Jia joined the Department of Computer
Science and Engineering at The Chinese University of Hong
Kong (CUHK) in September 2004 as an assistant professor
and was appointed associate professor and professor in 2010
and 2015. He received his Ph.D. degree in
from Hong Kong University of Science and Technology. He was a
visiting scholar at Microsoft Research Asia from March 2004 to
August 2005 and conducted collaborative research at Adobe
Systems in 2007. He leads the active research team at CUHK,
composed of students and research fellows in computer vision
and machine learning, focusing specifically on image/video
understanding, computational imaging, motion and depth
practical optimization, and advanced learning for visual
content. He focused on computer vision research and related
algorithm development since year 2000.
He is in the editorial boards of IEEE Transactions
on Pattern Analysis and Machine Intelligence (TPAMI) and International Journal of Computer Vision (IJCV). He
served as area chairs for ICCV and CVPR for several times. He was on (technical paper) program committees of major conferences in graphics and computational imaging, including ICCP, SIGGRAPH, and SIGGRAPH Asia, and co-chaired the Workshop on Interactive
Computer Vision, in conjunction with ICCV 2007. He received
the Young Researcher Award 2008 and Research
Excellence Award 2009 from CUHK. He and his students won
the best paper award in NPAR 2012.
Jiaya Jia's research interests include
computer vision, computational imaging, and machine
learning. He keeps good relationship with industry and
various research labs, and values practical techniques that
can be transferred to commercial systems.
His projects were funded by Microsoft, Qualcomm,
Adobe, Intel, NVidia, Amazon, Lenovo, Huawei, and several other
companies. PhDs and masters from this group made significant contributions to academia and industry, and become leaders in a variety of fields.
⇒ I have quota now for students
and postdocs to join our team in
working on exciting and innovative computer vision +
machine learning projects. Ninja programmers and brainstormers
get extra credits.
8 papers in ICCV 2017 with 3
1st place in
ImageNet Scene Parsing Challenge 2016 with the paper
PSPNet presented in
Area chair for CVPR 2017 and ICCV 2017.
Joined the IJCV editorial board.
News about our recent work collaborated with Adobe - "Automatic Portrait Segmentation for Image Stylization"
robust and fast
single-image blur removal software
incorporates all our techniques.
Several our techniques are included in OpenCV library. See the
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