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ORCIDLijun Zhao 0002
Person information
- affiliation: Taiyuan University of Science and Technology, Institute of Digital Media and Communication, China
- affiliation: Beijing Jiaotong University, Institute of Information Science, China
Other persons with the same name
- Lijun Zhao (aka: Li-jun Zhao, Li-Jun Zhao) — disambiguation page
- Lijun Zhao 0001
![[0000-0002-7140-8105]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7140-8105")
(aka: Li-jun Zhao 0001, Li-Jun Zhao 0001) — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China - Lijun Zhao 0003 — Harbin Institute of Technology, Harbin, China
- Lijun Zhao 0004 — Army Special Operations College, China
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2020 – today
- 2023
[j17]Lijun Zhao, Ke Wang, Jinjing Zhang, Anhong Wang, Huihui Bai:
Learning deep texture-structure decomposition for low-light image restoration and enhancement. Neurocomputing 524: 126-141 (2023)- [j16]Lijun Zhao, Xinlu Wang, Jinjing Zhang, Anhong Wang, Huihui Bai:
Boundary-constrained interpretable image reconstruction network for deep compressive sensing. Knowl. Based Syst. 275: 110681 (2023) - [j15]Ke Wang, Lijun Zhao, Jinjing Zhang, Jialong Zhang, Anhong Wang, Huihui Bai:
Joint depth map super-resolution method via deep hybrid-cross guidance filter. Pattern Recognit. 136: 109260 (2023) - [c11]Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang:
Edge-Guided Interpretable Neural Network for Image Compressive Sensing Reconstruction. ICIG (3) 2023: 287-298 - [c10]Lijun Zhao, Ke Wang, Jinjing Zhang, Jie Zhao, Anhong Wang:
A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement. ICIP 2023: 625-629 - [c9]Jialong Zhang, Lijun Zhao, Jinjing Zhang, Ke Wang, Anhong Wang:
Explainable Unfolding Network For Joint Edge-Preserving Depth Map Super-Resolution. ICME 2023: 888-893 - [c8]Xinlu Wang, Lijun Zhao, Jinjing Zhang, Yufeng Zhang, Anhong Wang:
WDU-Net: Wavelet-Guided Deep Unfolding Network for Image Compressed Sensing Reconstruction. PRCV (6) 2023: 79-91 - [c7]Jialong Zhang, Lijun Zhao, Jinjing Zhang, Bintao Chen, Anhong Wang:
Deep Arbitrary-Scale Unfolding Network for Color-Guided Depth Map Super-Resolution. PRCV (10) 2023: 225-236 - 2022
- [j14]Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin, Yanbo Wang, Xiaoqing Yu:
Deep MRI glioma segmentation via multiple guidances and hybrid enhanced-gradient cross-entropy loss. Expert Syst. Appl. 196: 116608 (2022) - [j13]Lijun Zhao, Jinjing Zhang, Huihui Bai, Anhong Wang, Yao Zhao:
LMDC: Learning a multiple description codec for deep learning-based image compression. Multim. Tools Appl. 81(10): 13889-13910 (2022) - [c6]Congying Cao, Lijun Zhao, Jinjing Zhang, Xinlu Wang, Anhong Wang:
D2-UTransforIner: Deep Modulated Dual-UTransformer for Multiple Description Image Enhancement. MIPR 2022: 146-151 - [c5]Jinjing Zhang, Lijun Zhao, Jianchao Zeng, Pinle Qin:
SF-SegFormer: Stepped-Fusion Segmentation Transformer for Brain Tissue Image via Inter-Group Correlation and Enhanced Multi-layer Perceptron. MIUA 2022: 508-518 - 2021
- [j12]Jinjing Zhang, Jianchao Zeng, Pinle Qin, Lijun Zhao:
Brain tumor segmentation of multi-modality MR images via triple intersecting U-Nets. Neurocomputing 421: 195-209 (2021) - [j11]Luyao Ning, Anhong Wang, Lijun Zhao, Weimin Xue, Donghan Bu:
MRANet: Multi-atrous residual attention Network for stereo image super-resolution. J. Vis. Commun. Image Represent. 77: 103115 (2021) - 2020
- [j10]Tao Wen, Wenxia Cai, Anhong Wang, Jie Liang, Lijun Zhao:
HDA Video Transmission Scheme for DASH. IEEE Access 8: 58345-58356 (2020) - [i9]Lijun Zhao, Jinjing Zhang, Fan Zhang, Anhong Wang, Huihui Bai, Yao Zhao:
Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation. CoRR abs/2001.03847 (2020) - [i8]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning. CoRR abs/2001.03851 (2020)
2010 – 2019
- 2019
- [j9]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Learning a virtual codec based on deep convolutional neural network to compress image. J. Vis. Commun. Image Represent. 63 (2019) - [j8]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Iterative range-domain weighted filter for structural preserving image smoothing and de-noising. Multim. Tools Appl. 78(1): 47-74 (2019) - [j7]Lijun Zhao, Huihui Bai, Jie Liang, Bing Zeng, Anhong Wang, Yao Zhao:
Simultaneous color-depth super-resolution with conditional generative adversarial networks. Pattern Recognit. 88: 356-369 (2019) - [j6]Lijun Zhao, Huihui Bai, Jie Liang, Anhong Wang, Bing Zeng, Yao Zhao:
Local activity-driven structural-preserving filtering for noise removal and image smoothing. Signal Process. 157: 62-72 (2019) - [j5]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Multiple Description Convolutional Neural Networks for Image Compression. IEEE Trans. Circuits Syst. Video Technol. 29(8): 2494-2508 (2019) - [c4]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Deep Multiple Description Coding by Learning Scalar Quantization. DCC 2019: 615 - 2018
- [j4]Feng Li, Huihui Bai, Lijun Zhao, Yao Zhao:
Dual-Streams Edge Driven Encoder-Decoder Network for Image Super-Resolution. IEEE Access 6: 33421-33431 (2018) - [j3]Yahan Wang, Huihui Bai, Lijun Zhao, Yao Zhao:
Cascaded reconstruction network for compressive image sensing. EURASIP J. Image Video Process. 2018: 77 (2018) - [i7]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Multiple Description Convolutional Neural Networks for Image Compression. CoRR abs/1801.06611 (2018) - [i6]Lijun Zhao, Huihui Bai, Feng Li, Anhong Wang, Yao Zhao:
Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks. CoRR abs/1802.01447 (2018) - [i5]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Virtual Codec Supervised Re-Sampling Network for Image Compression. CoRR abs/1806.08514 (2018) - [i4]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Deep Multiple Description Coding by Learning Scalar Quantization. CoRR abs/1811.01504 (2018) - 2017
- [j2]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao, Bing Zeng:
Two-stage filtering of compressed depth images with Markov Random Field. Signal Process. Image Commun. 54: 11-22 (2017) - [c3]Lijun Zhao, Jie Liang, Huihui Bai, Anhong Wang, Yao Zhao:
Convolutional neural network-based depth image artifact removal. ICIP 2017: 2438-2442 - [c2]Lijun Zhao, Huihui Bai, Jie Liang, Anhong Wang, Yao Zhao:
Single depth image super-resolution with multiple residual dictionary learning and refinement. ICME 2017: 739-744 - [i3]Lijun Zhao, Jie Liang, Huihui Bai, Lili Meng, Anhong Wang, Yao Zhao:
Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing. CoRR abs/1707.02637 (2017) - [i2]Lijun Zhao, Jie Liang, Huihui Bai, Anhong Wang, Yao Zhao:
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network. CoRR abs/1708.09105 (2017) - [i1]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Learning a Virtual Codec Based on Deep Convolutional Neural Network to Compress Image. CoRR abs/1712.05969 (2017) - 2016
- [c1]Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao:
Joint iterative guidance filtering for compressed depth images. VCIP 2016: 1-4 - 2015
- [j1]Lijun Zhao, Anhong Wang, Bing Zeng, Jian Jin:
Scalable Coding of Depth Images with Synthesis-Guided Edge Detection. KSII Trans. Internet Inf. Syst. 9(10): 4108-4125 (2015)
Coauthor Index
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