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2020 – today
- 2024
[i5]Markus Hiller
, Krista A. Ehinger, Tom Drummond:
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers. CoRR abs/2402.12138 (2024)- 2023
- [j1]Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour, Rongkai Ma, Tom Drummond, Ian D. Reid, Hamid Rezatofighi:
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12783-12797 (2023) - 2022
- [c13]Markus Hiller, Mehrtash Harandi, Tom Drummond:
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. NeurIPS 2022 - [c12]Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Rethinking Generalization in Few-Shot Classification. NeurIPS 2022 - [i4]Markus Hiller, Mehrtash Harandi, Tom Drummond:
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation. CoRR abs/2206.07260 (2022) - [i3]Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond:
Rethinking Generalization in Few-Shot Classification. CoRR abs/2206.07267 (2022) - 2021
- [i2]Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour, Rongkai Ma, Tom Drummond, Hamid Rezatofighi:
Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers. CoRR abs/2103.14829 (2021) - 2020
- [i1]Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke:
Learning Topometric Semantic Maps from Occupancy Grids. CoRR abs/2001.03676 (2020)
2010 – 2019
- 2019
- [c11]Andreas Blank, Markus Hiller, Siyi Zhang, Alexander Leser, Maximilian Metzner, Markus Lieret, Jörn Thielecke, Jörg Franke:
6DoF Pose-Estimation Pipeline for Texture-less Industrial Components in Bin Picking Applications. ECMR 2019: 1-7 - [c10]Julian Smith, Florian Particke, Markus Hiller, Jörn Thielecke:
Systematic Analysis of the PMBM, PHD, JPDA and GNN Multi-Target Tracking Filters. FUSION 2019: 1-8 - [c9]Ahmad Amin Kharboutli, Markus Hiller, Florian Particke, Thorsten Nowak, Jörn Thielecke, Markus Hartmann:
Efficient Localization Using Radio-Based Sensors and Odometry. IRC 2019: 240-245 - [c8]Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke:
Learning Topometric Semantic Maps from Occupancy Grids. IROS 2019: 4190-4197 - [c7]Florian Particke, Jiaren Zhou, Markus Hiller, Christian Hofmann, Jörn Thielecke:
Neural Network Aided Potential Field Approach For Pedestrian Prediction. SDF 2019: 1-6 - [c6]Christian Hofmann, Florian Particke, Markus Hiller, Jörn Thielecke:
Object Detection, Classification and Localization by Infrastructural Stereo Cameras. VISIGRAPP (5: VISAPP) 2019: 808-815 - [c5]Adam Kalisz, Florian Particke, Dominik Penk, Markus Hiller, Jörn Thielecke:
B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender. VISIGRAPP (5: VISAPP) 2019: 816-823 - 2018
- [c4]Florian Particke, Adam Kalisz, Christian Hofmann, Markus Hiller, Henrik Bey, Jörn Thielecke:
Systematic Analysis of Direct Sparse Odometry. DICTA 2018: 1-6 - [c3]Florian Particke, Christian Hofmann, Markus Hiller, Henrik Bey, Christian Feist, Jörn Thielecke:
Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter. FUSION 2018: 610-616 - [c2]Florian Particke, Markus Hiller, Christian Feist, Jörn Thielecke:
Improvements in pedestrian movement prediction by considering multiple intentions in a Multi-Hypotheses filter. PLANS 2018: 209-212 - 2017
- [c1]Florian Particke, Markus Hiller, Lucila Patino-Studencki, Christoph Sippl, Christian Feist, Jörn Thielecke:
Multiple intention tracking by a generalizec potential field approach. SDF 2017: 1-5
Coauthor Index
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