Assistant Professor in Harbin Institute of Technology, Shenzhen, China
Wenjie Pei is an Assistant Professor with the Harbin Institute of Technology, Shenzhen, China.
He got his Ph.D. at Pattern Recognition and Computer Vision Lab, Delft University of Technology and worked with Prof. David Tax (TU Delft) and Dr. Laurens van der Maaten (Facebook AI Research). Before joining Harbin Institute of Technology, he was a Senior Researcher on Computer Vision at Tencent Youtu X-Lab. In 2016, he was a visiting scholar with the Carnegie Mellon University (CMU). His research
interests lie in Computer Vision and Pattern Recognition including sequence modeling, deep learning, video/image captioning, image synthesis, etc.
Collaborations: I am always looking for highly self-motivated students, including undergraduate, graduate and PhD students, for research collaborations on Computer Vision and Machine Learning. Feel free to contact me with your CV.
03/2022, one paper was accepted by CVPR.
02/2022, one paper was accepted by ACL.
12/2021, one paper (on speech separation) was accepted by TASLP.
07/2021, two papers were accepted by ICCV.
04/2021, one paper (on image background restoration, including reflection/raindrop/haze removal) was accepted by TIP.
04/2021, one paper (on visual tracking) was accepted by TMM.
10/2020, one paper (on person Re-ID) was accepted by TIP.
07/2020, one paper is accepted by ACM MM, 2020.
07/2020, two papers are accepted by ECCV (one spotlight), 2020.
01/2020, I joined Harbin Institute of Technology, Shenzhen.
10/2019, one paper (on age estimation) was accepted by TIP.
07/2019, two papers were accepted by ICCV (one oral), 2019.
07/2019, one paper was accepted by BMVC (oral), 2019.
03/2019, one paper was accepted by CVPR, 2019.
07/2018, I joined Tencent Youtu X-Lab.
06/2018, I successfully defended my Ph.D. Thesis and became Dr.!
08/2017, one full paper was accepted by CIKM, 2017.
07/2017, I participated in Doctoral Consortium in CVPR 2017, mentored by Dr. Kaiming He.
03/2017, one paper was accepted by CVPR, 2017.
01/2017, one paper was accepted by TNNLS.
10/2013 - 10/2017: Delft University of Technology (TU Delft), the Netherlands. PhD candidate in Pattern Recognition and Computer Vision Lab.
Research area: Machine Learning and Computer Vision, supervised by Prof. David Tax and Dr. Laurens van der Maaten.
08/2011 - 08/2013: Eindhoven University of Technology (TU/e), the Netherlands. Master of Computer Science and Engineering.
Research area: Data Mining, supervised by Prof. Toon Calders.
09/2008 - 03/2011: ZheJiang University (ZJU), China. Master of Computer Science and Technology in State Key Lab of CAD&CG.
Research area: Computer Graphics and Visualization, supervised by Prof. Jin Huang and Prof. Hujun Bao.
09/2004 - 06/2008: Shanghai JiaoTong University (SJTU), China. Bachelor of Computer Science and Engineering. Bachelor of Business Administration.
Yunqiang Li#, Wenjie Pei#, Yufei Zha and Jan van Gemert (#both authors contributed
equally). Push for Quantization: Deep Fisher Hashing.
British Machine Vision Conference (BMVC) Oral, (4.7% acceptance rate), 2019.
Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy and Élisa Fromont. Mining top-k largest tiles in a data stream.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), 2014.
Serve as reviewers for:
Conferences: CVPR, ICCV, ICML, NeurIPS, ICLR, etc.
Journals: TNNLS, TIP, TMM, Pattern Recognition (PR), Transactions on Affective Computing (TAFFC), etc.