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Event Sequencing Annotation with TIE-ML
TIE-ML (Temporal Information Event Markup Language) first proposed by Cavar et al. (2021) provides a radically simplified temporal annotation schema for event sequencing and clause level temporal properties even in complex sentences.
Generalized Convolutional Neural Networks for Point Cloud Data
The introduction of cheap RGB-D cameras, stereo cameras, and LIDAR devices has given the computer vision community 3D information that conventional RGB cameras cannot provide.
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Scalability properties of deep neural networks raise key research questions, particularly as the problems considered become larger and more challenging.
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