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08/17/2023
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
Uncertainty quantification is critical for deploying deep neural network...
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07/20/2022
Latent Discriminant deterministic Uncertainty
Predictive uncertainty estimation is essential for deploying Deep Neural...
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03/02/2022
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks
Predictive uncertainty estimation is essential for deploying Deep Neural...
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02/24/2022
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression
Monocular depth is important in many tasks, such as 3D reconstruction an...
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10/21/2021
SLURP: Side Learning Uncertainty for Regression Problems
It has become critical for deep learning algorithms to quantify their ou...
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07/13/2021
Learning a Discriminant Latent Space with Neural Discriminant Analysis
Discriminative features play an important role in image and object class...
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12/04/2020
Encoding the latent posterior of Bayesian Neural Networks for uncertainty quantification
Bayesian neural networks (BNNs) have been long considered an ideal, yet ...
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06/01/2020
One Versus all for deep Neural Network Incertitude (OVNNI) quantification
Deep neural networks (DNNs) are powerful learning models yet their resul...
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12/24/2019
TRADI: Tracking deep neural network weight distributions
During training, the weights of a Deep Neural Network (DNN) are optimize...
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02/07/2019
Evaluating Crowd Density Estimators via Their Uncertainty Bounds
In this work, we use the Belief Function Theory which extends the probab...
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08/02/2018
Geometry-Based Multiple Camera Head Detection in Dense Crowds
This paper addresses the problem of head detection in crowded environmen...
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07/10/2018
Efficient Evaluation of the Number of False Alarm Criterion
This paper proposes a method for computing efficiently the significance ...
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03/23/2018
2CoBel : An Efficient Belief Function Extension for Two-dimensional Continuous Spaces
This paper introduces an innovative approach for handling 2D compound hy...
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08/01/2013
Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes
In this paper we address the problem of multiple camera calibration in t...
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03/13/2011