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ORCIDConstantin Patsch
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2020 – today
- 2024
[j2]Constantin Patsch
, Yuankai Wu, Driton Salihu, Marsil Zakour, Eckehard G. Steinbach:
TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation. IEEE Robotics Autom. Lett. 9(9): 7485-7492 (2024)- [j1]Hongjun Wu, Chenxi Wang, Luwei Tu, Constantin Patsch, Zhi Jin:
CSPN: A Category-Specific Processing Network for Low-Light Image Enhancement. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11929-11941 (2024) - [c10]Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Eckehard G. Steinbach:
NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction. ICASSP 2024: 2865-2869 - [c9]Constantin Patsch, Jinghan Zhang, Yuankai Wu, Marsil Zakour, Driton Salihu, Eckehard G. Steinbach:
Long-Term Action Anticipation Based on Contextual Alignment. ICASSP 2024: 5920-5924 - [c8]Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Fabián Seguel, Eckehard G. Steinbach:
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation. ICLR 2024 - [c7]Constantin Patsch, Wael Torjmene, Marsil Zakour, Yuankai Wu, Driton Salihu, Eckehard G. Steinbach:
Sim-to-Real Domain Shift in Online Action Detection. IROS 2024: 388-394 - [c6]Yuankai Wu, Chi Wang, Driton Salihu, Constantin Patsch, Marsil Zakour, Eckehard G. Steinbach:
Rethinking 3D Geometric Object Features for Enhancing Skeleton-based Action Recognition. IROS 2024: 5032-5039 - [c5]Yuankai Wu, Rayene Messaoud, Arne-Christoph Hildebrandt, Marco Baldini, Driton Salihu, Constantin Patsch, Eckehard G. Steinbach:
Enhanced Robotic Assistance for Human Activities through Human-Object Interaction Segment Prediction. IROS 2024: 11523-11529 - [i1]Marsil Zakour, Partha Pratim Nath, Ludwig Lohmer, Emre Faik Gökçe, Martin Piccolrovazzi, Constantin Patsch, Yuankai Wu, Rahul Gopal Chaudhari, Eckehard G. Steinbach:
ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living. CoRR abs/2402.17758 (2024) - 2023
- [c4]David Bethge, Constantin Patsch, Philipp Hallgarten, Thomas Kosch:
Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams. CHI Extended Abstracts 2023: 186:1-186:9 - [c3]Constantin Patsch, Eckehard G. Steinbach:
Self-Attention Based Action Segmentation Using Intra-And Inter-Segment Representations. ICASSP 2023: 1-5 - [c2]Yuankai Wu, Xin Su, Driton Salihu, Hao Xing, Marsil Zakour, Constantin Patsch:
Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection. IROS 2023: 6719-6726 - 2022
- [c1]Constantin Patsch, Marsil Zakour, Rahul Gopal Chaudhari:
Automatic Recognition of Human Activities Combining Model-based AI and Machine Learning. ICAART (3) 2022: 15-22
Coauthor Index
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