Email: zengjin@tongji.edu.cn
Website: https://jzengust.github.io/
Office: 济事楼408R
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。
研究方向
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
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
代表作
期刊论文
1. 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 (JCR Q1), 2020.
2. Jin Zeng, Gene Cheung, Antonio Ortega, "Bipartite approximation for graph wavelet signal decomposition", IEEE Trans. Signal Processing (JCR Q1), 2017.
3. Jin Zeng, Lu Fang, Houqiang Li, Feng Wu, "Subpixel image quality assessment syncretizing local subpixel and global pixel features," IEEE Trans. Image Processing (JCR Q1), 2016.
4. 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 (JCR Q1), 2016.
会议论文
1. 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), CCF-A, 2019.
2. 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), 2019.
3. 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), CCF-C, 2017.
4. 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), CCF-B, 2016.
5. 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), CCF-B, 2014.
6. 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), 2013.
7. Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang. “Towards geometry guided neural relighting with ash photography", in International Conf. on 3D Vision (3DV), CCF-C, 2020.
8. Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo. “Deep surface normal estimation on the 2-sphere with confidence guided semantic attention", in European Conf. on Computer Vision (ECCV), CCF-B, 2020.
9. 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," in IEEE Conf. Computer Vision and Pattern Recognition (CVPR), CCF-A, 2018.
