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Mathematical Models for Human-Robot Systems in Assistive Robotics: Perception, Inference, and Assistance
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AutoPoint: Selecting and Interacting with Distant Objects While Traveling in an Automobile
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On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Processes
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Unified Compositional Models for Visual Recognition
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Towards Understanding and Reducing Exploitability of Linux Kernel Bugs
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Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution
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Real-Time View Synthesis using Deep Learning
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Investigating Student Self-Perceptions During The Programming Process
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Applications of Statistical Language Models in Complex Network Community Detection and Definition Modeling
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Variants of MaxRS Queries for Trajectories, Shapes and Spatial Data Streams
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