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Developing parsimonious ensembles using predictor diversity within a reinforcement learning framework
Heterogeneous ensembles that can aggregate an unrestricted number and va...
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Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
We propose an end-to-end real time framework to generate high resolution...
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Simulated Chats for Task-oriented Dialog: Learning to Generate Conversations from Instructions
Popular task-oriented dialog data sets such as MultiWOZ (Budzianowski et...
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Ford Highway Driving RTK Dataset: 30,000 km of North American Highways
There is a growing need for vehicle positioning information to support A...
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Unravelling the Architecture of Membrane Proteins with Conditional Random Fields
In this paper, we will show that the recently introduced graphical model...
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Experimental Evaluation of 3D-LIDAR Camera Extrinsic Calibration
In this paper we perform an experimental comparison of three different t...
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Aerial Imagery based LIDAR Localization for Autonomous Vehicles
This paper presents a localization technique using aerial imagery maps a...
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Ford Multi-AV Seasonal Dataset
This paper presents a challenging multi-agent seasonal dataset collected...
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Extrinsic Calibration of a 3D-LIDAR and a Camera
This work presents an extrinsic parameter estimation algorithm between a...
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Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
We describe a Deep-Geometric Localizer that is able to estimate the full...
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Standalone and RTK GNSS on 30,000 km of North American Highways
There is a growing need for vehicle positioning information to support A...
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Localization Requirements for Autonomous Vehicles
Autonomous vehicles require precise knowledge of their position and orie...
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Deep Discriminative Learning for Unsupervised Domain Adaptation
The primary objective of domain adaptation methods is to transfer knowle...
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Unsupervised Learning of Interpretable Dialog Models
Recently several deep learning based models have been proposed for end-t...
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Developing parsimonious ensembles using ensemble diversity within a reinforcement learning framework
Heterogeneous ensembles built from the predictions of a wide variety and...
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Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution
In this work we propose a novel motion guided method for automatic and t...
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Compact Environment-Invariant Codes for Robust Visual Place Recognition
Robust visual place recognition (VPR) requires scene representations tha...
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Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation
Conditional random fields (CRFs) are commonly employed as a post-process...
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Variational methods for Conditional Multimodal Deep Learning
In this paper, we address the problem of conditional modality learning, ...
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A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics
The combination of multiple classifiers using ensemble methods is increa...
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Enhancing the functional content of protein interaction networks
Protein interaction networks are a promising type of data for studying c...
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