Automatic Recognition of Human Activities Combining Model-based AI and Machine Learning. - Constantin Patsch; Marsil Zakour; Rahul Gopal Chaudhari (ICAART (3), 2022)

Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams. - David Bethge; Constantin Patsch; Philipp Hallgarten; Thomas Kosch (CHI Extended Abstracts, 2023)

Self-Attention Based Action Segmentation Using Intra-And Inter-Segment Representations. - Constantin Patsch; Eckehard G. Steinbach (ICASSP, 2023)

Modeling Action Spatiotemporal Relationships Using Graph-Based Class-Level Attention Network for Long-Term Action Detection. - Yuankai Wu; Xin Su; Driton Salihu; Hao Xing; Marsil Zakour; Constantin Patsch (IROS, 2023)

Long-Term Action Anticipation Based on Contextual Alignment. - Constantin Patsch; Jinghan Zhang 009; Yuankai Wu; Marsil Zakour; Driton Salihu; Eckehard G. Steinbach (ICASSP, 2024)

NPRF: Neural Painted Radiosity Fields for Neural Implicit Rendering and Surface Reconstruction. - Driton Salihu; Adam Misik; Yuankai Wu; Constantin Patsch; Eckehard G. Steinbach (ICASSP, 2024)

DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation. - Driton Salihu; Adam Misik; Yuankai Wu; Constantin Patsch; Fabián Seguel; Eckehard G. Steinbach (ICLR, 2024)

Sim-to-Real Domain Shift in Online Action Detection. - Constantin Patsch; Wael Torjmene; Marsil Zakour; Yuankai Wu; Driton Salihu; Eckehard G. Steinbach (IROS, 2024)

Enhanced Robotic Assistance for Human Activities through Human-Object Interaction Segment Prediction. - Yuankai Wu; Rayene Messaoud; Arne-Christoph Hildebrandt; Marco Baldini; Driton Salihu; Constantin Patsch; Eckehard G. Steinbach (IROS, 2024)

Rethinking 3D Geometric Object Features for Enhancing Skeleton-based Action Recognition. - Yuankai Wu; Chi Wang; Driton Salihu; Constantin Patsch; Marsil Zakour; Eckehard G. Steinbach (IROS, 2024)

ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living. - Marsil Zakour; Partha Pratim Nath; Ludwig Lohmer; Emre Faik Gökçe; Martin Piccolrovazzi; Constantin Patsch; Yuankai Wu; Rahul Gopal Chaudhari; Eckehard G. Steinbach (CoRR, 2024)

TSCL: Timestamp Supervised Contrastive Learning for Action Segmentation. - Constantin Patsch; Yuankai Wu; Driton Salihu; Marsil Zakour; Eckehard G. Steinbach (IEEE Robotics Autom. Lett., 2024)

CSPN: A Category-Specific Processing Network for Low-Light Image Enhancement. - Hongjun Wu 003; Chenxi Wang; Luwei Tu; Constantin Patsch; Zhi Jin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Watch and Learn: Leveraging Expert Knowledge and Language for Surgical Video Understanding. - David Gastager; Ghazal Ghazaei; Constantin Patsch (CoRR, 2025)

Technical Report for Egocentric Mistake Detection for the HoloAssist Challenge. - Constantin Patsch; Marsil Zakour; Yuankai Wu; Eckehard G. Steinbach (CoRR, 2025)

Outside Knowledge Conversational Video (OKCV) Dataset - Dialoguing over Videos. - Benjamin Z. Reichman; Constantin Patsch; Jack Truxal; Atishay Jain; Larry Heck (CoRR, 2025)