Chunze Lin 林纯泽
Research Scientist at SenseTime
linchunze[at]sensetime.com

Chunze Lin

I am currently a Researcher Scientist at SenseTime, ARFace group. If you are interested in intership or applied researcher/developer positions related to 3D face reconstruction, please contact me.

I received my M.Eng. degree from the Department of Automation at Tsinghua University in 2019, under the supervision of Professor Jiwen Lu. I also received my M.Eng. degree (diplôme d'ingénieur) from Ecole Centrale de Nantes, France in 2019 as a dual degree program. I got my B.S. degree in engineering from Ecole Centrale de Nantes, France in 2015.

My research interests are in computer vision, deep learning, pedestrian detection, 3D face reconstruction and face alignment.


News

Publications ( Google Scholar)

Chunze Lin*, Beier Zhu*, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu and Jie Zhou
Structure-Coherent Deep Feature Learning for Robust Face Alignment
IEEE Transactions on Image Processing (TIP), accepted in 2021
* means equal contribution
[Paper] [Code]
Chunze Lin, Jiwen Lu, Gang Wang and Jie Zhou
Graininess-aware Deep Feature Learning for Robust Pedestrian Detection
IEEE Transactions on Image Processing (TIP), vol. 29, pp. 3820-3834, 2020
[Paper]
Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu and Jie Zhou
Self-critical Attention Learning for Person Re-Identification
IEEE International Conference on Computer Vision (ICCV), pp. 9637-9646, 2019
[Paper]

Chunze Lin, Jiwen Lu, Gang Wang and Jie Zhou
Graininess-aware Deep Feature Learning for Pedestrian Detection
European Conference on Computer Vision (ECCV), pp. 732-747, 2018
[Paper][Poster][Code]
Chunze Lin, Jiwen Lu, and Jie Zhou
Multi-grained Deep Feature Learning for Robust Pedestrian Detection
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 29, no. 12, pp. 3608-3621, 2019
[Paper]
Chunze Lin, Jiwen Lu, and Jie Zhou
Multi-grained Deep Feature Learning for Pedestrian Detection
IEEE International Conference on Multimedia and Expo (ICME), 2018, (oral)
[Paper][Slides]
Chunze Lin, Ruixiang Tang, Darryl D Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, and Jie Zhou
Deep Feature Disentanglement Learning for Bone Suppression in Chest Radiographs
IEEE International Symposium on Biomedical Imaging (ISBI), 2020
Chunze Lin, Ruixiang Tang, Darryl D Lin, Langechuan Liu, Jiwen Lu, Yunqiang Chen, Dashan Gao, and Jie Zhou
Breast Mass Detection in Mammograms via Blending Adversarial Learning
MICCAI workshop on Simulation and Synthesis in Medical Imaging (SASHIMI), 2019, (oral)
[Paper]

Selected Honors

  • 2019.07   Outstanding graduate of Department of Automation, Tsinghua University
  • 2019.07   Outstanding Master's thesis of Tsinghua University
  • 2016~2019   Chinese Government Scholarships (Top 10%)
  • 2015   ECN Scholarship (Top 5%)
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