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Andreas Specker
Andreas Specker
iosb.fraunhofer.de의 이메일 확인됨
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The mta dataset for multi-target multi-camera pedestrian tracking by weighted distance aggregation
P Kohl, A Specker, A Schumann, J Beyerer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
452020
An occlusion-aware multi-target multi-camera tracking system
A Specker, D Stadler, L Florin, J Beyerer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
412021
Attribute-based person retrieval and search in video sequences
A Schumann, A Specker, J Beyerer
2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018
282018
Upar: Unified pedestrian attribute recognition and person retrieval
A Specker, M Cormier, J Beyerer
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
232023
Where are we with human pose estimation in real-world surveillance?
M Cormier, A Clepe, A Specker, J Beyerer
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
232022
Improving multi-target multi-camera tracking by track refinement and completion
A Specker, L Florin, M Cormier, J Beyerer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
182022
An evaluation of design choices for pedestrian attribute recognition in video
A Specker, A Schumann, J Beyerer
2020 IEEE International Conference on Image Processing (ICIP), 2331-2335, 2020
132020
Large scale vehicle re-identification by knowledge transfer from simulated data and temporal attention
V Eckstein, A Schumann, A Specker
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
122020
Improving attribute-based person retrieval by using a calibrated, weighted, and distribution-based distance metric
A Specker, J Beyerer
2021 IEEE International Conference on Image Processing (ICIP), 2378-2382, 2021
92021
A study of person re-identification design characteristics for aerial data
L Moritz, A Specker, A Schumann
Pattern Recognition and Tracking XXXII 11735, 161-175, 2021
92021
UPAR Challenge: Pedestrian Attribute Recognition and Attribute-Based Person Retrieval--Dataset, Design, and Results
M Cormier, A Specker, J Junior, CS Jacques, L Florin, J Metzler, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
82023
Fast and lightweight online person search for large-scale surveillance systems
A Specker, L Moritz, M Cormier, J Beyerer
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
82022
A multitask model for person re-identification and attribute recognition using semantic regions
A Specker, A Schumann, J Beyerer
Artificial Intelligence and Machine Learning in Defense Applications II …, 2020
82020
An interactive framework for cross-modal attribute-based person retrieval
A Specker, A Schumann, J Beyerer
2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019
62019
Hardness prediction for more reliable attribute-based person re-identification
L Florin, A Specker, A Schumann, J Beyerer
2021 IEEE 4th International Conference on Multimedia Information Processing …, 2021
52021
ReidTrack: Reid-only multi-target multi-camera tracking
A Specker, J Beyerer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Balanced pedestrian attribute recognition for improved attribute-based person retrieval
A Specker, J Beyerer
2023 IEEE 13th International Conference on Pattern Recognition Systems …, 2023
32023
Toward accurate online multi-target multi-camera tracking in real-time
A Specker, J Beyerer
2022 30th European Signal Processing Conference (EUSIPCO), 533-537, 2022
32022
Deep learning based person search in aerial imagery
L Sommer, A Specker, A Schumann
Automatic Target Recognition XXXI 11729, 207-220, 2021
32021
UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-based Person Retrieval-Dataset, Design, and Results
M Cormier, A Specker, J Junior, CS Jacques, L Moritz, J Metzler, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
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