Loy Chen Change is a Nanyang Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He is also an Adjunct Associate Professor at the Chinese University of Hong Kong, and a visiting scholar of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China. He received his PhD (2010) in Computer Science from the Queen Mary University of London. Prior to joining NTU, he served as a Research Assistant Professor at the MMLab of the Chinese University of Hong Kong, from 2013 to 2018. He was a postdoctoral researcher at Queen Mary University of London and Vision Semantics Limited, from 2010 to 2013.
His research interests include computer vision and deep learning, with focus on face analysis, image processing, and visual surveillance. He has published more than 100 papers in top journals and conferences of computer vision and machine learning. He and his research group pioneer the research in face detection, face alignment, and image super-resolution by deep learning. His journal paper on image super-resolution was selected as the `Most Popular Article' by IEEE Transactions on Pattern Analysis and Machine Intelligence in 2016. It remains as one of the top 10 articles to date. His current h-index is 45. He was selected as the outstanding reviewer of ACCV 2014, BMVC 2017, and CVPR 2017.
He serves as an Associate Editor of the International Journal of Computer Vision (IJCV) and IET Computer Vision Journal. He also serves/served as the Area Chair of CVPR 2019, BMVC 2019, ECCV 2018, and BMVC 2018. He is a senior member of IEEE.
吕健勤，南洋理工大学副教授，香港中文大学客座副教授，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， 2013-2018年于香港中文大学担任研究助理教授，2010-2013年于Vision Semantics任博士后研究员。 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100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10000次，H-index为45 (根据Google Scholar的统计)。 他和团队提出的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。他和其团队也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。 他和团队曾获得COCO Object Detection 2018 Challenge冠军、PIRM-SR 图像超分辨率2018冠军、2017 DAVIS Challenge on Video Object Segmentation冠军、2016 ACCV Best Application Paper Honorable Mention、2016 Hong Kong ICT Awards银奖、ImageNet 2016年物体识别的季军、ImageNet 2014年物体检测的亚军等。 现任IJCV和IET Computer Vision的杂志副主编，且担任多个国际顶级会议和期刊的审稿人。CVPR 2019、 BMVC 2019、ECCV 2018 及 BMVC 2018 区域主席。 IEEE高级会员。