Matthias Nießner

Fellowship
Rudolf Mößbauer Tenure Track

Institution
Technical University of Munich

Department
Visual Computing

Focus Group
Visual Computing

Short CV

Professor Nießner (b. 1986) studied computer science at the Friedrich-Alexander-Universität Erlangen-Nürnberg and received his Diploma degree in 2010. He then began his doctoral research under the supervision of Professor Günther Greiner. His thesis on the topic of “Subdivision Surface Rendering using Hardware Tessellation” was submitted in 2013 and was awarded the highest honors. From 2013 to 2017 Professor Nießner was a visiting assistant professor at Stanford University. Since 2017 he has been a professor at TUM, where he heads the Visual Computing Lab.

Selected Awards

2018 ERC Starting Grant

2016 SIGGRAPH’16: Best Emerging Technologies Award for the Face2Face Live Demo

2013 MPC-VCC Fellowship: Research group funding, including 2 PhDs, over 2 years

2010 ASQF advancement award for excellent graduation, Diploma thesis

Research Interest

Prof. Nießner‘s research focuses on the area of 3D digitization at the intersection between Computer Graphics, Computer Vision, and Artificial Intelligence. The main theme of this research is to obtain 3D models of real-world environments captured by video and range cameras. In this context, the main focus lies on the representation of the obtained 3D geometry, as well as the processing and its analysis by leveraging cutting-edge machine learning techniques (e.g., Deep Learning). In addition to the analysis of semantic understanding of 3D environments, which is a key element of modern robotics, the research in the Visual Computing Lab touches many fascinating applications, including the editing of videos, numerical optimization, and many more.

Selected Publications

  • Dai A, Chang A, Savva M, Halber M, Funkhouser T, Nießner M: "ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes". CVPR. Honolulu, HI, USA. 22.-25.07.2017.

  • Thies J, Zollhöfer M, Stamminger M, Theobalt C, Nießner M: "Face2Face: Real-time Face Capture and Reenctment of RGB Videos". CVPR. Las Vegas, NV, USA. 27.-30.06.2016: 2387-2395.

  • Zollhöfer M, Nießner M, Izadi S, Rhemann C, Zach C, Fisher M, Wu C, Fitzgibbon A, Loop C, Theobalt C, Stamminger M: "Real-time Non-rigid Reconstruction using an RGB-D Camera". ACM Transactions on Graphics. 2014; 33(4): 156-168.

  • Nießner M, Zollhöfer M, Izadi S, Stamminger M: "Voxel Hashing". ACM Transactions on Graphics. 2013; 32(6): 169-180.

  • Nießner M, Loop C, Meyer M, DeRose T: "Feature Adaptive GPU Rendering of Catmull-Clark Subdivision Surfaces". ACM Transactions on Graphics. 2012; 31(1): 6-17.

Publications as TUM-IAS-Fellow

2019

  • Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, Matthias Nießner: FaceForensics++: Learning to Detect Manipulated Facial Images. 2019 more…
  • Angela Dai, Christian Diller, Matthias Nießner: SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. 2019 more…
  • Armen Avetisyan, Angela Dai, Matthias Nießner: End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. 2019 more…
  • Chiyu "Max" Jiang, Dana Lynn Ona Lansigan, Philip Marcus, Matthias Nießner: DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals. 2019 more…
  • Chiyu "Max" Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner: Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. 2019 more…
  • Chiyu "Max" Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Niessner: Spherical CNNs on Unstructured Grids. 2019 more…
  • Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Nießner, Luisa Verdoliva: SpoC: Spoofing Camera Fingerprints. 2019 more…
  • Dejan Azinović, Tzu-Mao Li, Anton Kaplanyan, Matthias Nießner: Inverse Path Tracing for Joint Material and Lighting Estimation. 2019 more…
  • Dong, Siyan; Xu, Kai; Zhou, Qiang; Tagliasacchi, Andrea; Xin, Shiqing; Nießner, Matthias; Chen, Baoquan: Multi-robot collaborative dense scene reconstruction. ACM Transactions on Graphics 38 (4), 2019, 1-16 more…
  • Ji Hou, Angela Dai, Matthias Nießner: 3D-SIC: 3D Semantic Instance Completion for RGB-D Scans. 2019 more…
  • Johanna Wald, Armen Avetisyan, Nassir Navab, Federico Tombari, Matthias Nießner: RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. 2019 more…
  • Justus Thies, Michael Zollhöfer, Matthias Nießner: Deferred Neural Rendering: Image Synthesis using Neural Textures. 2019 more…
  • Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Nießner: Joint Embedding of 3D Scan and CAD Objects. 2019 more…
  • Yawar Siddiqui, Julien Valentin, Matthias Nießner: ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation. 2019 more…

2018

  • Angela Dai, Matthias Nießner: Scan2Mesh: From Unstructured Range Scans to 3D Meshes. 2018 more…
  • Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner: Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. 2018 more…
  • Dai, Angela; Nießner, Matthias: 3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation. In: Computer Vision – ECCV 2018. Springer International Publishing, 2018 more…
  • Dai, Angela; Ritchie, Daniel; Bokeloh, Martin; Reed, Scott; Sturm, Jurgen; Niessner, Matthias: ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, 2018 more…
  • Ganapathi-Subramanian, Vignesh; Diamanti, Olga; Pirk, Soeren; Tang, Chengcheng; Niessner, Matthias; Guibas, Leonidas: Parsing Geometry Using Structure-Aware Shape Templates. 2018 International Conference on 3D Vision (3DV), IEEE, 2018 more…
  • Hepp, Benjamin; Nießner, Matthias; Hilliges, Otmar: Plan3D. ACM Transactions on Graphics 38 (1), 2018, 1-17 more…
  • Ji Hou, Angela Dai, Matthias Nießner: 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. 2018 more…
  • Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Nießner, Leonidas Guibas: TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. 2018 more…
  • Kim, Hyeongwoo; Theobalt, Christian; Carrido, Pablo; Tewari, Ayush; Xu, Weipeng; Thies, Justus; Niessner, Matthias; Pérez, Patrick; Richardt, Christian; Zollhöfer, Michael: Deep video portraits. ACM Transactions on Graphics 37 (4), 2018, 1-14 more…
  • Shi, Yifei; Xu, Kai; Nießner, Matthias; Rusinkiewicz, Szymon; Funkhouser, Thomas: PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction. In: Computer Vision – ECCV 2018. Springer International Publishing, 2018 more…
  • Thies, Justus; Zollhöfer, Michael; Stamminger, Marc; Theobalt, Christian; Nießner, Matthias: FaceVR. ACM Transactions on Graphics 37 (2), 2018, 1-15 more…
  • Thies, Justus; Zollhöfer, Michael; Stamminger, Marc; Theobalt, Christian; Nießner, Matthias: Face2Face. Communications of the ACM 62 (1), 2018, 96-104 more…
  • Thies, Justus; Zollhöfer, Michael; Theobalt, Christian; Stamminger, Marc; Niessner, Matthias: Headon. ACM Transactions on Graphics 37 (4), 2018, 1-13 more…
  • Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Nießner, Gordon Wetzstein, Michael Zollhöfer: DeepVoxels: Learning Persistent 3D Feature Embeddings. 2018 more…
  • Zollhöfer, M.; Thies, J.; Garrido, P.; Bradley, D.; Beeler, T.; Pérez, P.; Stamminger, M.; Nießner, M.; Theobalt, C.: State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications. Computer Graphics Forum 37 (2), 2018, 523-550 more…
  • Zollhöfer, Michael; Stotko, Patrick; Görlitz, Andreas; Theobalt, Christian; Nießner, Matthias; Klein, Reinhard; Kolb, Andreas: State of the Art on 3D Reconstruction with RGB-D Cameras. Computer Graphics Forum 37 (2), 2018, 625-652 more…