Jin Zeng

Jin Zeng

Assistant Professor Tongji University

Publications and Patents


#: corresponding author, *: co-first author

Book Chapter

  1. Siheng Chen, Jin Zeng [link]
    Processing of volumetric video
    Immersive Video Technologies, Elsevier, September, 2022.

  2. Pang Jiahao, Jin Zeng [link]
    Graph Spectral Image Restoration
    Graph Spectral Image Processing, ISTE/Wiley, June, 2021.

Selected Journal Publications

  1. Jin Zeng, Qingpeng Zhu, Tongxuan Tian, Wenxiu Sun, Lin Zhang, Shengjie Zhao
    Deep unrolled weighted graph laplacian regularization for depth completion
    International Journal of Computer Vision, July, 2024. [paper]

  2. Zhikang Yuan, Jin Zeng#, Zixiang Wei, Lijun Jin, Shengjie Zhao, Xianhui Liu, Yingyao Zhang, Gangjie Zhou
    CLAHE-based low-light image enhancement for robust object detection in overhead power transmission system
    IEEE Trans. Power Delivery, April, 2023. [paper]

  3. Jin Zeng, Gene Cheung, Michael Ng, Jiahao Pang, Cheng Yang
    3D point cloud denoising using graph Laplacian regularization of a low dimensional manifold model
    IEEE Trans. Image Processing, December, 2019. [paper] [arkiv] [code]

  4. Jin Zeng, Gene Cheung, Antonio Ortega
    Bipartite approximation for graph wavelet signal decomposition
    IEEE Trans. Signal Processing, October, 2017. [paper]

  5. Jin Zeng, Lu Fang, Houqiang Li, Feng Wu
    Subpixel image quality assessment syncretizing local subpixel and global pixel features
    IEEE Trans. Image Processing, December, 2016. [paper]

  6. Jiahao Pang, Lu Fang, Jin Zeng, Yuanfang Guo, Ketan Tang
    Subpixel-based image scaling for grid-like subpixel arrangements: A generalized continuous-domain analysis model
    IEEE Trans. Image Processing, March, 2016. [paper]

Conference Publications

  1. Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng#, Yuxuan Liang#
    Graph Lottery Ticket Automated
    International Conf. on Learning Representations (ICLR), May, 2024. [paper]

  2. Zixuan Chen, Shengjie Zhao#, Jin Zeng#, Shilong Dong, Geyunqian Zu
    CASTNet: Convolution Augmented Graph Sampling Transformer Network for Traffic Flow Forecasting
    Int. Conf. on Computer Supported Cooperative Work in Design (CSCWD), May, 2024

  3. Geyunqian Zu, Shengjie Zhao#, Jin Zeng#, Shilong Dong, Zixuan Chen
    SEA-GNN: Sequence Extension Augmented Graph Neural Network for Sequential Recommendation
    IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), April, 2024. 

  4. Jin Zeng, Yang Liu, Gene Cheung, Wei Hu
    Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks
    IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), June, 2023. [paper] [arkiv]

  5. Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen, Yongtian Wang
    Deep surface normal estimation with hierarchical RGB-D fusion
    IEEE Conf.on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, May, 2019. [paper] [supp] [code]

  6. Jin Zeng*, Jiahao Pang*, Wenxiu Sun, Gene Cheung
    Deep graph Laplacian regularization for robust denoising of real images
    IEEE Conf. on Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, USA, May, 2019. [paper] [supp]

  7. Jin Zeng, Gene Cheung, Yung-Hsuan Chao, Ian Blanes, Joan Serra-Sagrista, Antonio Ortega
    Hyperspectral image coding using graph wavelets
    IEEE Int. Conf. on Image Processing (ICIP), Beijing, China, September, 2017. [paper]

  8. Jin Zeng, Gene Cheung, Antonio Ortega
    Bipartite Subgraph Decomposition for Critically Sampled Wavelet Filterbanks on Arbitrary Graphs
    IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March, 2016. [paper]

  9. Jin Zeng, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Ketan Tang, Yonggen Ling
    Analysis of Sampling Pattern and Luma-chroma Filter Design for Subpixel-based Image Downsampling
    IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May, 2014. [paper]

  10. Jin Zeng, Oscar C. Au, Wei Dai, Yue Kong, Luheng Jia, Wenjing Zhu
    A Tutorial on Image/Video Coding Standards
    APSIPA Annual Summit and Conference (ASC), Kaohsiung, Taiwan, November, 2013. [paper]

  11. Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang
    Towards geometry guided neural relighting with flash photography
    International Conf. on 3D Vision (3DV), 2020. [paper] [arkiv]

  12. Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo
    Deep surface normal estimation on the 2-sphere with condence guided semantic attention
    European Conf. on Computer Vision (ECCV), 2020. [paper]

  13. Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. Ren, Ruichao Xiao, Jin Zeng, Liang Lin
    Zoom and learn: Generalizing deep stereo matching to novel domains
    IEEE Conf. Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018. [paper] [code]

  14. Yonggen Ling, Oscar C. Au, Jiahao Pang, Jin Zeng, Yuan Yuan, Amin Zheng
    Image Colorization via Color Propagation and Rank Minimization
    IEEE Int. Conf. on Image Processing (ICIP), Quebec City, Canada, September, 2015. [paper]

  15. Jiahao Pang, Oscar C. Au, Yukihiko Yamashita, Yonggen Ling, Yuanfang Guo, Jin Zeng
    Self-Similarity-Based Image Colorization
    IEEE Int. Conf. on Image Processing (ICIP), Paris, France, October, 2014. [paper]

  16. Haiyan Yang, Oscar C. Au, Jin Zeng, Mengqi Ji, Yuan Yuan, Sunil Jaiswal
    A Comprehensive Study on Digital Image Matting
    IEEE China Summit and International Conference on Signal and Information Processing, Xi’an, China, July, 2014. [paper]

  17. Wenjing Zhu, Oscar C. Au, Wei Dai, Haitao Yang, Rui Ma, Luheng Jia, Jin Zeng, Pengfei Wan
    Palette-based compound image compression in HEVC by exploiting non-local spatial correlation
    IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May, 2014. [paper]

  18. Yonggen Ling, Oscar C. Au, Ketan Tang, Jiahao Pang, Jin Zeng, Lu Fang
    An Analytical Study of Subpixel-based Image Down-sampling Patterns in Frequency Domain
    IEEE Int. Conf. on Visual Communications and Image Processing (VCIP), Kuching, Sarawak, Malaysia, November, 2013. [paper]

Patents

Granted Patents

曾进; 黄云沐; 佟彦锋; 严琼; 孙文秀
图像处理方法及装置、电子设备和存储介质
2019101474489，中国，2021.06.18

韩丰夏; 邓浩; 王洁; 曾进
一种基于连续干扰消除的低复杂度分组解码方法和设备
2021116193964，中国，2022.12.16

严琼; 陈梓琪; 柯章翰; 任思捷; 曾进
图像处理方法及装置
2018112647010，中国，2022.03.15

庞家昊; 曾进; 孙文秀; 肖瑞超
图像恢复方法及装置、电子设备、计算机程序及存储介质
2018105419749，中国，2021.08.06

Pending Patents (Selected)

曾进;张晋声;韩丰夏;赵生捷
一种基于图谱域图结构学习的图卷积网络设计方法
202310324719X，中国，2023.08.25

曾进;贾敬伟;何昶勇;王剑辉;杨晨;赵生捷
一种基于图拉普拉斯正则化网络的ToF深度图像去噪方法
2023103737358，中国，2023.08.15

曾进; 孙文秀; 王鲁阳; 陈岩; 周奥军
图像去噪方法及装置、电子设备和存储介质
202110048425X，中国，2021.05.14

曾进; 孙文秀; 王鲁阳; 陈岩; 周奥军
图像去噪方法及装置、电子设备和存储介质
202110012713X，中国，2021.04.09

曾进; 孙文秀; 王鲁阳; 陈岩; 周奥军
图像去噪方法及装置、电子设备和存储介质
2020115814493，中国，2021.03.30