Geometry Processing
Geometry processing is concerned with the acquisition, analysis and manipulation of geometric data. The field is very broad and algorithms aim at improving 3D reconstructions, finding correspondences between objects, shape interpolation, or analysing physical properties of scanned data. Many applications in geometry processing have counterparts in image processing, e.g. object detection, but geometric data poses special challenges in terms of how to formulate mathematical concepts on discretized domains, and choosing the best data structures and shape representations for each application.
Our group is especially interested in 3D geometric data and works mainly in the directions of 3D shape analysis, point cloud processing and inference from 3D data. But our members have worked on a wide range of subtopics, so feel free to reach out to us if you are interested in any geometry processing related topic!
3D Shape Analysis | Point Cloud Processing | Inference from 3D data |
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2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2024
Conference and Workshop Papers
[] Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. ([supp])
[] SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering , In IEEE Winter Conference on Applications of Computer Vision (WACV), 2024. ([supp])
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2023
Conference and Workshop Papers
[] SIGMA: Quantum Scale-Invariant Global Sparse Shape Matching , In International Conference on Computer Vision (ICCV), 2023. ([pdf])
[] Neural Implicit Representations for Physical Parameter Inference from a Single Video , In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. ([project page])
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2022
Conference and Workshop Papers
[] Intrinsic Neural Fields: Learning Functions on Manifolds , In European Conference on Computer Vision (ECCV), 2022. (Code will be released soon.)
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2021
Conference and Workshop Papers
[] Isometric Multi-Shape Matching , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. ([arxiv])
Oral Presentation [] i3DMM: Deep Implicit 3D Morphable Model of Human Heads , In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. ([Project page],[ArXiv])
Oral Presentation 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2020
Journal Articles
[] From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds , In IEEE Robotics and Automation Letters (RA-L) & International Conference on Robotics and Automation (ICRA), volume 5, 2020.
Conference and Workshop Papers
[] Unsupervised Dense Shape Correspondence using Heat Kernels , In International Conference on 3D Vision (3DV), 2020. ([arxiv])
[] Simulated Annealing for 3D Shape Correspondence , In International Conference on 3D Vision (3DV), 2020.
Oral Presentation [] PrimiTect: Fast Continuous Hough Voting for Primitive Detection , In International Conference on Robotics and Automation (ICRA), 2020.
[] Correspondence-Free Material Reconstruction using Sparse Surface Constraints , In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[] Hamiltonian Dynamics for Real-World Shape Interpolation , In European Conference on Computer Vision (ECCV), 2020. ([arXiv] [code])
Spotlight Presentation [] Smooth Shells: Multi-Scale Shape Registration with Functional Maps , In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. ([pdf] [arXiv] [code])
Oral Presentation 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2019
Journal Articles
[] Functional Maps Representation on Product Manifolds , In Computer Graphics Forum, volume 38, 2019. ((Presented at Symposium on Geometry Processing (SGP)) [arxiv])
Conference and Workshop Papers
[] Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction , In arXiv preprint arXiv:1910.01812, 2019. ([pdf])
[] Divergence-Free Shape Correspondence by Deformation , In Computer Graphics Forum, volume 38, 2019. ([arxiv])
[] Shape Correspondence with Isometric and Non-Isometric Deformations , In 12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2019, Genoa, Italy, May 5-6, 2019 (S Biasotti, G Lavoué, RC. Veltkamp, eds.), Eurographics Association, 2019.
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2018
Conference and Workshop Papers
[] Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis , In Proc. of the Int. Conference on 3D Vision (3DV), 2018. ([Code])
Received the Best Paper Award at 3DV 2018 [] DeepWrinkles: Accurate and Realistic Clothing Modeling , In European Conference on Computer Vision (ECCV), 2018. ([Homepage], [Oral Presentation])
Oral Presentation [] Joint Representation of Primitive and Non-primitive Objects for 3D Vision , In 2018 International Conference on 3D Vision, 3DV 2018, Verona, Italy, September 5-8, 2018, IEEE Computer Society, 2018.
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2017
Journal Articles
[] Regularized Pointwise Map Recovery from Functional Correspondence , In Comput. Graph. Forum, volume 36, 2017.
Conference and Workshop Papers
[] A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[] Efficient Deformable Shape Correspondence via Kernel Matching , In International Conference on 3D Vision (3DV), 2017. ([arxiv],[Code])
Oral Presentation [] Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([Code], also check the related github repository)
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2016
Book Chapters
[] Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence , Chapter in Perspectives in Shape Analysis, Springer, 2016.
Conference and Workshop Papers
[] A Convex Solution to Spatially-Regularized Correspondence Problems , In European Conference on Computer Vision (ECCV), 2016.
[] Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding , In European Conference on Computer Vision (ECCV), 2016. ([code])
[] SHREC’16: Matching of Deformable Shapes with Topological Noise , In Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016. ([Dataset])
[] Efficient Globally Optimal 2D-to-3D Deformable Shape Matching , In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([Code], [Homepage])
2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2013
2015
Journal Articles
[] Fast and Accurate Surface Alignment through an Isometry-Enforcing Game , In Pattern Recognition, Elsevier, volume 48, 2015.
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2013
Journal Articles
[] Stable and Fast Techniques for Unambiguous Compound Phase Coding , In Image and Vision Computing, volume 31, 2013.
[] A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes , In International Journal of Computer Vision, Springer US, volume 102, 2013.