09/06/2011: I am looking for two self-motivated PhD students to join my research group in Fall 2012 to work in the areas of computer vision and social media data mining. Applicants are expected to have strong skills in both programming and mathematics. A Master's degree with related research experience in computer vision, machine learning, or data mining is a plus. To apply, check http://www.cs.rochester.edu/education/phd-program.
09/01/2011: Professor Luo joined the CS Department after a prolific career of 15+ years at Kodak Research Labs.
Jiebo Luo joined the University of Rochester in Fall 2011 after over fifteen years at Kodak Research Laboratories, where he was a Senior Principal Scientist leading research and advanced development. He has been involved in numerous technical conferences, including serving as the program co-chair of ACM Multimedia 2010 and IEEE CVPR 2012. He is the Editor-in-Chief of the Journal of Multimedia, and has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Machine Vision and Applications, and Journal of Electronic Imaging. He is a Fellow of the SPIE, IEEE, and IAPR.
His research spans image processing, computer vision, machine learning, data mining, medical imaging, and ubiquitous computing. He has been an advocate for contextual inference in semantic understanding of visual data, and continues to push the frontiers in this area by incorporating geo-location context and social context. A recent research thrust focuses on exploiting social media for machine learning, data mining, and human-computer interaction, for example, mining the wisdom of crowds for social, political, and economic prediction and forecasting. He has published extensively with over 180 papers and 60 US patents.
Xin Jin, Jie Yu, Jiawei Han, Jiebo Luo, “Reinforced retrieval in image-rich information networks via integration of link and content based similarities,” IEEE Trans. on Knowledge Discovery and Engineering, accepted.
Vivek Singh, Jiebo Luo, Dhiraj Joshi, Phoury Lei, Madirakshi Das, Peter Stubler, "Reliving On Demand: A Total Viewer Experience," ACM Multimedia Conference, Scottsdale, AZ, November 2011. (Long Paper)
Minwoo Park, Jiebo Luo, Majid Rabbani, Andrew Gallagher, "Learning to Produce 3D Media from a Captured 2D Video," ACM Multimedia Conference, Scottsdale, AZ, November 2011.
Zheshen Wang, Mrityunjay Kumar, Jiebo Luo, Baoxin Li, "Extracting Key Frames from Consumer Videos Using Bi-layer Group Sparsity," ACM Multimedia Conference, Scottsdale, AZ, November 2011.
Jianchao Yang, Jiebo Luo."Photo Stream Alignment for Collaborative Photo Collection and Sharing in Social Media," ACM SIGMM Workshop on Social Media (WSM2011)in conjunction with ACM Multimedia 2011, November 2011.
Xin Jin, Cindy Lin, Jiebo Luo, Jiawei Han, “A Data Mining-based Spam Detection System for Social Media Networks,” Demo Paper, International Conference on Very Large Data Bases (VLDB), Seattle, WA, August 2011.
Xin Jin, Chi Wang, Jiebo Luo, Jiawei Han, “LikeMiner: A System for Mining the Power of ’Like’ in Social Media Networks,” Demo Paper, International Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, August 2011.
Yiming Liu, Dong Xu, Ivor Tsang, Jiebo Luo, "Textual query of personal photos facilitated by large-scale web data," IEEE Trans. on Pattern Analysis and Machine Intelligence, 33(5): 1022-1036, May 2011.
Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, and Thomas Huang, “Diversified Trajectory Pattern Ranking in Geo-tagged Social Media,” SIAM Conference on Data Mining (SDM), Mesa, AZ, April 2011.
Xin Jin, Andrew Gallagher, Jiawei Han, Jiebo Luo, “Wisdom of Social Multimedia: Using Flickr for Prediction and Forecast,” ACM Multimedia Conference, Brave and New Ideas Track, Firenze, Italy, October 2010. (Long Paper)
Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo, “Collection-based sparse label propagation and its application to social group suggestion from photos,” ACM Transactions on Intelligent Systems and Technology, 2(2): , February 2011.
Minwoo Park, Jiebo Luo, Robert Collions, Yanxi Liu, "Beyond GPS: Determining the viewing direction of a geotagged image," ACM Multimedia Conference, Firenze, Italy, Ocotober 2010.
Lixin Duan, Dong Xu, Ivor Tsang, Jiebo Luo, “Visual Event Recognition in Videos by Learning from Web Data,” IEEE International Conference on Computer Vision and Pattern Recognition, San Francisco, CA, June 2010. (Best Student Paper) (Project Page)
Liangliang Cao, Jiebo Luo, Andrew Gallagher, Thomas Huang, “A Worldwide Tourism Recommendation System Based on Geotagged Web Photos,” IEEE International Conference on Acoustic, Speech and Signal Processing, Dallas, TX, April 2010.
Jingen Liu, Jiebo Luo, Mubarak Shah, "Recognizing Realistic Actions from Videos in the Wild," IEEE International Conference on Computer Vision and Pattern Recognition, Miami, FL, June 2009. (Oral Presentation) (Project Page)
Free access and statistics provided by the ACM Digital Library
Charles Parker, Dhiraj Joshi, Phoury Lei, Jiebo Luo
MIRUM '11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, 2011