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 currently serves as an associate editor for
the IEEE Transactions
on Pattern Analysis and Machine Intelligence (TPAMI)
and served as an area chair 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. He is a senior
member of the IEEE.
Jiaya Jia's research interests include
computer vision, computational imaging, and machine
learning. He keeps a 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
⇒ Looking for new students
and capable postdocs to join our team in
working on exciting and innovative computer vision +
machine learning projects (with limited quota). Ninja programmers and brainstormers
get extra credits.
1st place in
ImageNet Scene Parsing Challenge 2016.
News about our recent work collaborated with Adobe - "Automatic Portrait Segmentation for Image Stylization"
robust and fast
single-image blur removal software
incorporating all our techniques.
Several our techniques are included in OpenCV library. See the
Among the 70+ oral papers selected from 2145 submissions, we contribute
two for upcoming CVPR 2016.
our work accepted in ECCV 2016,
NIPS 2016, SIGGRAPH Asia 2016.
our work accepted in ICCV 2015.
was delivered by Xiaoyong Shen.
our work accepted in SIGGRAPH
our work accepted in CVPR 2015.
Room 1018, Ho
Sin Hang Engg. Bldg.,
The Chinese University of Hong