Real-time automatic 3D scene generation from natural language voice and text descriptions. - Lee M. Seversky; Lijun Yin 001 (ACM Multimedia, 2006)

Real-time spatial relationship based 3D scene composition of unknown objects. - Lee M. Seversky; Lijun Yin 001 (SIGGRAPH Research Posters, 2006)

Dynamic Cage-Driven 3D Range-Scan Alignment. - Lee M. Seversky; Lijun Yin 001 (Eurographics (Short Papers), 2010)

Scalable Cage-Driven Feature Detection and Shape Correspondence for 3D Point Sets. - Lee M. Seversky; Lijun Yin 001 (ICPR, 2010)

Reshaping 3D facial scans for facial appearance modeling and 3D facial expression analysis. - Yanhui Huang; Xing Zhang 012; Yangyu Fan; Lijun Yin 001; Lee M. Seversky; Tao Lei; Weijun Dong (FG, 2011)

Harmonic point cloud orientation. - Lee M. Seversky; Matt S. Berger; Lijun Yin 001 (Comput. Graph., 2011)

A Global Parity Measure for Incomplete Point Cloud Data. - Lee M. Seversky; Lijun Yin 001 (Comput. Graph. Forum, 2012)

Reshaping 3D facial scans for facial appearance modeling and 3D facial expression analysis. - Yanhui Huang; Xing Zhang 012; Yangyu Fan; Lijun Yin 001; Lee M. Seversky; James Allen; Tao Lei; Weijun Dong (Image Vis. Comput., 2012)

Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction. - Matthew Berger; Lee M. Seversky (CVPR, 2014)

State of the Art in Surface Reconstruction from Point Clouds. - Matthew Berger; Andrea Tagliasacchi; Lee M. Seversky; Pierre Alliez; Joshua A. Levine; Andrei Sharf; Cláudio T. Silva (Eurographics (State of the Art Reports), 2014)

Matrix completion with columns in union and sums of subspaces. - Pengzhi Gao; Meng Wang 003; Joe H. Chow; Matthew Berger; Lee M. Seversky (GlobalSIP, 2015)

Efficient Online Relative Comparison Kernel Learning. - Eric Heim; Matthew Berger; Lee M. Seversky; Milos Hauskrecht (SDM, 2015)

Active Perceptual Similarity Modeling with Auxiliary Information. - Eric Heim; Matthew Berger; Lee M. Seversky; Milos Hauskrecht (CoRR, 2015)

Sequential low-rank change detection. - Yao Xie 002; Lee M. Seversky (Allerton, 2016)

On Time-Series Topological Data Analysis: New Data and Opportunities. - Lee M. Seversky; Shelby Davis; Matthew Berger (CVPR Workshops, 2016)

Classifying swarm behavior via compressive subspace learning. - Matthew Berger; Lee M. Seversky; Daniel S. Brown (ICRA, 2016)

A Survey of Surface Reconstruction from Point Clouds. - Matthew Berger; Andrea Tagliasacchi; Lee M. Seversky; Pierre Alliez; Gaël Guennebaud; Joshua A. Levine; Andrei Sharf; Cláudio T. Silva (Comput. Graph. Forum, 2017)

Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. - Pengzhi Gao; Meng Wang 003; Joe H. Chow; Matthew Berger; Lee M. Seversky (IEEE Trans. Signal Process., 2017)

cite2vec: Citation-Driven Document Exploration via Word Embeddings. - Matthew Berger; Katherine McDonough; Lee M. Seversky (IEEE Trans. Vis. Comput. Graph., 2017)

Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. - Namjoon Suh; Xiaoming Huo; Eric Heim; Lee M. Seversky (CoRR, 2019)

A network model that combines latent factors and sparse graphs. - Namjoon Suh; Xiaoming Huo; Eric Heim; Lee M. Seversky (Stat. Anal. Data Min., 2021)