Mengran Gou
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Currently, I'm a staff machine learning Engineer in Qualcomm Shanghai and enjoying moving computer vision application to edge devices. Before join Qualcomm, I obtained my Ph.D degree from Northeastern University under the supervision of Dr. Camps in Robust Systems Lab, Master degree in Penn State University and Bachelor degree in Harbin Institute of Technology. My reseach interests include biometric antispoofing, domain generalization, deepfake and person re-identification.
Education
Ph.D., Electrical Engineering, Northeastern University, Sep. 2012 – May 2018
M.Sc., Electrical Engineering, The Pennsylvania State University, Aug. 2010 – May 2012
B.Eng., Automation, Harbin Institute of Technology, Sep. 2006 – July 2010
News
Mar. 2024, Extension of the ECCV paper on face anti-spoofing is accepted by PAMI!
Nov. 2023, One paper on face anti-spoofing is accepted by ICCV 2023!
Oct. 2022, One paper accepted by ECCV 2022! Great job for the SJTU students!
Jun. 2019, Our team won the third place in the object detection track of LPIRC @ CVPR 2019!
May. 2019, One paper accepted by IJCAI 2019!
Nov. 2018, Code for MoNet is released! [Github]
Oct. 2018, The Re-ID dataset page moved to Github. Please check it HERE.
July 2018, Join Qualcomm (Shanghai) as a Senior Engineer.
Feb 2018, One paper is accepted in CVPR 2018! [Arxiv]
Feb 2018, Our benchmark paper is accepted by T-PAMI! [Arxiv][GitHub]
Feb 2018, Defended my dissertation successfully!
Aug 2017, One workshop paper is accepted in ICCV 2017
Aug 2017, Airport dataset is online!
May 2017, One workshop paper is accepted in CVPR 2017
Sep. 2015, Collection and short review for public re-id datasets
Service
Journal Reviewer: IEEE T-PAMI (2017-2020), IEEE T-IFS (2018-2020), IEEE Access (2017-2018), CVIU (2018), JVCI (2018)
Conference Reviewer: AAAI (2019), ICCV (2019), ICDSC (2018, 2019)