Chen Change Loy received his PhD (2010) in Computer Science from the Queen Mary University of London (Vision Group). From Dec. 2010 – Mar. 2013, he was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited, where he was involved in two European FP7 computer vision projects on security and surveillance using multi-camera CCTV systems, SAMURAI (2008-2011) and GETAWAY (2011-2014).
He is now a Research Assistant Professor in the Chinese University of Hong Kong. He is also a visiting scholar of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. He is the Co-Principal Investigator of two large-scale projects supported by Hong Kong Innovation and Technology Fund (ITF), namely "Deep Learning-based Face Recognition on Cloud Computing Platform" (2015-2017), and "Intelligent Video Analysis for Crowd Management" (2014-2015).
His research interests include computer vision and pattern recognition, with focus on face analysis, deep learning, and visual surveillance. He has published more than 90 papers, including over 50 publications in main journals (SPM, TPAMI, IJCV) and top conferences (ICCV, CVPR, ECCV, NIPS). His journal paper on image super-resolution was selected as the `Most Popular Article' by IEEE Transactions on Pattern Analysis and Machine Intelligence from March 2016 to August 2016. It remains as one of the top 10 articles to date. His current h-index is 38. He was selected as the outstanding reviewer of ACCV 2014, BMVC 2017, and CVPR 2017.
He currently serves as an Associate Editor of IET Computer Vision Journal and a Guest Editor of the International Journal of Computer Vision (IJCV). He also serves as an Area Chair of ECCV 2018 and BMVC 2018. He is a senior member of IEEE.
吕健勤，香港中文大学研究助理教授,中国科学院深圳先进技术研究院访问学者。2010年获得伦敦大学玛丽王后学院（Queen Mary University of London）博士学位，2010-2013年于Vision Semantics任博士后研究员。曾参与两项欧盟框架计划下的计算机视觉研发项目，重点研究安防与多摄像头监控系统。 其研究方向主要为计算机视觉，研究内容包括人脸分析、深度学习、视频监控和底层图像处理等。迄今在顶级国际学术期刊与会议表论文90余篇，包括在CVPR/ICCV/ECCV/NIPS 和SPM/IJCV/TPAMI 发表论文50余篇。其中多篇CVPR/ICCV/ECCV论文被录用为大会口头报告论文。其论文被引用超过6500次，H-index为38 (根据Google Scholar的统计)。 他提出的SRCNN是图像超分辨率的标志性工作，对后续研究产生了重要影响。相关论文被顶级国际期刊TPAMI评选为2016年3月至今“最受欢迎文章”之一。他和其团队建立了多个标志性的计算机视觉数据集。其中包括人脸检测领域最大和最具挑战性的WIDER FACE、行人属性识别PETA数据库和车辆识别CompCars数据库等。 曾获得ImageNet 2014年物体检测的亚军、ImageNet 2016年物体识别的季军、2016 ACCV Best Application Paper Honorable Mention、2016 Hong Kong ICT Awards银奖、2017 NTIRE Challenge on Single Image Super-Resolution亚军和 2017 DAVIS Challenge on Video Object Segmentation冠军等。 现任IET Computer Vision 杂志副主编，IJCV 客座编辑，且担任多个国际顶级会议和期刊的审稿人。ECCV 2018 及 BMVC 2018 区域主席。 IEEE高级会员。