Publications

Our publications provide insight into some of our leading-edge research.

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2022

Image Features Influence Reaction Time: A Learned Probabilistic Perceptual Model for Saccade Latency
Budmonde Duinkharjav, Praneeth Chakravarthula, Rachel Brown, Anjul Patney, Qi Sun
Best Technical Paper, SIGGRAPH 2022
As-Locally-Uniform-as-Possible Reshaping of Vector Clip Art
Chrystiano Araujo, Nicholas Vining, Enrique Rosales, Giorgio Gori, Alla Sheffer
Detecting Viewer-Perceived Intended Vector Sketch Connectivity
Jerry Yin, Chenxi Liu, Rebecca Liu, Nicholas Vining, Helge Rhodin, Alla Sheffer
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation
Alexey Kamenev, Lirui Wang, Ollin Boer Bohan, Ishwar Kulkarni, Bilal Kartal, Artem Molchanov, Stan Birchfield, David Nister, Nikolai Smolyanskiy

2021

StrokeStrip: Joint Parameterization and Fitting of Stroke Clusters
Dave Pagurek van Mossel, Chenxi Liu, Nicholas Vining, Mikhail Bessmeltsev, Alla Sheffer
Known unknowns: Learning novel concepts using exploratory reasoning-by-elimination
Harsh Agrawal, Eli Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
Oral
Robust Vision-Based Cheat Detection in Competitive Gaming
Aditya Jonnalagadda, Iuri Frosio, Seth Schenider, Morgan McGuire, Joohwan Kim