Welcome to visit Huanjing Yue's HomePage

Huanjing Yue (岳焕景)

Associate Professor

School of Electrical and Information Engineering

Tianjin University (天津大学)

Address: Building 26, Tianjin University, No. 92, Weijin Rd.,

Nankai District, Tianjin, China, 300072

Biography

I got my Ph. D. degree in School of Electronic Information Engineering at Tianjin University in 2015. I was jointly supervised by Prof. Feng Wu (USTC), Prof. Xiaoyan Sun (USTC), and Prof. Jingyu Yang (Tianjin University). Before that, I received my B.E. degree in Electronic Information Engineering from Tianjin University in 2010. My PhD research focused on cloud-based image processing. Different from traditional methods, my PhD thesis explores utilizing externally correlated images to improve coding efficiency and image restoration quality. I am currently working on intelligent imaging and low (mid)-level vision tasks, such as raw image (video) processing, light field imaging, reference-based image processing, segmentation, etc.

Work Experience

  • Associate Professor, School of Electrical and Information Engineering, Tianjin University 2018.7 - present

  • Assistant Professor, School of Electrical and Information Engineering, Tianjin University 2015.7 - 2018.6

  • Research Intern, Microsoft Research Asia, Beijing, China 2011.8 - 2012.8 & 2013.7 - 2015.4

  • Visiting Scholar, University of California San Diego (UCSD), San Diego, US 2016.8 - 2017.8

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Publications

2022

  1. Huanjing Yue, Zhiming Zhang, and Jingyu Yang, Real-RawVSR: Real-world raw video super-resolution with a benchmark dataset, European Conference on Computer Vision (ECCV), 608–624, 2022. <Code>

  2. Huanjing Yue, Wenxin Duo, Xiulian Peng, Jingyu Yang. Reference-based speech enhancement via feature alignment and fusion network, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 36(10): 11648-11656, 2022.

  3. Huanjing Yue, Yijia Cheng, Yan Mao, Cong Cao, Jingyu Yang, Recaptured screen image demoireing in raw domain, IEEE Transactions on Multimedia (TMM), 2022. <Code>

  4. Jingyu Yang, Xiangjun Yin, Mengxi Zhang, Huihui Yue, Xingyu Cui, Huanjing Yue*, Learning image formation and regularization in unrolling amp for lensless image reconstruction, IEEE Transactions on Computational Imaging (TCI), vol. 8, page 479-489, 2022.

  5. Gaosheng Liu, Huanjing Yue, Jiamin Wu, Jingyu Yang, Efficient light field angular super-resolution with sub-aperture feature learning and macro-pixel upsampling, IEEE Transactions on Multimedia (TMM), 2022. <Code>

  6. Cong Cao, Tianwei Lin, Dongliang He, Fu Li, Huanjing Yue*, Jingyu Yang, Errui Ding, Adversarial dual-student with differentiable spatial warping for semi-supervised semantic segmentation, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. <Code>

2021

  1. Jingyu Yang, Sheng Shen, Huanjing Yue*, and Kun Li, Implicit Transformer Network for Screen Content Image Continuous Super-Resolution, Advances in Neural Information Processing Systems (NeurIPS), 2021. <Code>

  2. Huanjing Yue, Yijia Cheng, Fanglong Liu, and Jingyu Yang, Unsupervised moiré pattern removal for recaptured screen images, Neurocomputing 456, 352-363, 2021. <Code>

  3. Gaosheng Liu, Huanjing Yue, Jiamin Wu, Jingyu Yang, Intra-inter view interaction network for light field image super-resolution, IEEE Transactions on Multimedia (TMM), 2021. <Code>

  4. Huanjing Yue, Tong Zhou, Zhongyu Jiang, Jingyu Yang, Chunping Hou, Reference guided image super-resolution via efficient dense warping and adaptive fusion, Signal Processing: Image Communication, 2021, 92(116062):1-12.

  5. Huanjing Yue, Zhongyu Jiang, Shengdi Zhou, Jingyu Yang, Yonghong Hou, and Chuping Hou, Deep noise estimation and removal for real-world noisy images, Signal Processing: Image Communication 94, 116231, 2021.

  6. Zhongyu Jiang, Huanjing Yue*, Yukun Lai, JingyuYang, Yonghong Hou, Chunping Hou, Deep edge map guided depth super resolution, Signal Processing: Image Communication 90, 116040, 2021.

  7. X Song, S Zhao, J Yang, H Yue, P Xu, R Hu, H Chai, Spatio-temporal contrastive domain adaptation for action recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  8. Jianhua Guo, Jingyu Yang, Huanjing Yue, Kun Li, Unsupervised domain adaptation for cloud detection based on grouped features alignment and entropy minimization, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 1-13,2021.

  9. Jianhua Guo, Jingyu Yang, Huanjing Yue, Xin Liu, Kun Li, Unsupervised domain-invariant feature learning for cloud detection of remote sensing images, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 1-15, 2021.

2020

  1. Huanjing Yue, Cong Cao, Lei Liao, Ronghe Chu, Jingyu Yang. Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. <Code>

  2. Jianhua Guo, Jingyu Yang, Huanjing Yue, Hai Tan, Chunping Hou, Kun Li, CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery With Cloud-Snow Coexistence, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020. <Code>

  3. Jingyu Yang, Ji Xu, Kun Li, Yukun Lai, Huanjing Yue, Jianzhi Lu, Hao Wu, Yebin Liu, Learning to reconstruct and understand indoor scenes from sparse views, IEEE Transactions on Image Processing (TIP), 2020.

  4. Huanjing Yue, Yan Mao, Lipu Liang, Hongteng Xu, Chunping Hou, Jingyu Yang, Recaptured Screen Image Demoireing, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020. <Code> <pdf>

  5. Huanjing Yue, Sheng Shen, Jingyu Yang, Haofeng Hu, Yanfang Chen, Reference Image Guided Super-Resolution via Progressive Channel Attention Networks, Journal of Computer Science and Technology, 2020.

  6. Jingyu Yang, Wen Shi, Huanjing Yue, Kun Li, Jian Ma, Chunping Hou, Spatiotemporally scalable matrix recovery for background modeling and moving object detection, Signal Processing, vol. 168, 2020, article 107362.

2019

  1. Huanjing Yue, Jianjun Liu, Jingyu Yang, Xianyan Sun, Truong Nguyen, Feng Wu，IENet: Internal and External Patch Matching ConvNet for Web Image Guided Denoising，IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019. <pdf>

  2. Huanjing Yue, Jianjun Liu, Jingyu Yang, Truong Nguyen, and Feng Wu, "High ISO JPEG image denoising by deep fusion of collaborative and convolutional filtering ", IEEE Transactions on Image Processing (TIP), 2019. [Dataset(Key:5x4j)]

  3. Jingyu Yang, Jianhua Guo, Huanjing Yue, Zhiheng Liu, Haofeng Hu, and Kun Li, "CDnet: CNN-based cloud detection for remote sensing imagery", IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019. <Code>

  4. Shichao Li, Yonghong Hou, Huanjing Yue*, and Zihui Guo, "Single image de-raining via generative adversarial nets", IEEE International Conference on Multimedia & Expo (ICME), 2019.

2018

  1. Huanjing Yue, Shengdi Zhou, Jingyu Yang, Xiaoyan Sun, and Chunping Hou, "Deep joint noise estimation and removal for high ISO JPEG images", International Conference on Pattern Recognition (ICPR), Beijing, China, 2018.

  2. Yue Jiao, Jingyu Yang, Huanjing Yue*, Kun Li, and Chunping Hou, "Image alignment via multi-model geometric fitting and hierarchical homography estimation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Alberta, Canada, 2018.

  3. Zhongyu Jiang, Yonghong Hou, Huanjing Yue*, Jingyu Yang, and Chunping Hou. "Depth map super-resolution from RGB-D pairs with transform and spatial domain regularization", IEEE Transactions on Image Processing (TIP), 27(5), pp. 2587-2602, 2018.

  4. Jingyu Yang, Xue Zhang, Huanjing Yue*, Changrui Cai, and Chunping Hou, "IBM3D: Integer BM3D for Efficient Image Denoising", Circuits, Systems, and Signal Processing, pp. 1-14, 2018.

  5. Huanjing Yue, Daoxiang Huang, Xiaolin Song, Jingyu Yang, and Lili Shen, "Body Segmentation Algorithm Based on Graph Model and Skeleton Information", Journal of Tianjin University, 51(8), pp. 837-843, 2018.

2017

  1. Jingyu Yang, Xinyan Wang, Huanjing Yue*, Xiaomei Fu, and Chunping Hou, "Underwater image enhancement based on structure-texture decomposition", IEEE International Conference on Image Processing (ICIP), China, 2017.

  2. Huanjing Yue, Jianjun Liu, Jingyu Yang, Truong Nguyen, and Chunping Hou, "Image noise estimation and removal considering the Bayer pattern of noise variance", IEEE International Conference on Image Processing (ICIP), China, 2017. <pdf>

  3. Huanjing Yue, Jingyu Yang, Xiaoyan Sun, Feng Wu, and Chunping Hou, "Contrast enhancement based on intrinsic image decomposition", IEEE Transactions on Image Processing (TIP), 2017. <pdf> <results>

  4. Jingyu Yang, Fanglei Liu, Huanjing Yue*, Xiaomei Fu, Chunping Hou, and Feng Wu, "Textured image demoiring via signal decomposition and guided filtering", IEEE Transactions on Image Processing (TIP), 2017. <pdf>

  5. Jianjun Lei, Lele Li, Huanjing Yue*, Feng Wu, Nam Ling, and Chunping Hou, "Depth map super-resolution considering view synthesis quality",IEEE Transactions on Image Processing (TIP), 2017. <pdf>

Before 2016

  1. Jiaoru Yang, Jingyu Yang, Xuemeng Yang, and Huanjing Yue,“Background recovery from video sequences via online motion-assisted RPCA”, IEEE Conference on Visual Communications and Image Processing (VCIP), 2016. <pdf>

  2. Fanglei Liu, Jingyu Yang, and Huanjing Yue*, "Moire pattern removal from texture images via low-rank and sparse matrix decomposition",IEEE Conference on Visual Communications and Image Processing (VCIP), 2015. <pdf>

  3. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, "Image denoising by exploring external and internal correlations", IEEE Transactions on Image Processing (TIP), vol. 24, pp. 1967-1982, 2015. <pdf>

  4. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, “CID: combined image denoising in spatial and frequency domains using web images”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. <pdf>

  5. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, “Landmark image super-resolution by retrieving web images”, IEEE Transactions on Image Processing (TIP), vol. 22, pp. 4865-4878, 2013.<pdf>

  6. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu. Cloud-based image coding for mobile devices-toward thousands to one compression. IEEE Transactions on Multimedia (TMM), vol.15, pp. 845-857, 2013. <pdf>

  7. Huanjing Yue, Jingyu Yang, Xiaoyan Sun, and Feng Wu, “SIFT-based image super-resolution”, International Symposium on Circuits and Systems (ISCAS), China, pp. 2896-2899, 2013.<pdf>

  8. Huanjing Yue, Xiaoyan Sun, Jingyu Yang, and Feng Wu, “Image denoising using cloud images”, SPIE Applications of Digital Image Processing, America, 2013.<pdf>

  9. Huanjing Yue, Xiaoyan Sun, Feng Wu, and Jingyu Yang, “SIFT-based image compression”, IEEE International Conference on Multimedia & Expo (ICME), Australia, pp. 473-478, 2012.<pdf>

  10. Lican Dai, Huanjing Yue, Xiaoyan Sun, Feng Wu, “IMShare: instantly sharing your mobile landmark images by search-based reconstruction,” ACM Multimedia (ACM MM), Japan, pp. 579-588 , 2012.<pdf>

Awards

    • Elite Scholar Program of Tianjin University, 2017

    • First-class technological invention award by Tianjin Municipal Government, 2016 (Ranked 9)

    • Microsoft Research Asia Fellowship, 2013 (10 awardees in Asia)

    • National Scholarship, 2008, 2013