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01/05/2022
Asymptotics of ℓ_2 Regularized Network Embeddings
A common approach to solving tasks, such as node classification or link ...
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07/06/2021
Asymptotics of Network Embeddings Learned via Subsampling
Network data are ubiquitous in modern machine learning, with tasks of in...
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07/10/2020
Next Waves in Veridical Network Embedding
Embedding nodes of a large network into a metric (e.g., Euclidean) space...
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04/09/2020
Neural Object Descriptors for Multi-View Shape Reconstruction
The choice of scene representation is crucial in both the shape inferenc...
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02/24/2020
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM
Generally capable Spatial AI systems must build persistent scene represe...
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04/17/2019
Event-based Vision: A Survey
Event cameras are bio-inspired sensors that work radically different fro...
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12/19/2018
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
We propose a new multi-instance dynamic RGB-D SLAM system using an objec...
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09/16/2016
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks
Ever more robust, accurate and detailed mapping using visual sensing has...
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07/25/2016
gvnn: Neural Network Library for Geometric Computer Vision
We introduce gvnn, a neural network library in Torch aimed towards bridg...
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05/24/2016
