Publications

2024

Nils Walter, Jonas Fischer, and Jilles Vreeken. Finding Interpretable Class-Specific Patterns through Efficient Neural Search. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Conference Publication F

Sascha Xu, Nils Walter, Janis Kalofalias, and Jilles Vreeken. Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence. Proceedings of the International Conference on Machine Learning (ICML). Conference Publication F

Tom Fischer, Pascal Peter, Joachim Weickert, and Eddy Ilg. Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. Proceedings of the 41th International Conference on Machine Learning (ICML). Conference Publication V F

Michael Backenköhler, Joschka Groß, Verena Wolf, and Andrea Volkamer. Guided Docking as a Data Generation Approach Facilitates Structure-Based Machine Learning on Kinases. Journal of Chemical Information and Modeling. Journal Publication A

Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, and Bernt Schiele. Good Teachers Explain: Explanation-Enhanced Knowledge Distillation. European Conference on Computer Vision. Conference Publication V

Sukrut Rao, Sweta Mahajan, Moritz Böhle, and Bernt Schiele. Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. European Conference on Computer Vision. Conference Publication V

Katharina Stein, Daniel Fiser, Jörg Hoffmann, and Alexander Koller. Automating the Generation of Prompts for LLM-based Action Choice in PDDL Planning. ICAPS Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL). Conference Publication L A

Matthias Lindemann, Alexander Koller, and Ivan Titov. Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation. Proceedings of ACL. Conference Publication L

Yuekun Yao and Alexander Koller. Simple and effective data augmentation for compositional generalization. Proceedings of NAACL. Conference Publication L

Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, and Tushar Khot. ADaPT: As-Needed Decomposition and Planning with Language Models. Findings of NAACL. Conference Publication L

Marcel Lukas Vinzent and Jörg Hoffmann. Neural Action Policy Safety Verification: Applicability Filtering. Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS). Conference Publication A

Jan Eisenhut, Xandra Schuler, Daniel Fiser, Daniel Höller, Maria Christakis, and Jörg Hoffmann. New Fuzzing Biases for Action Policy Testing. Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS). Conference Publication A

2023

Pascal Peter. Generalised Probabilistic Diffusion Scale-Spaces. ArXiv preprint 2309.08511. Unreviewed preprint F

Pascal Peter. Generalised Scale-Space Properties for Probabilistic Diffusion Models. ArXiv preprint 2303.07900. Unreviewed preprint F

Karl Schrader, Joachim Weickert, and Michael Krause. Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations. ArXiv preprint 2309.05575. Unreviewed preprint F

Pascal Peter, Karl Schrader, Tobias Alt, and Joachim Weickert. Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Anal. Appl.. Journal Publication F

Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, and Bernt Schiele. Studying How to Efficiently and Effectively Guide Models with Explanations. 2023 IEEE/CVF International Conference on Computer Vision (ICCV). Conference Publication V

Timo P. Gros, Joschka Groß, Daniel Höller, Jörg Hoffmann, Michaela Klauck, Hendrik Meerkamp, Nicola J. Müller, Lukas Schaller, and Verena Wolf. DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning - Extended Version. {ACM} Trans. Model. Comput. Simul.. Journal Publication A

Timo P. Gros, Holger Hermanns, Jörg Hoffmann, Michaela Klauck, and Marcel Steinmetz. Analyzing neural network behavior through deep statistical model checking. Int. J. Softw. Tools Technol. Transf.. Journal Publication A

Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, and Najoung Kim. SLOG: A Structural Generalization Benchmark for Semantic Parsing. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). Conference Publication L

Xudong Hong, Asad Sayeed, Khushboo Mehra, Vera Demberg, and Bernt Schiele. Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences. Transactions of the Association for Computational Linguistics. Journal Publication L V

Marcel Lukas Vinzent, Siddhant Sharma, and Jörg Hoffmann. Neural Policy Safety Verification via Predicate Abstraction: CEGAR. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI). Conference Publication A

Jan Eisenhut, Alvaro Torralba, Maria Christakis, and Jörg Hoffmann. Automatic Metamorphic Test Oracles for Action-Policy Testing. Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS). Conference Publication A

Matthias Lindemann, Alexander Koller, and Ivan Titov. Compositional Generalisation with Structured Reordering and Fertility Layers. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Conference Publication L

Matthias Lindemann, Alexander Koller, and Ivan Titov. Compositional Generalization without Trees using Multiset Tagging and Latent Permutations. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL). Conference Publication L trophy Outstanding paper award

Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, and Christian Theobalt. MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis. Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Fangneng Zhan, Lingjie Liu, Adam Kortylewski, and Christian Theobalt. General Neural Gauge Fields. International Conference on Learning Representations. Conference Publication V

Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, and Philipp Slusallek. IMoS: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions. Eurographics. Conference Publication V A

Jiayi Wang, Diogo Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, and Christian Theobalt. HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow. Vision, Modeling, and Visualization. Conference Publication V

Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, and Dahua Lin. Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction. Proc. ICLR. Conference Publication V

Khai Loong Aw and Mariya Toneva. Training language models for deeper understanding improves brain alignment. International Conference on Learning Representations (ICLR). Conference Publication L

David Kaltenpoth and Jilles Vreeken. Nonlinear Causal Discovery with Latent Confounders. Proceedings of the International Conference on Machine Learning (ICML). Conference Publication F

Osman Mian, David Kaltenpoth, Michael Kamp, and Jilles Vreeken. Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. Proceedings of the AAAI Conference on Artificial Intelligence. Conference Publication F

Michael Kamp, Jonas Fischer, and Jilles Vreeken. Federated Learning from Small Datasets. Proceedings of the International Conference on Representation Learning (ICLR). Conference Publication F

Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler, and Verena Wolf. Unsupervised relational inference using masked reconstruction. Applied Network Science. Journal Publication A

Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, and Joachim Weickert. Connections Between Numerical Algorithms for PDEs and Neural Networks. Journal of Mathematical Imaging and Vision. Journal Publication F

Karl Schrader, Pascal Peter, Niklas Kämper, and Joachim Weickert. Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. ArXiv preprint 2303.10096. Unreviewed preprint F

2022

Pascal Peter. A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation. Image and Video Technology - 10th Pacific-Rim Symposium, PSIVT 2022, Virtual Event, November 12-14, 2022, Proceedings. Conference Publication F

Ernie Chang, Alex Marin, and Vera Demberg. Programmable Annotation with Diversed Heuristics and Data Denoising. Proceedings of the 29th International Conference on Computational Linguistics. Conference Publication L

Hasan Ferit Eniser, Timo P. Gros, Valentin Wüstholz, Jörg Hoffmann, and Maria Christakis. Metamorphic Relations via Relaxations: An Approach to Obtain Oracles for Action-Policy Testing. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA). Conference Publication A

Patrick Ferber, Florian Geißer, Felipe Trevizan, Malte Helmert, and Jörg Hoffmann. Neural Network Heuristic Functions for Classical Planning: Bootstrapping and Comparison to Other Methods. Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS). Conference Publication A

Timo P. Gros, Holger Hermanns, Jörg Hoffmann, Michaela Klauck, Maximilian Köhl, and Verena Wolf. MoGym: Using Formal Models for Training and Verifying Decision-making Agents. Computer Aided Verification. Conference Publication A

Marcel Steinmetz, Daniel Fiser, Hasan Ferit Eniser, Patrick Ferber, Timo P. Gros, Philippe Heim, Daniel Höller, Xandra Schuler, Valentin Wüstholz, Maria Christakis, and Jörg Hoffmann. Debugging a Policy: Automatic Action-Policy Testing in AI Planning. Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS). Conference Publication A

Marcel Lukas Vinzent, Marcel Steinmetz, and Jörg Hoffmann. Neural Network Action Policy Verification via Predicate Abstraction. Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS). Conference Publication A

Samir Aroudj, Steven Lovegrove, Eddy Ilg, Tanner Schmidt, Michael Goesele, and Richard Newcombe. ERF: Explicit Radiance Field Reconstruction From Scratch. ArXiv preprint 2203.00051. Unreviewed preprint V

Michael Hedderich, Jonas Fischer, Dietrich Klakow, and Jilles Vreeken. Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. Proceedings of the International Conference on Machine Learning (ICML). Conference Publication L F

Jesujoba O Alabi, David Ifeoluwa Adelani, Marius Mosbach, and Dietrich Klakow. Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-Tuning. Proceedings of the 29th International Conference on Computational Linguistics. Conference Publication L

Pia Weißenhorn, Lucia Donatelli, and Alexander Koller. Compositional generalization with a broad-coverage semantic parser. Proceedings of the 11th Joint Conference on Lexical and Computational Semantics (*SEM). Conference Publication L

Yuekun Yao and Alexander Koller. Structural generalization is hard for sequence-to-sequence models. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Conference Publication L

Fangzhou Zhai, Vera Demberg, and Alexander Koller. Zero-shot Script Parsing. Proceedings of the 29th International Conference on Computational Linguistics (COLING). Conference Publication L

Moritz Böhle, Mario Fritz, and Bernt Schiele. B-Cos Networks: Alignment Is All We Need for Interpretability. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, and Zeynep Akata. Attribute Prototype Network for Any-Shot Learning. International Journal of Computer Vision. Journal Publication V

Ikhsanul Habibie, Mohamed Elgharib, Kripashindu Sarkar, Ahsan Abdullah, Simbarashe Nyatsanga, Michael Neff, and Christian Theobalt. A Motion Matching-based Framework for Controllable Gesture Synthesis from Speech. SIGGRAPH ’22 Conference Proceedings. Conference Publication V

Navami Kairanda, Edith Tretschk, Mohamed Elgharib, Christian Theobalt, and Vladislav Golyanik. $phi$-SfT: Shape-from-Template with a Physics-Based Deformation Model. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Jiatao Gu, Lingjie Liu, Peng Wang, and Christian Theobalt. StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis. International Conference on Learning Representations. Conference Publication V

Mallikarjun B R, Ayush Tewari, Xingang Pan, Mohamed Elgharib, and Christian Theobalt. gCoRF: Generative Compositional Radiance Fields. . Journal Publication V

Ayush Tewari, MalliKarjun B R, Xingang Pan, Ohad Fried, Maneesh Agrawala, and Christian Theobalt. Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Xingang Pan, Ayush, Tewari, Lingjie Liu, and Christian Theobalt. GAN2X: Non-Lambertian Inverse Rendering of Image GANs. International Conference on 3D Vision (3DV). Conference Publication V

Linjie Lyu, Ayush Tewari, Thomas Leimkuehler, Marc Habermann, and Christian Theobalt. Neural Radiance Transfer Fields for Relightable Novel-view Synthesis with Global Illumination. ECCV. Conference Publication V

Mariya Toneva, Tom M Mitchell, and Leila Wehbe. Combining computational controls with natural text reveals aspects of meaning composition. Nature Computational Science. Journal Publication L

Adri'an Javaloy and Isabel Valera. Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning. International Conference on Learning Representations (ICLR). Conference Publication F

Adri'an Javaloy, Maryam Meghdadi, and Isabel Valera. Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. Proceedings of the International Conference on Machine Learning (ICML). Conference Publication F

Sebastian Dalleiger and Jilles Vreeken. Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent. Proceedings of Neural Information Processing Systems (NeurIPS). Conference Publication F

Michael Hedderich, Jonas Fischer, Dietrich Klakow, and Jilles Vreeken. Label-Descriptive Patterns and their Application to Characterizing Classification Errors. Proceedings of the International Conference on Machine Learning (ICML). Conference Publication L F

Sarah Mameche, David Kaltenpoth, and Jilles Vreeken. Discovering Invariant and Changing Mechanisms from Data. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Conference Publication F

Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, and Joachim Weickert. Connections between Numerical Algorithms for PDEs and Neural Networks. Journal of Mathematical Imaging and Vision. Journal Publication F

Karl Schrader, Tobias Alt, Joachim Weickert, and Michael Ertel. CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. 10th European Workshop on Visual Information Processing, EUVIP 2022, Lisbon, Portugal, September 11-14, 2022. Conference Publication F

Tobias Alt, Pascal Peter, and Joachim Weickert. Learning Sparse Masks for Diffusion-Based Image Inpainting. Pattern Recognition and Image Analysis - 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings. Conference Publication F

2021

Ernie Chang, Vera Demberg, and Alex Marin. Jointly improving language understanding and language generation with quality-weighted weak supervision of automatic labeling. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Conference Publication L

Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, and Hui Su. Neural data-to-text generation with LM-based text augmentation. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL). Conference Publication L

Timo P. Gros, Daniel Höller, Jörg Hoffmann, Michaela Klauck, Hendrik Meerkamp, and Verena Wolf. DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning. Quantitative Evaluation of Systems. Conference Publication A

Marius Mosbach, Maksym Andriushchenko, and Dietrich Klakow. On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines. International Conference on Learning Representations. Conference Publication L

Lucia Donatelli, Theresa Schmidt, Debanjali Biswas, Arne Köhn, Fangzhou Zhai, and Alexander Koller. Aligning Actions Across Recipe Graphs. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Conference Publication L

Jonas Groschwitz, Meaghan Fowlie, and Alexander Koller. Learning compositional structures for semantic graph parsing. Proceedings of the 5th Workshop on Structured Prediction for NLP (SPNLP). Conference Publication L

Moritz Boehle, Mario Fritz, and Bernt Schiele. Convolutional dynamic alignment networks for interpretable classifications. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Max Maria Losch, Mario Fritz, and Bernt Schiele. Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. International Journal of Computer Vision. Journal Publication V

Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Lingjie Liu, Hans-Peter Seidel, Gerard Pons-Moll, Mohamed Elgharib, and Christian Theobalt. Learning Speech-driven 3D Conversational Gestures from Video. ACM International Conference on Intelligent Virtual Agents (IVA). Conference Publication V

Lingjie Liu, Marc Habermann, Viktor Rudnev, Kripasindhu Sarkar, Jiatao Gu, and Christian Theobalt. Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control. Transactions on Graphics (TOG). Journal Publication V

B R Mallikarjun, Ayush Tewari, Hans-Peter Seidel, Mohamed Elgharib, and Christian Theobalt. Learning Complete 3D Morphable Face Models from Images and Videos. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Soshi Shimada, Vladislav Golyanik, Weipeng Xu, Patrick P'erez, and Christian Theobalt. Neural Monocular 3D Human Motion Capture with Physical Awareness. ACM Transactions on Graphics (TOG). Journal Publication V

Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication V

Marc Habermann, Lingjie Liu, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, and Christian Theobalt. Real-time Deep Dynamic Characters. ACM Transactions on Graphics. Journal Publication V

Xingang Pan, Xudong Xu, Chen Change Loy, Christian Theobalt, and Bo Dai. A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication V

Linjie Lyu, Marc Habermann, Lingjie Liu, Mallikarjun B R, Ayush Tewari, and Christian Theobalt. Efficient and Differentiable Shadow Computation for Inverse Problems. IEEE International Conference on Computer Vision (ICCV). Conference Publication V

A.-H. Karimi, B. Schölkopf, and I. Valera. Algorithmic Recourse: from Counterfactual Explanations to Interventions. . Journal Publication F

Jonas Fischer and Jilles Vreeken. Differentiable Pattern Set Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). Conference Publication F

Jonas Fischer, Anna Ol'ah, and Jilles Vreeken. What's in the Box? Explaining Neural Networks with Robust Rules. Proceedings of the International Conference on Machine Learning (ICML). Conference Publication F

Michael Backenköhler, Luca Bortolussi, Gerrit Großmann, and Verena Wolf. Abstraction-guided truncations for stationary distributions of Markov population models. Quantitative Evaluation of Systems: 18th International Conference, QEST 2021, Paris, France, August 23--27, 2021, Proceedings 18. Conference Publication A

Gerrit Großmann, Julian Zimmerlin, Michael Backenköhler, and Verena Wolf. GINA: Neural Relational Inference From Independent Snapshots. ArXiv preprint arXiv:2105.14329. Unreviewed preprint A

Tobias Alt and Joachim Weickert. Learning integrodifferential models for image denoising. Proceedings of the 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Conference Publication F

2020

Xudong Hong, Rakshith Shetty, Asad Sayeed, Khushboo Mehra, Vera Demberg, and Bernt Schiele. Diverse and relevant visual storytelling with scene graph embeddings. Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL). Conference Publication L V

Fangzhou Zhai, Vera Demberg, and Alexander Koller. Story generation with rich details. Proceedings of the 28th International Conference on Computational Linguistics (COLING). Conference Publication L

Patrick Ferber, Jörg Hoffmann, and Malte Helmert. Neural network heuristics for classical planning: A study of hyperparameter space. Proceedings of the 24th European Conference on Artificial Intelligence (ECAI). Conference Publication A

Timo P. Gros, Holger Hermanns, Jörg Hoffmann, Michaela Klauck, and Marcel Steinmetz. Deep statistical model checking. Formal Techniques for Distributed Objects, Components, and Systems. Conference Publication A

Arne Köhn, Julia Wichlacz, Christine Schäfer, Álvaro Torralba, Jörg Hoffmann, and Alexander Koller. MC-Saar-Instruct: a Platform for Minecraft Instruction Giving Agents. Proceedings of the 21st SIGDIAL (Demo Papers). Conference Publication L A

Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard Newcombe. Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. Computer Vision -- ECCV 2020. Conference Publication V

Wenxin Liu, David Caruso, Eddy Ilg, Jing Dong, Anastasios Mourikis, Kostas Daniilidis, Vijay Kumar, and Jakob Engel. TLIO: Tight Learned Inertial Odometry. IEEE Robotics and Automation Letters (RAL). Conference Publication V

Michael Hedderich, David Adelani, Dawei Zhu, Jesujoba Alabi, Udia Markus, and Dietrich Klakow. Transfer learning and distant supervision for multilingual transformer models: A study on African languages. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Journal Publication L

Marius Mosbach, Anna Khokhlova, Michael Hedderich, and Dietrich Klakow. On the interplay between fine-tuning and sentence-level probing for linguistic knowledge in pre-trained transformers. Findings of the Association for Computational Linguistics: EMNLP 2020. Conference Publication L

Emily M. Bender and Alexander Koller. Climbing towards NLU: On meaning, form, and understanding in the Age of Data. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL). Conference Publication L

Arne Köhn, Julia Wichlacz, Álvaro Torralba, Daniel Höller, Jörg Hoffmann, and Alexander Koller. Generating instructions at different levels of abstraction. Proceedings of the 28th International Conference on Computational Linguistics (COLING). Conference Publication L A

Matthias Lindemann, Jonas Groschwitz, and Alexander Koller. Fast semantic parsing with well-typedness guarantees. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Conference Publication L

Fangzhou Zhai, Vera Demberg, and Alexander Koller. Story generation with rich details. Proceedings of the 28th International Conference on Computational Linguistics (COLING). Conference Publication L

Jiangxin Dong, Stefan Roth, and Bernt Schiele. Deep Wiener deconvolution: Wiener meets Deep Learning for image deblurring. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication V

Xudong Hong, Rakshith Shetty, Asad Sayeed, Khushboo Mehra, Vera Demberg, and Bernt Schiele. Diverse and relevant visual storytelling with scene graph embeddings. Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL). Conference Publication L V

Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, and Gerard Pons-Moll. LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication V

Marc Habermann, Weipeng Xu, Michael Zollhoefer, Gerard Pons-Moll, and Christian Theobalt. DeepCap: Monocular human performance capture using weak supervision. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt. Neural sparse voxel fields. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication V

Abhimitra Meka, Rohit Pandey, Christian Haene, Sergio Orts-Escolano, Peter Barnum, Philip Davidson, Daniel Erickson, Yinda Zhang, Jonathan Taylor, Sofien Bouaziz, Chloe Legendre, Wan-Chun Ma, Ryan Overbeck, Thabo Beeler, Paul Debevec, Shahram Izadi, Christian Theobalt, Christoph Rhemann, and Sean Fanello. Deep Relightable Textures - Volumetric Performance Capture with Neural Rendering. . Conference Publication V

Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, and Christian Theobalt. Neural Re-Rendering of Humans from a Single Image. Computer Vision -- ECCV 2020. Conference Publication V

Soshi Shimada, Vladislav Golyanik, Weipeng Xu, and Christian Theobalt. PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time. ACM Transactions on Graphics (TOG). Journal Publication V

Vikramjit Sidhu, Edgar Tretschk, Vladislav Golyanik, Antonio Agudo, and Christian Theobalt. Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints. Computer Vision -- ECCV 2020. Conference Publication V

Ayush Tewari, Ohad Fried, Justus Thies, Vincent Sitzmann, Stephen Lombardi, Kalyan Sunkavalli, Ricardo Martin-Brualla, Tomas Simon, Jason Saragih, Matthias Nießner, Rohit Pandey, Sean Fanello, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Eli Shechtman, Dan B. Goldman, and Michael Zollhöfer. State of the Art on Neural Rendering. Computer Graphics Forum. Journal Publication V

Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, and Matthias Nießner. Neural Voice Puppetry: Audio-driven Facial Reenactment. Computer Vision -- ECCV 2020. Conference Publication V

Jiayi Wang, Franziska Mueller, Florian Bernard, Suzanne Sorli, Oleksandr Sotnychenko, Neng Qian, Miguel A. Otaduy, Dan Casas, and Christian Theobalt. RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video. ACM Transactions on Graphics (Proc. SIGGRAPH). Journal Publication V

Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, and Christian Theobalt. XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera. Transactions on Graphics (TOG). Conference Publication V

Ye Yu, Abhimetra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, and Will Smith. Self-supervised Outdoor Scene Relighting. Computer Vision -- ECCV 2020. Conference Publication V

Mariya Toneva, Otilia Stretcu, Barnab'as P'oczos, Leila Wehbe, and Tom M Mitchell. Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication L

Amir-Hossein Karimi, Bernhard Schölkopf, and Isabel Valera. Algorithmic recourse: From counterfactual explanations to interventions. ACM Conference on Fairness, Accountability, and Transparency (FAccT). Conference Publication F

Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, and Isabel Valera. Algorithmic recourse under imperfect causal knowledge: A probabilistic approach. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication F

Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, and Isabel Valera. Scaling Guarantees for Nearest Counterfactual Explanations. ArXiv preprint arXiv:2010.04965. Unreviewed preprint F

Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, and Isabel Valera. Handling incomplete heterogeneous data using VAEs. Pattern Recognition. Journal Publication F

Amir-Hossein Karimi, Gilles Barthe, Borja Balle, and Isabel Valera. Model-Agnostic Counterfactual Explanations for Consequential Decisions. Proceedings of the International Conference on Artificial Intelligence and Statistics. Conference Publication F

Chris Sutton, Mario Boley, Luca Ghiringhelli, Matthias Rupp, Jilles Vreeken, and Matthias Scheffler. Identifying Domains of Applicability of Machine Learning Models for Materials Science. Nature Communications. Journal Publication F

Timo P Gros, Daniel Höller, Jörg Hoffmann, and Verena Wolf. Tracking the race between deep reinforcement learning and imitation learning. Quantitative Evaluation of Systems: 17th International Conference, QEST 2020, Vienna, Austria, August 31--September 3, 2020, Proceedings 17. Conference Publication A

Timo P Gros, Joschka Groß, and Verena Wolf. Real-time decision making for a car manufacturing process using deep reinforcement learning. 2020 Winter Simulation Conference (WSC). Conference Publication A

Tobias Alt and Joachim Weickert. Learning a generic adaptive wavelet shrinkage function for denoising. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Conference Publication F

Tobias Alt, Joachim Weickert, and Pascal Peter. Translating Diffusion, Wavelets, and Regularisation into Residual Networks. ArXiv preprint 2002.02753. Unreviewed preprint F

2019

Zhai Fangzhou, Vera Demberg, Pavel Shkadzko, Wei Shi, and Asad Sayeed. A Hybrid Model for Globally Coherent Story Generation. Proceedings of the Second Workshop on Storytelling at ACL 2019. Conference Publication L

Osama Makansi, Eddy Ilg, Özgün Çiçek, and Thomas Brox. Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Matthias Lindemann, Jonas Groschwitz, and Alexander Koller. Compositional semantic parsing across graphbanks. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL). Conference Publication L

Antoine Venant and Alexander Koller. Semantic Expressive Capacity with Bounded Memory. Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL). Conference Publication L

Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, and Christian Theobalt. LiveCap: Real-Time Human Performance Capture From Monocular Video. Transactions on Graphics (TOG). Journal Publication V

Dushyant Mehta, Kwang In Kim, and Christian Theobalt. On Implicit Filter Level Sparsity in Convolutional Neural Networks. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Franziska Mueller, Micah Davis, Florian Bernard, Oleksandr Sotnychenko, Mickeal Verschoor, Miguel A. Otaduy, Dan Casas, and Christian Theobalt. Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera. ACM Transactions on Graphics (TOG). Journal Publication V

Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick P'erez, Michael Zöllhofer, and Christian Theobalt. FML: Face model learning from videos. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Mariya Toneva and Leila Wehbe. Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain). Advances in Neural Information Processing Systems (NeurIPS). Conference Publication L

Dan Schwartz, Mariya Toneva, and Leila Wehbe. Inducing brain-relevant bias in natural language processing models. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication L

Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, and Geoffrey J. Gordon. An Empirical Study of Example Forgetting during Deep Neural Network Learning. International Conference on Learning Representations (ICLR). Conference Publication L

Tameem Adel, Isabel Valera, Zoubin Ghahramani, and Adrian Weller. One-network adversarial fairness. Proceedings of the AAAI Conference on Artificial Intelligence. Conference Publication F

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, and Krishna P. Gummadi. Fairness Constraints: A Flexible Approach for Fair Classification . Journal of Machine Learning Research. Journal Publication F

Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, and Isabel Valera. Automatic Bayesian density analysis. Proceedings of the AAAI Conference on Artificial Intelligence. Conference Publication F

Michael Backenköhler, Luca Bortolussi, and Verena Wolf. Control variates for stochastic simulation of chemical reaction networks. Computational Methods in Systems Biology: 17th International Conference, CMSB 2019, Trieste, Italy, September 18--20, 2019, Proceedings 17. Conference Publication A

2018

Xiaoy Shen, Hui Su, Shuzi Niu, and Vera Demberg. Improving Variational Encoder-Decoders in Dialogue Generation. Proceedings of the AAAI Conference on Artificial Intelligence. Conference Publication L

Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, and Thomas Brox. Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow. Computer Vision -- ECCV 2018. Conference Publication V

Natalia Skachkova, Thomas Alexander Trost, and Dietrich Klakow. Closing brackets with recurrent neural networks. Proceedings of the EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP. Conference Publication L

Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie, Mark Johnson, and Alexander Koller. AMR dependency parsing with a typed semantic algebra. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL). Conference Publication L

Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler, and Bernt Schiele. Neural body fitting: Unifying deep learning and model based human pose and shape estimation. International Conference on 3D Vision (3DV). Conference Publication V

Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, and Bernt Schiele. A Hybrid Model for Identity Obfuscation by Face Replacement. Computer Vision -- ECCV 2018. Conference Publication V

Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, and Bernt Schiele. A Hybrid Model for Identity Obfuscation by Face Replacement. Computer Vision -- ECCV 2018. Conference Publication V

Franziska Mueller, Florian Bernard, Oleksandr Sotnychenko, Dushyant Mehta, Srinath Sridhar, Dan Casas, and Christian Theobalt. GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB. Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Hyeongwoo Kim, Pablo Garrido, Ayush Tewari, Weipeng Xu, Justus Thies, Matthias Nießner, Patrick P'erez, Christian Richardt, Michael Zollöfer, and Christian Theobalt. Deep Video Portraits. ACM Transactions on Graphics (TOG). Journal Publication V

Ayush Tewari, Michael Zollhöfer, Pablo Garrido, Florian Bernard, Hyeongwoo Kim, Patrick P'erez, and Christian Theobalt. Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, and Gunnar Rätsch. Boosting black box variational inference. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication F

2017

Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed, and Manfred Pinkal. Modeling semantic expectation: Using script knowledge for referent prediction. Transactions of the Association for Computational Linguistics. Journal Publication L

Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, and Thomas Brox. DeMoN: Depth and Motion Network for Learning Monocular Stereo. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, and Bernt Schiele. ArtTrack: Articulated multi-Person tracking in the wild. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Siyu Tang, Mykhaylo Andriluka, Bjoern Andres, and Bernt Schiele. Multiple people tracking by lifted multicut and person re-identification. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Conference Publication V

Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Mykhaylo Andriluka, Christoph Bregler, Bernt Schiele, and Christian Theobalt. MARCOnI -- ConvNet-based MARker-less motion capture in outdoor and indoor scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. Journal Publication V

Leonid Pishchulin, Stefanie Wuhrer, Thomas Helten, Christian Theobalt, and Bernt Schiele. Building statistical shape spaces for 3D human modeling. Pattern Recognition. Journal Publication V

Angela Dai, Matthias Nießner, Michael Zollöfer, Shahram Izadi, and Christian Theobalt. BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration. ACM Transactions on Graphics (TOG). Journal Publication V

Ahmed Elhayek, Edilson de Aguiar, Arjun Jain, Jonathan Tompson, Leonid Pishchulin, Mykhaylo Andriluka, Christoph Bregler, Bernt Schiele, and Christian Theobalt. MARCOnI -- ConvNet-based MARker-less motion capture in outdoor and indoor scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence. Journal Publication V

Leonid Pishchulin, Stefanie Wuhrer, Thomas Helten, Christian Theobalt, and Bernt Schiele. Building statistical shape spaces for 3D human modeling. Pattern Recognition. Journal Publication V

Ayush Tewari, Michael Zollöfer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Perez, and Christian Theobalt. MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. Proceedings of the IEEE International Conference on Computer Vision (ICCV). Conference Publication V

Dushyant Mehta, Srinath Sridhar, Oleksandr Sotnychenko, Helge Rhodin, Mohammad Shafiei, Hans-Peter Seidel, Weipeng Xu, Dan Casas, and Christian Theobalt. VNect: Real-Time 3D Human Pose Estimation with a Single RGB Camera. ACM Transactions on Graphics (TOG). Journal Publication V

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez, and Krishna P. Gummadi. Fairness Constraints: Mechanisms for Fair Classification. Proceedings of the International Conference on Artificial Intelligence and Statistics. Conference Publication F

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P. Gummadi. Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment. Proceedings of the 26th International Conference on World Wide Web (WWW). Conference Publication F

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi, and Adrian Weller. From parity to preference-based notions of fairness in classification. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication F

2016

Ottokar Tilk, Vera Demberg, Asad Sayeed, Dietrich Klakow, and Stefan Thater. Event participant modelling with neural networks. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). Conference Publication L

Vera Demberg, Jörg Hoffmann, David Howcroft, Dietrich Klakow, and 'Alvaro Torralba. Search Challenges in Natural Language Generation with Complex Optimization Objectives. KI - Künstliche Intelligenz. Journal Publication L A

Maximilian Schwenger, 'Alvaro Torralba, Jörg Hoffmann, David Howcroft, and Vera Demberg. From OpenCCG to AI Planning: Detecting infeasible edges in sentence generation. Proceedings of the 26th International Conference on Computational Linguistics (COLING). Conference Publication L A

Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele. DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model. Computer Vision - ECCV 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI. Conference Publication V

Anna Rohrbach, Marcus Rohrbach, Ronghang Hu, Trevor Darrell, and Bernt Schiele. Grounding of Textual Phrases in Images by Reconstruction. Computer Vision -- ECCV 2016. Conference Publication V

Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, and Bernt Schiele. Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data. International Journal of Computer Vision. Journal Publication V

Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, and Slobodan Ilic. 3D Pictorial Structures Revisited: Multiple Human Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Journal Publication V

Helge Rhodin, Christian Richardt, Dan Casas, Eldar Insafutdinov, Mohammad Shafiei, Hans-Peter Seidel, Bernt Schiele, and Christian Theobalt. EgoCap: Egocentric marker-less motion capture with two fisheye cameras. {ACM} Transaction on Graphics (TOG). Journal Publication V

Marcus Rohrbach, Anna Rohrbach, Michaela Regneri, Sikandar Amin, Mykhaylo Andriluka, Manfred Pinkal, and Bernt Schiele. Recognizing fine-grained and composite activities using hand-centric features and script data. International Journal of Computer Vision. Journal Publication V

Helge Rhodin, Christian Richardt, Dan Casas, Eldar Insafutdinov, Mohammad Shafiei, Hans-Peter Seidel, Bernt Schiele, and Christian Theobalt. EgoCap: Egocentric marker-less motion capture with two fisheye cameras. {ACM} Transaction on Graphics (TOG). Journal Publication V

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, and Manuel Gomez Rodriguez. Learning and Forecasting Opinion Dynamics in Social Networks. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication F

2015

Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbacs, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, and Thomas Brox. FlowNet: Learning Optical Flow with Convolutional Networks. Proceedings of the IEEE International Conference on Computer Vision (ICCV). Conference Publication V

Bojan Pepik, Michael Stark, Peter V. Gehler, and Bernt Schiele. Multi-View and 3D Deformable Part Models. {IEEE} Trans. Pattern Anal. Mach. Intell.. Journal Publication V

Isabel Valera and Manuel Gomez-Rodriguez. Modeling Adoption and Usage of Competing Products. IEEE International Conference on Data Mining. Conference Publication F

2014

Malte Helmert, Patrik Haslum, Jörg Hoffmann, and Raz Nissim. Merge & Shrink abstraction: A method for generating lower bounds in factored state spaces. Journal of the Association for Computing Machinery. Journal Publication A

Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez, Isabel Valera, Hongyuan Zha, and Le Song. Shaping social activity by incentivizing users. Advances in Neural Information Processing Systems (NeurIPS). Conference Publication F

2013

Christian Wojek, Stefan Walk, Stefan Roth, Konrad Schindler, and Bernt Schiele. Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes. {IEEE} Trans. Pattern Anal. Mach. Intell.. Journal Publication V

Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, Stefan Thater, Bernt Schiele, and Manfred Pinkal. Grounding Action Descriptions in Videos. Transactions of the Association for Computational Linguistics. Journal Publication V

Marcus Rohrbach, Wei Qiu, Ivan Titov, Stefan Thater, Manfred Pinkal, and Bernt Schiele. Translating Video Content to Natural Language Descriptions. Proceedings of the IEEE International Conference on Computer Vision (ICCV). Conference Publication V

2010

Alexander Koller and Jörg Hoffmann. Waking Up a Sleeping Rabbit: On Natural-Language Sentence Generation with FF. Proceedings of the 20th International Conference on Automated Planning and Scheduling (Short Papers). Conference Publication L A

2009

Sergey Levine, Christian Theobalt, and Vladlen Koltun. Real-Time Prosody-Driven Synthesis of Body Language. Transactions on Graphics (TOG). Journal Publication V

2008

Irena Gali'c, Joachim Weickert, Martin Welk, Andr'es Bruhn, Alexander Belyaev, and Hans-Peter Seidel. Image compression with anisotropic diffusion. Journal of Mathematical Imaging and Vision. Journal Publication F

2006

Andr'es Bruhn, Joachim Weickert, Timo Kohlberger, and Christoph Schnörr. A multigrid platform for real-time motion computation with discontinuity-preserving variational methods. International Journal of Computer Vision. Journal Publication F