曾进 - 同济大学 - 软件学院

个人简介

曾进，现任同济大学软件学院预聘助理教授。2012年于南京大学获学士学位，2018年于香港科技大学获博士学位，导师为Prof. Khaled B. Letaief (Member of US National Academy of Engineering, IEEE Fellow) 和 Prof. Gene Cheung (IEEE Fellow)。博士期间曾在日本国立情报学研究所访问两年。博士毕业后在商汤科技智能影像组工作，任高级研究员。2021年9月加入同济大学。主要研究方向为3D视觉，图像处理，图信号处理，共发表18篇国际顶级期刊与会议论文，包括IEEE T-IP，IEEE T-SP，CVPR，ECCV，3DV等。教育背景 2012.9 - 2018.1, The Hong Kong University of Science and Technology, Ph.D. in Electronic and Computer Engineering 2008.9 - 2012.6, Nanjing University, B.Sc in Electronic and Information Science 工作经历 2021.9 - now, Tongji University, Assistant Professor 2020.4 - 2021.9, SenseTime Research (Shenzhen), Senior Researcher 2018.2 - 2020.3, SenseTime Research (Hong Kong), Researcher

研究领域

3D Computer Vision: Time-of-Flight (ToF) depth sensor, point cloud denoising, scene understanding, 3D-based portrait relighting Image Processing: image restoration, quality assessment, hyper-spectral imaging Graph signal processing: graph neural network, graph wavelet transform, graph-based signal compression

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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