep convolutional neural network to compress image.
J. Vis. Commun. Image Represent.
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2019 J jnl
Local activity-driven structural-preserving filtering for noise removal and image smoothing.
Signal Process.
Lijun Zhao, Huihui Bai, Jie Liang, Anhong Wang, Bing Zeng, Yao Zhao
2019 J jnl
Multiple Description Convolutional Neural Networks for Image Compression.
IEEE Trans. Circuits Syst. Video Technol.
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2019 J jnl
Simultaneous color-depth super-resolution with conditional generative adversarial networks.
Pattern Recognit.
Lijun Zhao, Huihui Bai, Jie Liang, Bing Zeng, Anhong Wang, Yao Zhao
2018 J jnl
Cascaded reconstruction network for compressive image sensing.
EURASIP J. Image Video Process.
Yahan Wang, Huihui Bai, Lijun Zhao, Yao Zhao
2018 J jnl
Deep Multiple Description Coding by Learning Scalar Quantization.
CoRR
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2018 J jnl
Dual-Streams Edge Driven Encoder-Decoder Network for Image Super-Resolution.
IEEE Access
Feng Li, Huihui Bai, Lijun Zhao, Yao Zhao
2018 J jnl
Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks.
CoRR
Lijun Zhao, Huihui Bai, Feng Li, Anhong Wang, Yao Zhao
2018 J jnl
Multiple Description Convolutional Neural Networks for Image Compression.
CoRR
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2018 J jnl
Virtual Codec Supervised Re-Sampling Network for Image Compression.
CoRR
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2017 B conf
Convolutional neural network-based depth image artifact removal.
ICIP
Lijun Zhao, Jie Liang, Huihui Bai, Anhong Wang, Yao Zhao
2017 J jnl
Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image.
CoRR
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2017 J jnl
Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing.
CoRR
Lijun Zhao, Jie Liang, Huihui Bai, Lili Meng, Anhong Wang, Yao Zhao
2017 J jnl
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network.
CoRR
Lijun Zhao, Jie Liang, Huihui Bai, Anhong Wang, Yao Zhao
2017 A conf
Single depth image super-resolution with multiple residual dictionary learning and refinement.
ICME
Lijun Zhao, Huihui Bai, Jie Liang, Anhong Wang, Yao Zhao
2017 J jnl
Two-stage filtering of compressed depth images with Markov Random Field.
Signal Process. Image Commun.
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao, Bing Zeng
2016 C conf
Joint iterative guidance filtering for compressed depth images.
VCIP
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
2015 J jnl
Scalable Coding of Depth Images with Synthesis-Guided Edge Detection.
KSII Trans. Internet Inf. Syst.
Lijun Zhao, Anhong Wang, Bing Zeng, Jian Jin