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Daozheng Chen |
I am a Ph.D. candidate at the University of Maryland, College Park. I am interested in video processing and object recognition and detection using learning and inference algorithms of probabilistic graphical models.
I am looking for full-time positions in industry and research labs. Here is my resume.
Email: dchen AT cs dot umd dot edu
Office: Room 4420, A.V. Williams Building
Mail:
Department of Computer Science
A.V. Williams Building,
University of Maryland,
College Park, MD 20742
Peter Belhumeur, Daozheng Chen, Steven Feiner, David Jacobs, W. John Kress, Haibin Ling, Ida Lopez, Ravi Ramamoorthi, Sameer Sheorey, Sean White and Ling Zhang, Searching the World's Herbaria: A System of Visual Identification of Plant Species, In European Conference on Computer Vision, 2008. (pdf)
Daozheng Chen, Mustafa Bilgic, Lise Getoor, and David Jacobs. Efficient Resource-constrained Retrospective Analysis of Long Video Sequences. In NIPS Workshop on Adaptive Sensing, Active Learning and Experimental Design: Theory, Methods and Applications, 2009. (pdf)
Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs, Lilyana Mihalkova, and Tom Yeh. Active Inference for Retrieval in Camera Networks, In Workshop on Person Oriented Vision, 2011. (pdf, slides)
Daozheng Chen, Mustafa Bilgic, Lise Getoor, and David Jacobs. Dynamic Processing Allocation in Video. IEEE transaction on Pattern Analysis and Machine Intelligence, vol.33, no.11, pp.2174-2187, Nov. 2011 (pdf)
Daozheng Chen, Dhruv Batra, Bill Freeman, Micah K. Johnson. Group Norm for Learning Latent Structural SVMs. In NIPS Workshop on Optimization in Machine Learning, 2011. (pdf, poster, slides)
CMSC828C Statistical Pattern Recognition (Prof. Rama Chellappa)
CMSC828K Sensor Data Management (Prof. Amol Deshpande)
CMSC828D Digital Image Processing (Prof. Rama Chellappa)
CMSC828J Seminars in Visual and Auditory Scene Analysis (Prof. David Jacobs)
CMSC651 Analysis of Algorithms (Prof. Clyde Kruskal)
CMSC660 Scientific Computing I (Prof. Dianne P. O'Leary)
CMSC711 Computer Networks (Prof. Neil Spring)
CMSC828J Approaches to Representing and Recognizing Objects (Prof. David Jacobs)
CMSC828J Image Segmentation (Prof. David Jacobs)
CMSC828L Combining Statistical and Logical Approaches (Prof. Lise Getoor)
Coming soon.