Super-Selfish: Self-Supervised Learning on Images with PyTorch. - Nicolas Wagner 001; Anirban Mukhopadhyay 003 (CoRR, 2020)

NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression. - Nicolas Wagner 001; Ulrich Schwanecke (CoRR, 2020)

Scalable 3D Semantic Segmentation for Gun Detection in CT Scans. - Marius Memmel; Christoph Reich; Nicolas Wagner 001; Faraz Saeedan (CoRR, 2021)

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation. - Sophie Burkhardt; Jannis Brugger; Nicolas Wagner 001; Zahra Ahmadi; Kristian Kersting; Stefan Kramer 001 (Frontiers Artif. Intell., 2021)

Federated Stain Normalization for Computational Pathology. - Nicolas Wagner 001; Moritz Fuchs; Yuri Tolkach; Anirban Mukhopadhyay 003 (MICCAI (2), 2022)

NeuralQAAD: An Efficient Differentiable Framework for Compressing High Resolution Consistent Point Clouds Datasets. - Nicolas Wagner 001; Ulrich Schwanecke (VISIGRAPP (4: VISAPP), 2022)

Neural Volumetric Blendshapes: Computationally Efficient Physics-Based Facial Blendshapes. - Nicolas Wagner 001; Ulrich Schwanecke; Mario Botsch (CoRR, 2022)

SoftDECA: Computationally Efficient Physics-Based Facial Animations. - Nicolas Wagner 001; Mario Botsch; Ulrich Schwanecke (MIG, 2023)

SparseSoftDECA - Efficient high-resolution physics-based facial animation from sparse landmarks. - Nicolas Wagner 001; Ulrich Schwanecke; Mario Botsch (Comput. Graph., 2024)

AnaConDaR: Anatomically-Constrained Data-Adaptive Facial Retargeting. - Nicolas Wagner 001; Ulrich Schwanecke; Mario Botsch (Comput. Graph., 2024)

NePHIM: A Neural Physics-Based Head-Hand Interaction Model. - Nicolas Wagner 001; Ulrich Schwanecke; Mario Botsch (Comput. Graph. Forum, 2025)