Multiple intention tracking by a generalizec potential field approach. - Florian Particke; Markus Hiller; Lucila Patino-Studencki; Christoph Sippl; Christian Feist; Jörn Thielecke (SDF, 2017)

Systematic Analysis of Direct Sparse Odometry. - Florian Particke; Adam Kalisz; Christian Hofmann; Markus Hiller; Henrik Bey; Jörn Thielecke (DICTA, 2018)

Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter. - Florian Particke; Christian Hofmann; Markus Hiller; Henrik Bey; Christian Feist; Jörn Thielecke (FUSION, 2018)

Improvements in pedestrian movement prediction by considering multiple intentions in a Multi-Hypotheses filter. - Florian Particke; Markus Hiller; Christian Feist; Jörn Thielecke (PLANS, 2018)

6DoF Pose-Estimation Pipeline for Texture-less Industrial Components in Bin Picking Applications. - Andreas Blank; Markus Hiller; Siyi Zhang 002; Alexander Leser; Maximilian Metzner; Markus Lieret; Jörn Thielecke; Jörg Franke (ECMR, 2019)

Systematic Analysis of the PMBM, PHD, JPDA and GNN Multi-Target Tracking Filters. - Julian Smith; Florian Particke; Markus Hiller; Jörn Thielecke (FUSION, 2019)

Efficient Localization Using Radio-Based Sensors and Odometry. - Ahmad Amin Kharboutli; Markus Hiller; Florian Particke; Thorsten Nowak; Jörn Thielecke; Markus Hartmann (IRC, 2019)

Learning Topometric Semantic Maps from Occupancy Grids. - Markus Hiller; Chen Qiu 001; Florian Particke; Christian Hofmann; Jörn Thielecke (IROS, 2019)

Neural Network Aided Potential Field Approach For Pedestrian Prediction. - Florian Particke; Jiaren Zhou; Markus Hiller; Christian Hofmann; Jörn Thielecke (SDF, 2019)

Object Detection, Classification and Localization by Infrastructural Stereo Cameras. - Christian Hofmann; Florian Particke; Markus Hiller; Jörn Thielecke (VISIGRAPP (5: VISAPP), 2019)

B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender. - Adam Kalisz; Florian Particke; Dominik Penk; Markus Hiller; Jörn Thielecke (VISIGRAPP (5: VISAPP), 2019)

Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. - Tianyu Zhu 001; Markus Hiller; Mahsa Ehsanpour; Rongkai Ma; Tom Drummond; Hamid Rezatofighi (CoRR, 2021)

On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. - Markus Hiller; Mehrtash Harandi; Tom Drummond (NeurIPS, 2022)

Rethinking Generalization in Few-Shot Classification. - Markus Hiller; Rongkai Ma; Mehrtash Harandi; Tom Drummond (NeurIPS, 2022)

Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. - Tianyu Zhu 001; Markus Hiller; Mahsa Ehsanpour; Rongkai Ma; Tom Drummond; Ian D. Reid 001; Hamid Rezatofighi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers. - Markus Hiller; Krista A. Ehinger; Tom Drummond (NeurIPS, 2024)