Opening Description:

With recent funding from NSF, AFOSR and Industry, the Multimedia Computing & Communication (MC2) Lab at UMKC now has 2 PhD openings with full financial support (including tuition, health insurance, and stipends) for Spring/Fall 2022 starting time to work in the following topics:
Future Video Codec (FVC) research, new coding tools, especially deep learning techniques in new intra-prediction , super-resolving prediction and deblocking filtering solutions. Learning based compression, compression for machine vision. Advanced new motion model and compensation tools.Immersive visual communication research, point cloud, light field and 360 video capture, compression and very low latency communication. Computational discrete geometry and graph signal processing techniques in point cloud compression; Deep and traditional methods for light field compression and super-resolution.Deep convolutional network compression and acceleration. Embedded system friendly deep learning capabilities for visual signal compression, recognition and re-identification.Robust object re-identification against large scale data base, new key point features with depth info, hyper-spectral imaging, high efficiency local feature aggregation and hashing. Differential key points deep learning for low resolution/quality image recognition.

Candidates Expectation:

Ideal candidates should have MS degree in CS/EE, and have solid programming skills in C/C++, Python and Matlab. Desired course work including Linear Algebra, Probability & Statistics, Numerical Optimization. Self-motivating and have a strong desire to do cutting edge research and publish.
Senior candidates with solid publication records for Post-Doc Researcher/Research Assistant Professor applicants are also welcome.

Contact Info:

Interested students please send me a short CV, a copy of your transcript, publications if any, and GRE/TOEFL/IELTS scores (strong candidates’ GRE requirement can be waived) to:
Zhu LiAssociate Professor & DirectorNSF I/UCRC Center for Big Learning at UMKCMultimedia Computing & Communication (MC2) LabSchool of Computing & Engineering,Univ of Missouri, Kansas City, USA
More details of my background and research can be found at:
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