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09/20/2023
You can have your ensemble and run it too – Deep Ensembles Spread Over Time
Ensembles of independently trained deep neural networks yield uncertaint...
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07/26/2023
MCMC-Correction of Score-Based Diffusion Models for Model Composition
Diffusion models can be parameterised in terms of either a score or an e...
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01/24/2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Open-set semi-supervised learning (OSSL) is a realistic setting of semi-...
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12/13/2022
LidarCLIP or: How I Learned to Talk to Point Clouds
Research connecting text and images has recently seen several breakthrou...
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07/01/2022
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds
Masked autoencoding has become a successful pre-training paradigm for Tr...
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05/11/2022
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Following the success of supervised learning, semi-supervised learning (...
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04/18/2022
Active Learning with Weak Labels for Gaussian Processes
Annotating data for supervised learning can be costly. When the annotati...
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03/15/2022
Object Detection as Probabilistic Set Prediction
Accurate uncertainty estimates are essential for deploying deep object d...
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12/07/2021
Posterior linearisation smoothing with robust iterations
This paper considers the problem of robust iterative Bayesian smoothing ...
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11/10/2021
Tracking multiple spawning targets using Poisson multi-Bernoulli mixtures on sets of tree trajectories
This paper proposes a Poisson multi-Bernoulli mixture (PMBM) filter on t...
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10/26/2021
A time-weighted metric for sets of trajectories to assess multi-object tracking algorithms
This paper proposes a metric for sets of trajectories to evaluate multi-...
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09/02/2021
Extended Object Tracking Using Sets Of Trajectories with a PHD Filter
PHD filtering is a common and effective multiple object tracking (MOT) a...
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07/17/2020
DACS: Domain Adaptation via Cross-domain Mixed Sampling
Semantic segmentation models based on convolutional neural networks have...
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07/15/2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
The state of the art in semantic segmentation is steadily increasing in ...
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03/28/2020
Trajectory Poisson multi-Bernoulli filters
This paper presents two trajectory Poisson multi-Bernoulli (TPMB) filter...
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02/26/2020
A general framework for ensemble distribution distillation
Ensembles of neural networks have been shown to give better performance ...
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12/17/2019
Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
For the standard point target model with Poisson birth process, the Pois...
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12/14/2019
Bayesian Linear Regression on Deep Representations
A simple approach to obtaining uncertainty-aware neural networks for reg...
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11/28/2019
Lidar-Camera Co-Training for Semi-Supervised Road Detection
Recent advances in the field of machine learning and computer vision hav...
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08/23/2019
Gaussian implementation of the multi-Bernoulli mixture filter
This paper presents the Gaussian implementation of the multi-Bernoulli m...
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08/23/2019
Spooky effect in optimal OSPA estimation and how GOSPA solves it
In this paper, we show the spooky effect at a distance that arises in op...
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11/21/2018
Trajectory PHD and CPHD filters
This paper presents the probability hypothesis density filter (PHD) and ...
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11/07/2018
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling
This paper addresses the mapping problem. Using a conjugate prior form, ...
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10/18/2018
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation
New communication standards need to deal with machine-to-machine communi...
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09/21/2018
LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks
In this work, a deep learning approach has been developed to carry out r...
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03/27/2017
LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks
In this work, a novel learning-based approach has been developed to gene...
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03/13/2017
Poisson multi-Bernoulli mixture filter: direct derivation and implementation
We provide a derivation of the Poisson multi-Bernoulli mixture (PMBM) fi...
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03/10/2017
Fast LIDAR-based Road Detection Using Fully Convolutional Neural Networks
In this work, a deep learning approach has been developed to carry out r...
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05/26/2016
Multiple target tracking based on sets of trajectories
This paper proposes the set of target trajectories as the state variable...
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05/24/2016
Trajectory probability hypothesis density filter
This paper presents the probability hypothesis density (PHD) filter for ...
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05/20/2016
Poisson multi-Bernoulli conjugate prior for multiple extended object estimation
This paper presents a Poisson multi-Bernoulli mixture (PMBM) conjugate p...
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01/21/2016
Generalized optimal sub-pattern assignment metric
This paper presents the generalized optimal sub-pattern assignment (GOSP...
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04/22/2015
