Lukas Schneider

Orcid: 0000-0001-9708-9248

According to our database1, Lukas Schneider authored at least 23 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking With Adaptive Spatio-Temporal Appearance Representations.
IEEE Robotics Autom. Lett., February, 2024

Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Dualad: Disentangling the Dynamic and Static World for End-to-End Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Monte-Carlo tree search with uncertainty propagation via optimal transport.
CoRR, 2023

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Structural Knowledge Distillation for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection From Multi-view Camera Images With Global Cross-Sensor Attention.
Proceedings of the Computer Vision - ECCV 2022, 2022

End-to-End Single Shot Detector Using Graph-Based Learnable Duplicate Removal.
Proceedings of the Pattern Recognition, 2022

2021
Scene Understanding for Autonomous Driving based on Visual and Depth Cues.
PhD thesis, 2021

Charting closed-loop collective cultural decisions: From book best sellers and music downloads to Twitter hashtags and Reddit comments.
CoRR, 2021

Learning Stixel-based Instance Segmentation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

VR Live Motion Capture.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

2019
Slanted Stixels: A Way to Represent Steep Streets.
Int. J. Comput. Vis., 2019

2018
The Stixel world - A comprehensive representation of traffic scenes for autonomous driving.
Autom., 2018

MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017
The Stixel World: A medium-level representation of traffic scenes.
Image Vis. Comput., 2017

Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object Detection.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Slanted Stixels: Representing San Francisco's Steepest Streets.
Proceedings of the British Machine Vision Conference 2017, 2017

Sparsity Invariant CNNs.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Semantic Stixels: Depth is not enough.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Semantically Guided Depth Upsampling.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

2014
Object-Level Priors for Stixel Generation.
Proceedings of the Pattern Recognition - 36th German Conference, 2014


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