Visual Computing and Image Processing Lab
Oklahoma State University

Imaging, Processing, Inferencing and Learning


Latest News

On Feb. 2, 2015, Kelly Nugent is awarded the Wentz Semester Research Grant for Spring 2015!
In spring, 2015, VCIPL welcomes two new members, Narges Nourian (MS student),  and Dr. Zhigang Liu from Hunan University in China (Visiting scholar).
On Nov. 17, 2014, a regular paper co-authored with Meng Ding on manifold-based human motion modeling is accepted by IEEE Trans. Cybernetics. 
On Oct. 30, 2014 Two papers co-authored with Meng and Dong are accepted by WACV2015.
  In fall, 2014, VCIPL welcomes five new members, Lin Guo (MS student), Mehdi Yazdanpour (PhD student), Kelly Nugent (BS student), Dr. Guangfeng Lin (Visiting scholar) and Prof. Yuan Jia (Visiting scholar).
On Aug. 27, 2014 A 3-year grant (PI: Dr. Sheng and Co-PI: Dr. Fan) is awarded by the NSF's National Robotics Initiative (NRI).


Welcome to VCIPL

Visual Computing and Image Processing Lab (VCIPL) at Oklahoma State University (OSU) is dedicated to both fundamental and applied research in the areas of machine learning, computer vision, image processing, pattern recognition, and the their applications in multimedia, biomedical imaging and remote sensing data analysis. In particular, we are interested in inference and learning problems involving geometry, shape, appearance, kinematics, dynamics, and semantics, which are essential for many vision tasks both at the object-level, such as object detection, recognition, localization, tracking, and at the scene-level, video mining and image/video understanding.

VCIPL was founded in 2001, and Dr. Guoliang Fan was appointed as the lab director. The VCIPL is now located in ATRC233 with more than 600 square feet space. Since 2001, VCIPL has been funded by OSU, Environmental Institute, NSF, NASA, OCAST, and Army Research Office (ARO), etc.

Oklahoma State University (OSU)

OSU Environmental Institute (EI)

Oklahoma NASA EPSCoR
 Oklahoma Center for the Advancement of Science & Technology (OCAST)

National Science Foundation (NSF)

Army Research Office





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