Alexander Hermans

Orcid: 0000-0003-2127-0782

According to our database1, Alexander Hermans authored at least 34 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think.
CoRR, 2024

OoDIS: Anomaly Instance Segmentation Benchmark.
CoRR, 2024

An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs.
CoRR, 2024

Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images.
Comput. Methods Programs Biomed., 2024

RGB-D Cube R-CNN: 3D Object Detection with Selective Modality Dropout.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Mask3D: Mask Transformer for 3D Semantic Instance Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Point2Vec for Self-supervised Representation Learning on Point Clouds.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

UGainS: Uncertainty Guided Anomaly Instance Segmentation.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

TarViS: A Unified Approach for Target-Based Video Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Mask3D for 3D Semantic Instance Segmentation.
CoRR, 2022

Differentiable Soft-Masked Attention.
CoRR, 2022

2D vs. 3D LiDAR-based Person Detection on Mobile Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Global Hierarchical Attention for 3D Point Cloud Analysis.
Proceedings of the Pattern Recognition, 2022

HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Domain and Modality Gaps for LiDAR-based Person Detection on Mobile Robots.
CoRR, 2021

Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Learning-based visual scene and person understanding for mobile robotics.
PhD thesis, 2020

DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Visual Person Understanding Through Multi-task and Multi-dataset Learning.
Proceedings of the Pattern Recognition, 2019

2018
Deep Person Detection in Two-Dimensional Range Data.
IEEE Robotics Autom. Lett., 2018

Superpixels: An evaluation of the state-of-the-art.
Comput. Vis. Image Underst., 2018

Deep Person Detection in 2D Range Data.
CoRR, 2018

MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
The STRANDS Project: Long-Term Autonomy in Everyday Environments.
IEEE Robotics Autom. Mag., 2017

DROW: Real-Time Deep Learning-Based Wheelchair Detection in 2-D Range Data.
IEEE Robotics Autom. Lett., 2017

In Defense of the Triplet Loss for Person Re-Identification.
CoRR, 2017

Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
DROW: Real-Time Deep Learning based Wheelchair Detection in 2D Range Data.
CoRR, 2016

Multi-scale object candidates for generic object tracking in street scenes.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Biternion Nets: Continuous Head Pose Regression from Discrete Training Labels.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014
Dense 3D semantic mapping of indoor scenes from RGB-D images.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014


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