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2020 – today
- 2024
[c124]Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicoló Savioli, Liqiu Meng:
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text. AAAI 2024: 1219-1227- [c123]Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler:
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds. CVPR 2024: 3763-3772 - [c122]Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu:
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. CVPR 2024: 7922-7931 - [c121]Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler:
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation. CVPR 2024: 9492-9502 - [c120]Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang:
Dynamic LiDAR Re-Simulation Using Compositional Neural Fields. CVPR 2024: 19988-19998 - [c119]Yuanwen Yue, Sabarinath Mahadevan, Jonas Schult, Francis Engelmann, Bastian Leibe, Konrad Schindler, Theodora Kontogianni:
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation. ICLR 2024 - [c118]Laura Crocetti, Matthias Schartner, Konrad Schindler, Rochelle Schneider, Benedikt Soja:
Modelling the Troposphere with Global Navigation Satellite Systems, Meteorological Data and Machine Learning. IGARSS 2024: 1689-1692 - [c117]John E. Vargas-Muñoz, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler, Devis Tuia:
Estimating Fine-Grained Population Growth Rates from Coarse Census Data. IGARSS 2024: 4610-4613 - [c116]Andrés C. Rodríguez, Stefano D'Aronco, Rodrigo Caye Daudt, Jan D. Wegner, Konrad Schindler:
Recognition of Unseen Bird Species by Learning from Field Guides. WACV 2024: 1731-1740 - [i116]Maciej Wielgosz, Stefano Puliti, Binbin Xiang, Konrad Schindler, Rasmus Astrup:
SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data. CoRR abs/2401.15739 (2024) - [i115]Theodora Kontogianni, Yuanwen Yue, Siyu Tang, Konrad Schindler:
Is Continual Learning Ready for Real-world Challenges? CoRR abs/2402.10130 (2024) - [i114]Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler:
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds. CoRR abs/2403.02136 (2024) - [i113]Sidi Wu, Yizi Chen, Samuel Mermet, Lorenz Hurni, Konrad Schindler, Nicolas Gonthier, Loïc Landrieu:
StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation. CoRR abs/2403.20142 (2024) - [i112]Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang:
I-Design: Personalized LLM Interior Designer. CoRR abs/2404.02838 (2024) - [i111]Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu:
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks. CoRR abs/2405.14438 (2024) - [i110]Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock:
FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms. CoRR abs/2405.18087 (2024) - [i109]Olivier Dietrich, Torben Peters, Vivien Sainte Fare Garnot, Valerie Sticher, Thao Ton-That Whelan, Konrad Schindler, Jan Dirk Wegner:
An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series. CoRR abs/2406.02506 (2024) - [i108]Ghjulia Sialelli, Torben Peters, Jan D. Wegner, Konrad Schindler:
AGBD: A Global-scale Biomass Dataset. CoRR abs/2406.04928 (2024) - [i107]Tianfu Wang, Anton Obukhov, Konrad Schindler:
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models. CoRR abs/2406.11202 (2024) - [i106]Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers:
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation. CoRR abs/2407.17952 (2024) - [i105]Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni:
LoopSplat: Loop Closure by Registering 3D Gaussian Splats. CoRR abs/2408.10154 (2024) - 2023
- [j45]Omer Kantarcioglu
, Sultan Kocaman, Konrad Schindler:
Artificial neural networks for assessing forest fire susceptibility in Türkiye. Ecol. Informatics 75: 102034 (2023) - [j44]Nadine Rueegg, Silvia Zuffi, Konrad Schindler, Michael J. Black:
BARC: Breed-Augmented Regression Using Classification for 3D Dog Reconstruction from Images. Int. J. Comput. Vis. 131(8): 1964-1979 (2023) - [j43]Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised Attention. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14575-14589 (2023) - [j42]Corinne Stucker, Vivien Sainte Fare Garnot, Konrad Schindler:
U-TILISE: A Sequence-to-Sequence Model for Cloud Removal in Optical Satellite Time Series. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [c115]Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. BMVC 2023: 405 - [c114]Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool:
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. CoLLAs 2023: 1091-1111 - [c113]Yuanwen Yue, Theodora Kontogianni, Konrad Schindler, Francis Engelmann:
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries. CVPR 2023: 845-854 - [c112]Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron:
DeFlow: Self-supervised 3D Motion Estimation of Debris Flow. CVPR Workshops 2023: 6508-6517 - [c111]Nadine Rüegg, Shashank Tripathi, Konrad Schindler, Michael J. Black, Silvia Zuffi:
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation. CVPR 2023: 8867-8876 - [c110]Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler:
Guided Depth Super-Resolution by Deep Anisotropic Diffusion. CVPR 2023: 18237-18246 - [c109]Nikolai Kalischek, Rodrigo Caye Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler:
BiasBed - Rigorous Texture Bias Evaluation. CVPR 2023: 22221-22230 - [c108]Sidi Wu, Yizi Chen, Konrad Schindler, Lorenz Hurni:
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps. SIGSPATIAL/GIS 2023: 27:1-27:9 - [c107]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. ICCV 2023: 18190-18200 - [c106]Theodora Kontogianni, Ekin Celikkan, Siyu Tang, Konrad Schindler:
Interactive Object Segmentation in 3D Point Clouds. ICRA 2023: 2891-2897 - [c105]Janik Baumer, Nando Metzger, Elisabeth D. Hafner, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler:
Automatic Image Compositing and Snow Segmentation for Alpine Snow Cover Monitoring. SDS 2023: 77-84 - [i104]Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron:
DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow. CoRR abs/2304.02569 (2023) - [i103]Binbin Xiang, Yuanwen Yue, Torben Peters, Konrad Schindler:
A Review of Panoptic Segmentation for Mobile Mapping Point Clouds. CoRR abs/2304.13980 (2023) - [i102]Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany:
Neural LiDAR Fields for Novel View Synthesis. CoRR abs/2305.01643 (2023) - [i101]Devis Tuia, Konrad Schindler, Begüm Demir, Gustau Camps-Valls, Xiao Xiang Zhu, Mrinalini Kochupillai, Saso Dzeroski, Jan N. van Rijn, Holger H. Hoos, Fabio Del Frate, Mihai Datcu, Jorge-Arnulfo Quiané-Ruiz, Volker Markl, Bertrand Le Saux, Rochelle Schneider:
Artificial intelligence to advance Earth observation: a perspective. CoRR abs/2305.08413 (2023) - [i100]Corinne Stucker, Vivien Sainte Fare Garnot, Konrad Schindler:
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series. CoRR abs/2305.13277 (2023) - [i99]Yuchang Jiang, Vivien Sainte Fare Garnot, Konrad Schindler, Jan Dirk Wegner:
Mixture of Experts with Uncertainty Voting for Imbalanced Deep Regression Problems. CoRR abs/2305.15178 (2023) - [i98]Yuanwen Yue, Sabarinath Mahadevan, Jonas Schult, Francis Engelmann, Bastian Leibe, Konrad Schindler, Theodora Kontogianni:
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation. CoRR abs/2306.00977 (2023) - [i97]Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool:
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. CoRR abs/2306.04385 (2023) - [i96]Binbin Xiang, Torben Peters, Theodora Kontogianni, Frawa Vetterli, Stefano Puliti, Rasmus Astrup, Konrad Schindler:
Towards accurate instance segmentation in large-scale LiDAR point clouds. CoRR abs/2307.02877 (2023) - [i95]Yuchang Jiang, Marius Rüetschi, Vivien Sainte Fare Garnot, Mauro Marty, Konrad Schindler, Christian Ginzler, Jan D. Wegner:
Accuracy and Consistency of Space-based Vegetation Height Maps for Forest Dynamics in Alpine Terrain. CoRR abs/2309.01797 (2023) - [i94]Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. CoRR abs/2309.08523 (2023) - [i93]Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicoló Savioli, Liqiu Meng:
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text. CoRR abs/2309.11248 (2023) - [i92]Sidi Wu, Yizi Chen, Konrad Schindler, Lorenz Hurni:
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps. CoRR abs/2310.12616 (2023) - [i91]Tao Sun, Yan Hao, Shengyu Huang, Silvio Savarese, Konrad Schindler, Marc Pollefeys, Iro Armeni:
Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change. CoRR abs/2311.09346 (2023) - [i90]Nando Metzger, Rodrigo Caye Daudt, Devis Tuia, Konrad Schindler:
High-resolution Population Maps Derived from Sentinel-1 and Sentinel-2. CoRR abs/2311.14006 (2023) - [i89]Alexander Becker, Rodrigo Caye Daudt, Nando Metzger, Jan Dirk Wegner, Konrad Schindler:
Neural Fields with Thermal Activations for Arbitrary-Scale Super-Resolution. CoRR abs/2311.17643 (2023) - [i88]Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler:
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation. CoRR abs/2312.02145 (2023) - [i87]Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov:
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. CoRR abs/2312.03048 (2023) - [i86]Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler:
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds. CoRR abs/2312.04962 (2023) - [i85]Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang:
Dynamic LiDAR Re-simulation using Compositional Neural Fields. CoRR abs/2312.05247 (2023) - [i84]Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni:
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments. CoRR abs/2312.09138 (2023) - [i83]Binbin Xiang, Maciej Wielgosz, Theodora Kontogianni, Torben Peters, Stefano Puliti, Rasmus Astrup, Konrad Schindler:
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning. CoRR abs/2312.15084 (2023) - 2022
- [j41]Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler:
tntorch: Tensor Network Learning with PyTorch. J. Mach. Learn. Res. 23: 208:1-208:6 (2022) - [j40]René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1623-1637 (2022) - [j39]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-Layer RNNs That can be Trained. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4081-4092 (2022) - [j38]Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j37]Manu Tom, Yuchang Jiang, Emmanuel Baltsavias, Konrad Schindler:
Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c104]Angela Dai, Jana Kosecka, Gin Hee Lee, Konrad Schindler:
Message from the Program Chairs: 3DV 2022. 3DV 2022: 1 - [c103]Mikhail Usvyatsov, Rafael Ballester, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets:
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. BMVC 2022: 348 - [c102]Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler:
Learning Graph Regularisation for Guided Super-Resolution. CVPR 2022: 1969-1978 - [c101]Nadine Rüegg, Silvia Zuffi, Konrad Schindler, Michael J. Black:
BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information. CVPR 2022: 3866-3874 - [c100]Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler:
Dynamic 3D Scene Analysis by Point Cloud Accumulation. ECCV (38) 2022: 674-690 - [c99]Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler:
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. NeurIPS 2022 - [i82]Corinne Stucker, Bingxin Ke, Yuanwen Yue, Shengyu Huang, Iro Armeni, Konrad Schindler:
ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields. CoRR abs/2201.09968 (2022) - [i81]Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler:
Learning Graph Regularisation for Guided Super-Resolution. CoRR abs/2203.14297 (2022) - [i80]Nadine Rueegg, Silvia Zuffi, Konrad Schindler, Michael J. Black:
BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information. CoRR abs/2203.15536 (2022) - [i79]Theodora Kontogianni, Ekin Celikkan, Siyu Tang, Konrad Schindler:
Interactive Object Segmentation in 3D Point Clouds. CoRR abs/2204.07183 (2022) - [i78]Nico Lang, Walter Jetz, Konrad Schindler, Jan Dirk Wegner:
A high-resolution canopy height model of the Earth. CoRR abs/2204.08322 (2022) - [i77]Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. CoRR abs/2206.00050 (2022) - [i76]Andrés C. Rodríguez, Stefano D'Aronco, Rodrigo Caye Daudt, Jan D. Wegner, Konrad Schindler:
Zero-Shot Bird Species Recognition by Learning from Field Guides. CoRR abs/2206.01466 (2022) - [i75]Nikolai Kalischek, Nico Lang, Cécile Renier, Rodrigo Caye Daudt, Thomas Addoah, William Thompson, Wilma J. Blaser-Hart, Rachael Garrett, Konrad Schindler, Jan D. Wegner:
Satellite-based high-resolution maps of cocoa planted area for Côte d'Ivoire and Ghana. CoRR abs/2206.06119 (2022) - [i74]Mikhail Usvyatsov, Rafael Ballester-Ripoll, Konrad Schindler:
tntorch: Tensor Network Learning with PyTorch. CoRR abs/2206.11128 (2022) - [i73]Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler:
Dynamic 3D Scene Analysis by Point Cloud Accumulation. CoRR abs/2207.12394 (2022) - [i72]Mikhail Usvyatsov, Rafael Ballester-Ripoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets:
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. CoRR abs/2208.01421 (2022) - [i71]Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool:
TT-NF: Tensor Train Neural Fields. CoRR abs/2209.15529 (2022) - [i70]Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia:
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR abs/2211.04039 (2022) - [i69]Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler:
Guided Depth Super-Resolution by Deep Anisotropic Diffusion. CoRR abs/2211.11592 (2022) - [i68]Nikolai Kalischek, Rodrigo Caye Daudt, Torben Peters, Reinhard Furrer, Jan D. Wegner, Konrad Schindler:
BiasBed - Rigorous Texture Bias Evaluation. CoRR abs/2211.13190 (2022) - [i67]Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler:
Tetrahedral Diffusion Models for 3D Shape Generation. CoRR abs/2211.13220 (2022) - [i66]Yuanwen Yue, Theodora Kontogianni, Konrad Schindler, Francis Engelmann:
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries. CoRR abs/2211.15658 (2022) - [i65]Ye Hong, Yatao Zhang, Konrad Schindler, Martin Raubal:
Context-aware multi-head self-attentional neural network model for next location prediction. CoRR abs/2212.01953 (2022) - 2021
- [j36]Claudio Mura, Renato Pajarola, Konrad Schindler, Niloy J. Mitra:
Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories. Comput. Graph. Forum 40(2): 375-388 (2021) - [j35]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. 129(4): 845-881 (2021) - [j34]Daniel Scharstein, Angela Dai, Daniel Kondermann, Torsten Sattler, Konrad Schindler:
Guest Editorial: Special Issue on Performance Evaluation in Computer Vision. Int. J. Comput. Vis. 129(7): 2029-2030 (2021) - [j33]Guillaume Rousset, Marc Despinoy, Konrad Schindler, Morgan Mangeas:
Assessment of Deep Learning Techniques for Land Use Land Cover Classification in Southern New Caledonia. Remote. Sens. 13(12): 2257 (2021) - [j32]Andrés C. Rodríguez, Rodrigo Caye Daudt, Stefano D'Aronco, Konrad Schindler, Jan D. Wegner:
Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery. Remote. Sens. 13(21): 4302 (2021) - [c98]Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart:
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. 3DV 2021: 145-155 - [c97]Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler:
Predator: Registration of 3D Point Clouds With Low Overlap. CVPR 2021: 4267-4276 - [c96]Nikolai Kalischek, Jan D. Wegner, Konrad Schindler:
In the Light of Feature Distributions: Moment Matching for Neural Style Transfer. CVPR 2021: 9382-9391 - [c95]Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler:
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. ICCV 2021: 11406-11415 - [c94]Yujia Liu, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds. ICLR 2021 - [i64]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, Jan Dirk Wegner:
Crop mapping from image time series: deep learning with multi-scale label hierarchies. CoRR abs/2102.08820 (2021) - [i63]Claudio Mura, Renato Pajarola, Konrad Schindler, Niloy J. Mitra:
Walk2Map: Extracting Floor Plans from Indoor Walk Trajectories. CoRR abs/2103.00262 (2021) - [i62]Yujia Liu, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds. CoRR abs/2103.02766 (2021) - [i61]Nico Lang, Nikolai Kalischek, John Armston, Konrad Schindler, Ralph Dubayah, Jan Dirk Wegner:
Global canopy height estimation with GEDI LIDAR waveforms and Bayesian deep learning. CoRR abs/2103.03975 (2021) - [i60]Nikolai Kalischek, Jan Dirk Wegner, Konrad Schindler:
In the light of feature distributions: moment matching for Neural Style Transfer. CoRR abs/2103.07208 (2021) - [i59]Manu Tom, Tianyu Wu, Emmanuel Baltsavias, Konrad Schindler:
Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery. CoRR abs/2103.12434 (2021) - [i58]Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart:
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision. CoRR abs/2104.02538 (2021) - [i57]Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan D. Wegner:
Mapping oil palm density at country scale: An active learning approach. CoRR abs/2105.11207 (2021) - [i56]Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler:
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. CoRR abs/2105.14250 (2021) - [i55]Riccardo de Lutio, Yihang She, Stefano D'Aronco, Stefania Russo, Philipp Brun, Jan D. Wegner, Konrad Schindler:
Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs. CoRR abs/2106.03774 (2021) - [i54]Corinne Stucker, Konrad Schindler:
ResDepth: A Deep Prior For 3D Reconstruction From High-resolution Satellite Images. CoRR abs/2106.08107 (2021) - [i53]Nico Lang, Konrad Schindler, Jan Dirk Wegner:
High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR. CoRR abs/2107.07431 (2021) - [i52]Manu Tom, Yuchang Jiang, Emmanuel Baltsavias, Konrad Schindler:
Learning a Sensor-invariant Embedding of Satellite Data: A Case Study for Lake Ice Monitoring. CoRR abs/2107.09092 (2021) - [i51]Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran:
Mapping Vulnerable Populations with AI. CoRR abs/2107.14123 (2021) - [i50]Tianyu Wu, Konrad Schindler, Cenek Albl:
3D Reconstruction from public webcams. CoRR abs/2108.09476 (2021) - [i49]Alexander Becker, Stefania Russo, Stefano Puliti,