Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Quantile Surfaces -- Generalizing Quantile Regression to Multivariate Targets

Sep 29, 2020
Maarten Bieshaar, Jens Schreiber, Stephan Vogt, Andr├ę Gensler, Bernhard Sick

* Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), currently under review, 15 page, 23 figures, 2 tables 

  Access Paper or Ask Questions

Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary

Sep 29, 2020
Adrian Englhardt, Holger Trittenbach, Daniel Kottke, Bernhard Sick, Klemens B├Âhm


  Access Paper or Ask Questions

Off-the-shelf sensor vs. experimental radar -- How much resolution is necessary in automotive radar classification?

Jun 09, 2020
Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, J├╝rgen Dickmann, Bernhard Sick

* Accepted @ 23rd International Conference on Information Fusion (FUSION) 

  Access Paper or Ask Questions

Toward Optimal Probabilistic Active Learning Using a Bayesian Approach

Jun 02, 2020
Daniel Kottke, Marek Herde, Christoph Sandrock, Denis Huseljic, Georg Krempl, Bernhard Sick

* 11 pages, 8 figures, appendix 

  Access Paper or Ask Questions

Emerging Relation Network and Task Embedding for Multi-Task Regression Problems

Apr 29, 2020
Jens Schreiber, Bernhard Sick

* 8 pages;2 tables;5 figures 

  Access Paper or Ask Questions

Extended Coopetitive Soft Gating Ensemble

Apr 29, 2020
Stephan Deist, Jens Schreiber, Maarten Bieshaar, Bernhard Sick

* 14 pages; 15 figures; 10 tables 

  Access Paper or Ask Questions

Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning

Feb 19, 2020
Christian Haase-Sch├╝tz, Rainer Stal, Heinz Hertlein, Bernhard Sick


  Access Paper or Ask Questions

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

Dec 13, 2019
Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, J├╝rgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide

* First three authors contributed equally 

  Access Paper or Ask Questions

A Multi-Stage Clustering Framework for Automotive Radar Data

Jul 08, 2019
Nicolas Scheiner, Nils Appenrodt, J├╝rgen Dickmann, Bernhard Sick

* 8 pages, 5 figures, accepted paper for 2019 IEEE 22nd Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, October 2019 

  Access Paper or Ask Questions

Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices

Jun 03, 2019
Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, J├╝rgen Dickmann, Martin Fritzsche, Bernhard Sick

* 10 pages, 9 figures, accepted paper for 2019 20th International Radar Symposium (IRS), Ulm, Germany, June 2019. arXiv admin note: text overlap with arXiv:1905.11219 

  Access Paper or Ask Questions

Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic

Jun 03, 2019
Jens Schreiber, Maik Jessulat, Bernhard Sick


  Access Paper or Ask Questions

Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models

May 31, 2019
Jens Schreiber, Artjom Buschin, Bernhard Sick


  Access Paper or Ask Questions

Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles

May 28, 2019
Nicolas Scheiner, Nils Appenrodt, J├╝rgen Dickmann, Bernhard Sick

* 8 pages, 9 figures, accepted paper for 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, June 2019 

  Access Paper or Ask Questions

Radar-based Feature Design and Multiclass Classification for Road User Recognition

May 27, 2019
Nicolas Scheiner, Nils Appenrodt, J├╝rgen Dickmann, Bernhard Sick

* Published in Proceedings of IEEE Intelligent Vehicles Symposium (IV), Changshu, China, June 2018, pp. 779-786, ISBN: 9781538644522 
* 8 pages, 6 figures 

  Access Paper or Ask Questions

Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS

May 27, 2019
Nicolas Scheiner, Nils Appenrodt, J├╝rgen Dickmann, Bernhard Sick

* Published in Proceedings of IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), Detroit, MI, USA, April 2019, pp. 5-9, ISBN: 978-1-7281-0775-2 
* 5 pages, 5 figures 

  Access Paper or Ask Questions

Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields

May 16, 2019
Tom Hanika, Marek Herde, Jochen Kuhn, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Rei├č, Albrecht Schmidt, Bernhard Sick, Gerd Stumme, Sven Tomforde, Katharina Anna Zweig


  Access Paper or Ask Questions

Limitations of Assessing Active Learning Performance at Runtime

Jan 29, 2019
Daniel Kottke, Jim Schellinger, Denis Huseljic, Bernhard Sick


  Access Paper or Ask Questions

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble

Oct 09, 2018
Maarten Bieshaar, Stefan Zernetsch, Andreas Hubert, Bernhard Sick, Konrad Doll

* IEEE Transactions on Intelligent Vehicles 3 (2018), Nr. 4 
* 10 Pages, 22 figures, accepted for Special Issue of IEEE Transactions on Intelligent Vehicles 

  Access Paper or Ask Questions

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence

Sep 11, 2018
Maarten Bieshaar, G├╝nther Reitberger, Stefan Zernetsch, Bernhard Sick, Erich Fuchs, Konrad Doll

* 20 pages, published at Automatisiertes und vernetztes Fahren (AAET), Braunschweig, Germany, 2017 

  Access Paper or Ask Questions

Coopetitive Soft Gating Ensemble

Aug 16, 2018
Stephan Deist, Maarten Bieshaar, Jens Schreiber, Andre Gensler, Bernhard Sick

* 8 pages, 10 figures, 4 tables, submitted (accepted for publication) - SISSY 2018 - Workshop on Self-Improving System Integration at IEEE ICAC/ SASO 2018 

  Access Paper or Ask Questions

Quantifying the Influences on Probabilistic Wind Power Forecasts

Aug 14, 2018
Jens Schreiber, Bernhard Sick

* 5 pages; 1 table; 3 figures; This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

  Access Paper or Ask Questions

Starting Movement Detection of Cyclists Using Smart Devices

Aug 08, 2018
Maarten Bieshaar, Malte Depping, Jan Schneegans, Bernhard Sick

* 10 pages, accepted for publication at DSAA 2018, Turin, Italy 

  Access Paper or Ask Questions

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure

Jul 03, 2018
G├╝nther Reitberger, Stefan Zernetsch, Maarten Bieshaar, Bernhard Sick, Konrad Doll, Erich Fuchs

* 7 pages, 6 figures. submitted (accepted for publication) IEEE Conference on Intelligent Transportation Systems(ITSC) 2018, Maui, HI 

  Access Paper or Ask Questions

A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application to Power Forecasting for Renewable Energy Generation

Mar 16, 2018
Andr├ę Gensler, Bernhard Sick


  Access Paper or Ask Questions

Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning

Mar 09, 2018
Michael Goldhammer, Sebastian K├Âhler, Stefan Zernetsch, Konrad Doll, Bernhard Sick, Klaus Dietmayer


  Access Paper or Ask Questions

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users

Mar 09, 2018
Maarten Bieshaar, G├╝nther Reitberger, Viktor Kre├č, Stefan Zernetsch, Konrad Doll, Erich Fuchs, Bernhard Sick

* published in ACM Chapters Computer Science in Cars Symposium (CSCS-17). Munich, Germany. 2017 
* 4 pages, 1 figure 

  Access Paper or Ask Questions

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network

Mar 06, 2018
Stefan Zernetsch, Viktor Kress, Bernhard Sick, Konrad Doll


  Access Paper or Ask Questions

Self-Adaptation of Activity Recognition Systems to New Sensors

Jan 30, 2017
David Bannach, Martin J├Ąnicke, Vitor F. Rey, Sven Tomforde, Bernhard Sick, Paul Lukowicz

* 26 pages, very descriptive figures, comprehensive evaluation on real-life datasets 

  Access Paper or Ask Questions