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06/19/2023
Eigenpatches – Adversarial Patches from Principal Components
Adversarial patches are still a simple yet powerful white box attack tha...
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06/01/2023
Geo-Tiles for Semantic Segmentation of Earth Observation Imagery
To cope with the high requirements during the computation of semantic se...
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05/22/2023
READMem: Robust Embedding Association for a Diverse Memory in Unconstrained Video Object Segmentation
We present READMem (Robust Embedding Association for a Diverse Memory), ...
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11/22/2022
Uncertainty-aware Vision-based Metric Cross-view Geolocalization
This paper proposes a novel method for vision-based metric cross-view ge...
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05/03/2022
Bézier Curve Gaussian Processes
Probabilistic models for sequential data are the basis for a variety of ...
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03/07/2022
Continuous Self-Localization on Aerial Images Using Visual and Lidar Sensors
This paper proposes a novel method for geo-tracking, i.e. continuous met...
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03/03/2022
Revisiting Click-based Interactive Video Object Segmentation
While current methods for interactive Video Object Segmentation (iVOS) r...
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11/22/2021
Improving Semantic Image Segmentation via Label Fusion in Semantically Textured Meshes
Models for semantic segmentation require a large amount of hand-labeled ...
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08/26/2021
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection
Deep neural networks, especially convolutional deep neural networks, are...
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07/01/2021
Generating Synthetic Training Data for Deep Learning-Based UAV Trajectory Prediction
Deep learning-based models, such as recurrent neural networks (RNNs), ha...
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06/30/2021
MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
In applications such as object tracking, time-series data inevitably car...
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05/28/2021
MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors
We present the current state of development of the sensor-equipped car M...
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03/22/2021
Handling Missing Observations with an RNN-based Prediction-Update Cycle
In tasks such as tracking, time-series data inevitably carry missing obs...
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02/04/2021
3D Surface Reconstruction From Multi-Date Satellite Images
The reconstruction of accurate three-dimensional environment models is o...
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12/02/2020
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking
We propose a framework that extends Blender to exploit Structure from Mo...
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08/06/2020
Integration of 3D Knowledge for On-Board UAV Visual Tracking
Visual tracking from an unmanned aerial vehicle (UAV) poses challenges s...
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05/28/2020
Quantifying the Complexity of Standard Benchmarking Datasets for Long-Term Human Trajectory Prediction
Methods to quantify the complexity of trajectory datasets are still a mi...
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03/27/2020
A Short Note on Analyzing Sequence Complexity in Trajectory Prediction Benchmarks
The analysis and quantification of sequence complexity is an open proble...
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03/03/2020
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition
Living in a complex world like ours makes it unacceptable that a practic...
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11/27/2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
Deep Learning is a state-of-the-art technique to make inference on exten...
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08/12/2019
Modeling continuous-time stochastic processes using N-Curve mixtures
Representations of sequential data are commonly based on the assumption ...
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03/11/2019
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals
In this paper, a novel two-stream architecture for the task of temporal ...
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02/05/2019
An RNN-based IMM Filter Surrogate
The problem of varying dynamics of tracked objects, such as pedestrians,...
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10/17/2018
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
Statistical models of the human body surface are generally learned from ...
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08/27/2018
Stereo 3D Object Trajectory Reconstruction
We present a method to reconstruct the three-dimensional trajectory of a...
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05/19/2018
An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark
In recent years, there is a shift from modeling the tracking problem bas...
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04/16/2018
Particle-based pedestrian path prediction using LSTM-MDL models
Recurrent neural networks are able to learn complex long-term relationsh...
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11/16/2017
3D Trajectory Reconstruction of Dynamic Objects Using Planarity Constraints
We present a method to reconstruct the three-dimensional trajectory of a...
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03/03/2017