STAR: Self-Tuning Aggregation for Scalable Monitoring. - Navendu Jain; Michael Dahlin; Yin Zhang; Dmitry Kit; Prince Mahajan; Praveen Yalagandula (VLDB, 2007)

Network Imprecision: A New Consistency Metric for Scalable Monitoring. - Navendu Jain; Prince Mahajan; Dmitry Kit; Praveen Yalagandula; Michael Dahlin; Yin Zhang (OSDI, 2008)

Novelty detection using Growing Neural Gas for visuo-spatial memory. - Dmitry Kit; Brian T. Sullivan; Dana H. Ballard (IROS, 2011)

Low-Rank Transfer Learning. - Ming Shao; Dmitry Kit; Yun Fu 001 (Low-Rank and Sparse Modeling for Visual Analysis, 2014)

A Discriminative Model with Multiple Temporal Scales for Action Prediction. - Yu Kong 001; Dmitry Kit; Yun Fu 001 (ECCV (5), 2014)

LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations. - Dmitry Kit; Yu Kong 001; Yun Fu 001 (IJCNN, 2014)

Generalized Transfer Subspace Learning Through Low-Rank Constraint. - Ming Shao; Dmitry Kit; Yun Fu 001 (Int. J. Comput. Vis., 2014)

Reading Between the Dots: Combining 3D Markers and FACS Classification for High-Quality Blendshape Facial Animation. - Shridhar Ravikumar; Colin Davidson; Dmitry Kit; Neill D. F. Campbell; Luca Benedetti; Darren Cosker (Graphics Interface, 2016)

Classifying mobile eye tracking data with hidden Markov models. - Dmitry Kit; Brian T. Sullivan (MobileHCI Adjunct, 2016)

Efficient Image Geotagging Using Large Databases. - Dmitry Kit; Yu Kong 001; Yun Fu 001 (IEEE Trans. Big Data, 2016)

Physics-driven Fire Modeling from Multi-view Images. - Garoe Dorta; Luca Benedetti; Dmitry Kit; Yong-Liang Yang (CoRR, 2018)