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2020 – today
- 2024
[c128]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- [c127]Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler:
Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds. CVPR 2024: 3763-3772 - [c126]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang:
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2024: 6499-6512 - [c125]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 - [c124]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 - [c123]Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang:
Dynamic LiDAR Re-Simulation Using Compositional Neural Fields. CVPR 2024: 19988-19998 - [c122]Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni:
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments. CVPR 2024: 28014-28024 - [c121]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. ECCV (39) 2024: 91-109 - [c120]Nikolai Kalischek, Torben Peters, Jan D. Wegner, Konrad Schindler:
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation. ECCV (53) 2024: 357-373 - [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 - [i118]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) - [i117]Theodora Kontogianni, Yuanwen Yue, Siyu Tang, Konrad Schindler:
Is Continual Learning Ready for Real-world Challenges? CoRR abs/2402.10130 (2024) - [i116]Yujia Liu, Anton Obukhov, Jan Dirk Wegner, Konrad Schindler:
Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds. CoRR abs/2403.02136 (2024) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]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) - [i110]Ghjulia Sialelli, Torben Peters, Jan D. Wegner, Konrad Schindler:
AGBD: A Global-scale Biomass Dataset. CoRR abs/2406.04928 (2024) - [i109]Tianfu Wang, Anton Obukhov, Konrad Schindler:
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models. CoRR abs/2406.11202 (2024) - [i108]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) - [i107]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) - [i106]Dingdong Yang, Yizhi Wang, Konrad Schindler, Ali Mahdavi Amiri, Hao Zhang:
GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation. CoRR abs/2410.10037 (2024) - [i105]Alexander Becker, Jan D. Wegner, Evans Dawoe, Konrad Schindler, William J. Thompson, Christian Bunn, Rachael Garrett, Fabio Castro, Simon P. Hart, Wilma J. Blaser-Hart:
The unrealized potential of agroforestry for an emissions-intensive agricultural commodity. CoRR abs/2410.20882 (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 - [d1]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. Zenodo, 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, Nico Lang, Konrad Schindler, Jan Dirk Wegner:
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning. CoRR abs/2111.13154 (2021) - 2020
- [j31]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Guest Editorial: Special Issue on ACCV 2018. Int. J. Comput. Vis. 128(4): 909 (2020) - [j30]Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler:
3D Fluid Flow Estimation with Integrated Particle Reconstruction. Int. J. Comput. Vis. 128(4): 1012-1027 (2020) - [j29]Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan D. Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs. Int. J. Comput. Vis. 128(4): 1047-1059 (2020) - [j28]Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler:
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning. Remote. Sens. 12(21): 3555 (2020) - [c93]Audrey Richard, Ian Cherabier, Martin R. Oswald, Marc Pollefeys, Konrad Schindler:
KAPLAN: A 3D Point Descriptor for Shape Completion. 3DV 2020: 101-110 - [c92]Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler:
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. AAAI 2020: 5561-5569 - [c91]Corinne Stucker, Konrad Schindler:
ResDepth: Learned Residual Stereo Reconstruction. CVPR Workshops 2020: 707-716 - [c90]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Michal Polic, Tomás Pajdla, Konrad Schindler:
From Two Rolling Shutters to One Global Shutter. CVPR 2020: 2502-2510 - [c89]Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CVPR Workshops 2020: 4326-4334 - [c88]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomás Pajdla:
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. ECCV (5) 2020: 698-714 - [c87]Jingtong Li, Jesse Murray, Dorina Ismaili, Konrad Schindler, Cenek Albl:
Reconstruction of 3D ight trajectories from ad-hoc camera networks. IROS 2020: 1621-1628 - [c86]Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler:
Indoor Scene Recognition in 3D. IROS 2020: 8041-8048 - [c85]Vít Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Deep Active Learning in Remote Sensing for data efficient Change Detection. MACLEAN@PKDD/ECML 2020 - [i48]Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler:
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. CoRR abs/2001.01613 (2020) - [i47]Audrey Richard, Ian Cherabier, Martin R. Oswald, Vagia Tsiminaki, Marc Pollefeys, Konrad Schindler:
Learned Multi-View Texture Super-Resolution. CoRR abs/2001.04775 (2020) - [i46]Corinne Stucker, Konrad Schindler:
ResDepth: Learned Residual Stereo Reconstruction. CoRR abs/2001.08026 (2020) - [i45]Manu Tom, Roberto Aguilar, Pascal Imhof, Silvan Leinss, Emmanuel Baltsavias, Konrad Schindler:
Lake Ice Detection from Sentinel-1 SAR with Deep Learning. CoRR abs/2002.07040 (2020) - [i44]Rajanie Prabha, Manu Tom, Mathias Rothermel, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler:
Lake Ice Monitoring with Webcams and Crowd-Sourced Images. CoRR abs/2002.07875 (2020) - [i43]Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler:
Indoor Scene Recognition in 3D. CoRR abs/2002.12819 (2020) - [i42]Jingtong Li, Jesse Murray, Dorina Ismaili, Konrad Schindler, Cenek Albl:
Reconstruction of 3D flight trajectories from ad-hoc camera networks. CoRR abs/2003.04784 (2020) - [i41]Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. CoRR abs/2003.09003 (2020) - [i40]Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
Privileged Pooling: Supervised attention-based pooling for compensating dataset bias. CoRR abs/2003.09168 (2020) - [i39]Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomás Pajdla:
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion. CoRR abs/2004.14052 (2020) - [i38]Mathias Rothermel, Ke Gong, Dieter Fritsch, Konrad Schindler, Norbert Haala:
Photometric Multi-View Mesh Refinement for High-Resolution Satellite Images. CoRR abs/2005.04777 (2020) - [i37]Cenek Albl, Zuzana Kukelova, Viktor Larsson, Tomás Pajdla, Konrad Schindler:
From two rolling shutters to one global shutter. CoRR abs/2006.01964 (2020) - [i36]P. Chaudhary, Stefano D'Aronco, João Paulo Leitão, Konrad Schindler, Jan Dirk Wegner:
Water level prediction from social media images with a multi-task ranking approach. CoRR abs/2007.06749 (2020) - [i35]Audrey Richard, Ian Cherabier, Martin R. Oswald, Marc Pollefeys, Konrad Schindler:
KAPLAN: A 3D Point Descriptor for Shape Completion. CoRR abs/2008.00096 (2020) - [i34]Vít Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Deep Active Learning in Remote Sensing for data efficient Change Detection. CoRR abs/2008.11201 (2020) - [i33]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR abs/2010.07548 (2020) - [i32]Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler:
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning. CoRR abs/2010.14300 (2020) - [i31]Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler:
PREDATOR: Registration of 3D Point Clouds with Low Overlap. CoRR abs/2011.13005 (2020) - [i30]Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations. CoRR abs/2012.02542 (2020)
2010 – 2019
- 2019
- [c84]Audrey Richard, Ian Cherabier, Martin R. Oswald, Vagia Tsiminaki, Marc Pollefeys, Konrad Schindler:
Learned Multi-View Texture Super-Resolution. 3DV 2019: 533-543 - [c83]Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Guided Super-Resolution As Pixel-to-Pixel Transformation. ICCV 2019: 8828-8836 - [c82]Mikhail Usvyatsov, Konrad Schindler:
Visual recognition in the wild by sampling deep similarity functions. ICRA 2019: 2341-2347 - [e7]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part I. Lecture Notes in Computer Science 11361, Springer 2019, ISBN 978-3-030-20886-8 [contents] - [e6]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part II. Lecture Notes in Computer Science 11362, Springer 2019, ISBN 978-3-030-20889-9 [contents] - [e5]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part III. Lecture Notes in Computer Science 11363, Springer 2019, ISBN 978-3-030-20892-9 [contents] - [e4]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 11364, Springer 2019, ISBN 978-3-030-20869-1 [contents] - [e3]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part V. Lecture Notes in Computer Science 11365, Springer 2019, ISBN 978-3-030-20872-1 [contents] - [e2]C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler:
Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part VI. Lecture Notes in Computer Science 11366, Springer 2019, ISBN 978-3-030-20875-2 [contents] - [i29]Mikhail Usvyatsov, Konrad Schindler:
Visual recognition in the wild by sampling deep similarity functions. CoRR abs/1903.06837 (2019) - [i28]Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation. CoRR abs/1904.01501 (2019) - [i27]Nico Lang, Konrad Schindler, Jan Dirk Wegner:
Country-wide high-resolution vegetation height mapping with Sentinel-2. CoRR abs/1904.13270 (2019) - [i26]Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR abs/1906.04567 (2019) - [i25]Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. CoRR abs/1907.01341 (2019) - [i24]Steve Branson, Jan Dirk Wegner, David Hall, Nico Lang, Konrad Schindler, Pietro Perona:
From Google Maps to a Fine-Grained Catalog of Street trees. CoRR abs/1910.02675 (2019) - [i23]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained. CoRR abs/1911.11033 (2019) - [i22]Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CoRR abs/1912.04250 (2019) - 2018
- [j27]Matthew Moy de Vitry, Konrad Schindler, Jörg Rieckermann, João Paulo Leitão:
Sewer Inlet Localization in UAV Image Clouds: Improving Performance with Multiview Detection. Remote. Sens. 10(5): 706 (2018) - [c81]Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler:
3D Fluid Flow Estimation with Integrated Particle Reconstruction. GCPR 2018: 315-332 - [c80]Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs. GCPR 2018: 597-611 - [i21]Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks. CoRR abs/1801.10585 (2018) - [i20]Charis Lanaras, José M. Bioucas-Dias, Silvano Galliani, Emmanuel Baltsavias, Konrad Schindler:
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network. CoRR abs/1803.04271 (2018) - [i19]Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler:
Variational 3D-PIV with Sparse Descriptors. CoRR abs/1804.02872 (2018) - [i18]Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler:
3D Fluid Flow Estimation with Integrated Particle Reconstruction. CoRR abs/1804.03037 (2018) - [i17]Zhipeng Cai, Tat-Jun Chin, Álvaro Parra Bustos, Konrad Schindler:
Practical optimal registration of terrestrial LiDAR scan pairs. CoRR abs/1811.09962 (2018) - 2017
- [j26]Vasileios Athanasios Anagnostopoulos, Michal Havlena, Peter Kiefer, Ioannis Giannopoulos, Konrad Schindler, Martin Raubal:
Gaze-Informed location-based services. Int. J. Geogr. Inf. Sci. 31(9): 1770-1797 (2017) - [j25]Charis Lanaras, Emmanuel Baltsavias, Konrad Schindler:
Hyperspectral Super-Resolution with Spectral Unmixing Constraints. Remote. Sens. 9(11): 1196 (2017) - [j24]Pascal Kaiser, Jan Dirk Wegner, Aurélien Lucchi, Martin Jaggi, Thomas Hofmann, Konrad Schindler:
Learning Aerial Image Segmentation From Online Maps. IEEE Trans. Geosci. Remote. Sens. 55(11): 6054-6068 (2017) - [c79]Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Ian D. Reid, Konrad Schindler:
Online Multi-Target Tracking Using Recurrent Neural Networks. AAAI 2017: 4225-4232 - [c78]Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler:
Semantic 3D Reconstruction with Finite Element Bases. BMVC 2017 - [c77]Charis Lanaras, José M. Bioucas-Dias, Emmanuel Baltsavias, Konrad Schindler:
Super-Resolution of Multispectral Multiresolution Images from a Single Sensor. CVPR Workshops 2017: 1505-1513 - [c76]Randi Cabezas, Maros Blaha, Sue Zheng, Guy Rosman, Konrad Schindler, John W. Fisher III:
On the Role of Representations for Reasoning in Large-Scale Urban Scenes. CVPR Workshops 2017: 1514-1523 - [c75]Thomas Schöps, Johannes L. Schönberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger:
A Multi-view Stereo Benchmark with High-Resolution Images and Multi-camera Videos. CVPR 2017: 2538-2547 - [c74]Wilfried Hartmann, Silvano Galliani, Michal Havlena, Luc Van Gool, Konrad Schindler:
Learned Multi-patch Similarity. ICCV 2017: 1595-1603 - [c73]Katrin Lasinger, Christoph Vogel, Konrad Schindler:
Volumetric Flow Estimation for Incompressible Fluids Using the Stationary Stokes Equations. ICCV 2017: 2584-2592 - [c72]Maros Blaha, Mathias Rothermel, Martin R. Oswald, Torsten Sattler, Audrey Richard, Jan Dirk Wegner, Marc Pollefeys, Konrad Schindler:
Semantically Informed Multiview Surface Refinement. ICCV 2017: 3839-3847 - [c71]Dimitrios Marmanis, Konrad Schindler, Jan Dirk Wegner, Mihai Datcu, Uwe Stilla:
Semantic segmentation of aerial images with explicit class-boundary modeling. IGARSS 2017: 5165-5168 - [i16]Wilfried Hartmann, Silvano Galliani, Michal Havlena, Konrad Schindler, Luc Van Gool:
Learned multi-patch similarity. CoRR abs/1703.08836 (2017) - [i15]Silvano Galliani, Charis Lanaras, Dimitrios Marmanis, Emmanuel Baltsavias, Konrad Schindler:
Learned Spectral Super-Resolution. CoRR abs/1703.09470 (2017) - [i14]Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth:
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. CoRR abs/1704.02781 (2017) - [i13]Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan Dirk Wegner, Konrad Schindler, Marc Pollefeys:
Semantic3D.net: A new Large-scale Point Cloud Classification Benchmark. CoRR abs/1704.03847 (2017) - [i12]Maros Blaha, Mathias Rothermel, Martin R. Oswald, Torsten Sattler, Audrey Richard, Jan Dirk Wegner, Marc Pollefeys, Konrad Schindler:
Semantically Informed Multiview Surface Refinement. CoRR abs/1706.08336 (2017) - [i11]Pascal Kaiser, Jan Dirk Wegner, Aurélien Lucchi, Martin Jaggi, Thomas Hofmann, Konrad Schindler:
Learning Aerial Image Segmentation from Online Maps. CoRR abs/1707.06879 (2017) - [i10]Audrey Richard, Christoph Vogel, Maros Blaha, Thomas Pock, Konrad Schindler:
Semantic 3D Reconstruction with Finite Element Bases. CoRR abs/1710.01749 (2017) - [i9]Dimitrios Marmanis, Wei Yao, Fathalrahman Adam, Mihai Datcu, Peter Reinartz, Konrad Schindler, Jan Dirk Wegner, Uwe Stilla:
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR Data. CoRR abs/1711.02010 (2017) - 2016
- [j23]Anton Milan, Konrad Schindler, Stefan Roth:
Multi-Target Tracking by Discrete-Continuous Energy Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2054-2068 (2016) - [c70]Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler:
Learning by Tracking: Siamese CNN for Robust Target Association. CVPR Workshops 2016: 418-425 - [c69]Torsten Sattler, Michal Havlena, Konrad Schindler, Marc Pollefeys:
Large-Scale Location Recognition and the Geometric Burstiness Problem. CVPR 2016: 1582-1590 - [c68]Timo Hackel, Jan Dirk Wegner, Konrad Schindler:
Contour Detection in Unstructured 3D Point Clouds. CVPR 2016: 1610-1618 - [c67]Maros Blaha, Christoph Vogel, Audrey Richard, Jan Dirk Wegner, Thomas Pock, Konrad Schindler:
Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling. CVPR 2016: 3176-3184 - [c66]Silvano Galliani, Konrad Schindler:
Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction. CVPR 2016: 5479-5487 - [c65]Jan Dirk Wegner, Steve Branson, David Hall, Konrad Schindler, Pietro Perona:
Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees. CVPR 2016: 6014-6023 - [c64]Charis Lanaras, Emmanuel Baltsavias, Konrad Schindler:
Estimation of relative sensor characteristics for hyperspectral super-resolution. WHISPERS 2016: 1-5 - [i8]Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOT16: A Benchmark for Multi-Object Tracking. CoRR abs/1603.00831 (2016) - [i7]Anton Milan, Seyed Hamid Rezatofighi, Anthony R. Dick, Konrad Schindler, Ian D. Reid:
Online Multi-target Tracking using Recurrent Neural Networks. CoRR abs/1604.03635 (2016) - [i6]Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler:
Learning by tracking: Siamese CNN for robust target association. CoRR abs/1604.07866 (2016) - [i5]Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn, Konrad Schindler:
Tracking with multi-level features. CoRR abs/1607.07304 (2016) - [i4]Dimitrios Marmanis, Konrad Schindler, Jan Dirk Wegner, Silvano Galliani, Mihai Datcu, Uwe Stilla:
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection. CoRR abs/1612.01337 (2016) - 2015
- [j22]M. Zeeshan Zia, Michael Stark, Konrad Schindler:
Towards Scene Understanding with Detailed 3D Object Representations. Int. J. Comput. Vis. 112(2): 188-203 (2015) - [j21]Christoph Vogel, Konrad Schindler, Stefan Roth:
3D Scene Flow Estimation with a Piecewise Rigid Scene Model. Int. J. Comput. Vis. 115(1): 1-28 (2015) - [j20]Sultan Kocaman Aksakal, Christoph Neuhaus, Emmanuel Baltsavias, Konrad Schindler:
Geometric Quality Analysis of AVHRR Orthoimages. Remote. Sens. 7(3): 3293-3319 (2015) - [j19]Asli Ozdarici-Ok, Ali Özgün Ok, Konrad Schindler:
Mapping of Agricultural Crops from Single High-Resolution Multispectral Images - Data-Driven Smoothing vs. Parcel-Based Smoothing. Remote. Sens. 7(5): 5611-5638 (2015) - [j18]Piotr Tokarczyk, Jan Dirk Wegner, Stefan Walk, Konrad Schindler:
Features, Color Spaces, and Boosting: New Insights on Semantic Classification of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 53(1): 280-295 (2015) - [c63]Anton Milan, Laura Leal-Taixé, Konrad Schindler, Ian D. Reid:
Joint tracking and segmentation of multiple targets. CVPR 2015: 5397-5406 - [c62]Silvano Galliani, Katrin Lasinger, Konrad Schindler:
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion. ICCV 2015: 873-881 - [c61]Torsten Sattler, Michal Havlena, Filip Radenovic, Konrad Schindler, Marc Pollefeys:
Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition. ICCV 2015: 2102-2110 - [c60]Charis Lanaras, Emmanuel Baltsavias, Konrad Schindler:
Hyperspectral Super-Resolution by Coupled Spectral Unmixing. ICCV 2015: 3586-3594 - [c59]Javier A. Montoya-Zegarra, Jan D. Wegner, Lubor Ladicky, Konrad Schindler:
On the evaluation of higher-order cliques for road network extraction. JURSE 2015: 1-4 - [c58]Wilfried Hartmann, Michal Havlena, Konrad Schindler:
Visual Gyroscope for Accurate Orientation Estimation. WACV 2015: 286-293 - [c57]Michele Fenzi, Laura Leal-Taixé, Konrad Schindler, Jörn Ostermann:
Pose Estimation of Object Categories in Videos Using Linear Programming. WACV 2015: 821-828 - [i3]Laura Leal-Taixé, Anton Milan, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. CoRR abs/1504.01942 (2015) - 2014
- [j17]Anton Milan, Stefan Roth, Konrad Schindler:
Continuous Energy Minimization for Multitarget Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 58-72 (2014) - [j16]Trung-Thanh Pham, Tat-Jun Chin, Konrad Schindler, David Suter:
Interacting Geometric Priors For Robust Multimodel Fitting. IEEE Trans. Image Process. 23(10): 4601-4610 (2014) - [c56]Anton Milan, Stefan Roth, Konrad Schindler, Mineichi Kudo:
Privacy Preserving Multi-target Tracking. ACCV Workshops (3) 2014: 519-530 - [c55]Wilfried Hartmann, Michal Havlena, Konrad Schindler:
Predicting Matchability. CVPR 2014: 9-16 - [c54]Muhammad Zeeshan Zia, Michael Stark, Konrad Schindler:
Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects. CVPR 2014: 3678-3685 - [c53]Javier A. Montoya-Zegarra, Jan Dirk Wegner, Lubor Ladicky, Konrad Schindler:
Mind the Gap: Modeling Local and Global Context in (Road) Networks. GCPR 2014: 212-223 - [c52]Michal Havlena, Konrad Schindler:
VocMatch: Efficient Multiview Correspondence for Structure from Motion. ECCV (3) 2014: 46-60 - [c51]Christoph Vogel, Stefan Roth, Konrad Schindler:
View-Consistent 3D Scene Flow Estimation over Multiple Frames. ECCV (4) 2014: 263-278 - [c50]Ali Özgün Ok, Asli Ozdarici-Ok, Konrad Schindler:
Graph-based method based on Gaussian Mixture Modeling to classify agricultural lands. SIU 2014: 425-428 - [r1]Konrad Schindler, Wolfgang Förstner:
Photogrammetry. Computer Vision, A Reference Guide 2014: 597-599 - [i2]M. Zeeshan Zia, Michael Stark, Konrad Schindler:
Towards Scene Understanding with Detailed 3D Object Representations. CoRR abs/1411.5935 (2014) - 2013
- [j15]Christian Wojek, Stefan Walk, Stefan Roth, Konrad Schindler, Bernt Schiele:
Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 882-897 (2013) - [j14]M. Zeeshan Zia, Michael Stark, Bernt Schiele, Konrad Schindler:
Detailed 3D Representations for Object Recognition and Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 35(11): 2608-2623 (2013) - [c49]Anton Milan, Konrad Schindler, Stefan Roth:
Challenges of Ground Truth Evaluation of Multi-target Tracking. CVPR Workshops 2013: 735-742 - [c48]Jan Dirk Wegner, Javier A. Montoya-Zegarra, Konrad Schindler:
A Higher-Order CRF Model for Road Network Extraction. CVPR 2013: 1698-1705 - [c47]M. Zeeshan Zia, Michael Stark, Konrad Schindler:
Explicit Occlusion Modeling for 3D Object Class Representations. CVPR 2013: 3326-3333 - [c46]Anton Milan, Konrad Schindler, Stefan Roth:
Detection- and Trajectory-Level Exclusion in Multiple Object Tracking. CVPR 2013: 3682-3689 - [c45]Christoph Vogel, Stefan Roth, Konrad Schindler:
An Evaluation of Data Costs for Optical Flow. GCPR 2013: 343-353 - [c44]Siyu Tang, Mykhaylo Andriluka, Anton Milan, Konrad Schindler, Stefan Roth, Bernt Schiele:
Learning People Detectors for Tracking in Crowded Scenes. ICCV 2013: 1049-1056 - [c43]Christoph Vogel, Konrad Schindler, Stefan Roth:
Piecewise Rigid Scene Flow. ICCV 2013: 1377-1384 - [c42]Michal Havlena, Wilfried Hartmann, Konrad Schindler:
Optimal Reduction of Large Image Databases for Location Recognition. ICCV Workshops 2013: 676-683 - [c41]Javier A. Montoya-Zegarra, Christian Leistner, Konrad Schindler:
Semantic tie points. WACV 2013: 377-384 - 2012
- [j13]Bernard M. C. Stienen, Konrad Schindler, Béatrice de Gelder:
A Computational Feedforward Model Predicts Categorization of Masked Emotional Body Language for Longer, but Not for Shorter, Latencies. Neural Comput. 24(7): 1806-1821 (2012) - [j12]Konrad Schindler:
An Overview and Comparison of Smooth Labeling Methods for Land-Cover Classification. IEEE Trans. Geosci. Remote. Sens. 50(11): 4534-4545 (2012) - [c40]Anton Andriyenko, Konrad Schindler, Stefan Roth:
Discrete-continuous optimization for multi-target tracking. CVPR 2012: 1926-1933 - 2011
- [c39]Anton Andriyenko, Konrad Schindler:
Multi-target tracking by continuous energy minimization. CVPR 2011: 1265-1272 - [c38]Christoph Vogel, Konrad Schindler, Stefan Roth:
3D scene flow estimation with a rigid motion prior. ICCV 2011: 1291-1298 - [c37]M. Zeeshan Zia, Michael Stark, Bernt Schiele, Konrad Schindler:
Revisiting 3D geometric models for accurate object shape and pose. ICCV Workshops 2011: 569-576 - [c36]Anton Andriyenko, Stefan Roth, Konrad Schindler:
An analytical formulation of global occlusion reasoning for multi-target tracking. ICCV Workshops 2011: 1839-1846 - [c35]David Novák, Emmanuel Baltsavias, Konrad Schindler:
Reliable Image Matching with Recursive Tiling. PIA 2011: 49-60 - [c34]Haris Papasaika, Effrosini Kokiopoulou, Emmanuel Baltsavias, Konrad Schindler, Daniel Kressner:
Fusion of Digital Elevation Models Using Sparse Representations. PIA 2011: 171-184 - 2010
- [j11]Andreas Ess, Konrad Schindler, Bastian Leibe, Luc Van Gool:
Object Detection and Tracking for Autonomous Navigation in Dynamic Environments. Int. J. Robotics Res. 29(14): 1707-1725 (2010) - [j10]Kemal Egemen Ozden, Konrad Schindler, Luc Van Gool:
Multibody Structure-from-Motion in Practice. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1134-1141 (2010) - [c33]Stefan Walk, Nikodem Majer, Konrad Schindler, Bernt Schiele:
New features and insights for pedestrian detection. CVPR 2010: 1030-1037 - [c32]Stefan Walk, Konrad Schindler, Bernt Schiele:
Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo. ECCV (6) 2010: 182-195 - [c31]Anton Andriyenko, Konrad Schindler:
Globally Optimal Multi-target Tracking on a Hexagonal Lattice. ECCV (1) 2010: 466-479 - [c30]Christian Wojek, Stefan Roth, Konrad Schindler, Bernt Schiele:
Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes. ECCV (4) 2010: 467-481 - [p1]Konrad Schindler, Luc Van Gool:
Fast Categorisation of Articulated Human Motion. Machine Learning for Human Motion Analysis 2010: 170-186 - [e1]Michael Goesele, Stefan Roth, Arjan Kuijper, Bernt Schiele, Konrad Schindler:
Pattern Recognition - 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010. Proceedings. Lecture Notes in Computer Science 6376, Springer 2010, ISBN 978-3-642-15985-5 [contents]
2000 – 2009
- 2009
- [j9]Andreas Ess, Bastian Leibe, Konrad Schindler, Luc Van Gool:
Robust Multiperson Tracking from a Mobile Platform. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1831-1846 (2009) - [c29]Stefano Pellegrini, Andreas Ess, Konrad Schindler, Luc Van Gool:
You'll never walk alone: Modeling social behavior for multi-target tracking. ICCV 2009: 261-268 - [c28]Henning Hamer, Konrad Schindler, Esther Koller-Meier, Luc Van Gool:
Tracking a hand manipulating an object. ICCV 2009: 1475-1482 - [c27]Andreas Ess, Bastian Leibe, Konrad Schindler, Luc Van Gool:
Moving obstacle detection in highly dynamic scenes. ICRA 2009: 56-63 - 2008
- [j8]Konrad Schindler, David Suter, Hanzi Wang:
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences. Int. J. Comput. Vis. 79(2): 159-177 (2008) - [j7]Konrad Schindler, Luc Van Gool, Béatrice de Gelder:
Recognizing emotions expressed by body pose: A biologically inspired neural model. Neural Networks 21(9): 1238-1246 (2008) - [j6]Bastian Leibe, Konrad Schindler, Nico Cornelis, Luc Van Gool:
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles. IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1683-1698 (2008) - [j5]Konrad Schindler, David Suter:
Object detection by global contour shape. Pattern Recognit. 41(12): 3736-3748 (2008) - [c26]Stefano Pellegrini, Konrad Schindler, Daniele Nardi:
A Generalisation of the ICP Algorithm for Articulated Bodies. BMVC 2008: 1-10 - [c25]Andreas Ess, Bastian Leibe, Konrad Schindler, Luc Van Gool:
A mobile vision system for robust multi-person tracking. CVPR 2008 - [c24]Konrad Schindler, Luc Van Gool:
Action snippets: How many frames does human action recognition require? CVPR 2008 - [c23]Konrad Schindler, Luc Van Gool:
Combining Densely Sampled Form and Motion for Human Action Recognition. DAGM-Symposium 2008: 122-131 - [c22]Stephan Gammeter, Andreas Ess, Tobias Jaeggli, Konrad Schindler, Bastian Leibe, Luc Van Gool:
Articulated Multi-body Tracking under Egomotion. ECCV (2) 2008: 816-830 - [i1]Andreas Ess, Konrad Schindler, Bastian Leibe, Luc Van Gool:
Robust Multi-Person Tracking from Moving Platforms. Logic and Probability for Scene Interpretation 2008 - 2007
- [j4]Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen:
Adaptive Object Tracking Based on an Effective Appearance Filter. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1661-1667 (2007) - [c21]Bastian Leibe, Konrad Schindler, Luc Van Gool:
Coupled Detection and Trajectory Estimation for Multi-Object Tracking. ICCV 2007: 1-8 - [c20]Kemal Egemen Ozden, Konrad Schindler, Luc Van Gool:
Simultaneous Segmentation and 3D Reconstruction of Monocular Image Sequences. ICCV 2007: 1-8 - [c19]Tat-Jun Chin, Liang Wang, Konrad Schindler, David Suter:
Extrapolating Learned Manifolds for Human Activity Recognition. ICIP (1) 2007: 381-384 - 2006
- [j3]Konrad Schindler:
Geometry and construction of straight lines in log-polar images. Comput. Vis. Image Underst. 103(3): 196-207 (2006) - [j2]Friedrich Fraundorfer, Konrad Schindler, Horst Bischof:
Piecewise planar scene reconstruction from sparse correspondences. Image Vis. Comput. 24(4): 395-406 (2006) - [j1]Konrad Schindler, David Suter:
Two-View Multibody Structure-and-Motion with Outliers through Model Selection. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 983-995 (2006) - [c18]Konrad Schindler, Hanzi Wang:
Smooth Foreground-Background Segmentation for Video Processing. ACCV (2) 2006: 581-590 - [c17]Konrad Schindler, James U, Hanzi Wang:
Perspective n-View Multibody Structure-and-Motion Through Model Selection. ECCV (1) 2006: 606-619 - [c16]Hanzi Wang, David Suter, Konrad Schindler:
Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking. ECCV (3) 2006: 606-618 - [c15]Tat-Jun Chin, Konrad Schindler, David Suter:
Incremental Kernel SVD for Face Recognition with Image Sets. FGR 2006: 461-466 - 2005
- [c14]Konrad Schindler, David Suter:
Two-View Multibody Structure-and-Motion with Outliers. CVPR (2) 2005: 676-683 - [c13]Tat-Jun Chin, James U, Konrad Schindler, David Suter:
Face Recognition from Video by Matching Image Sets. DICTA 2005: 28 - [c12]Konrad Schindler:
Spatially consistent 3D motion segmentation. ICIP (3) 2005: 409-412 - 2004
- [c11]Konrad Schindler, Horst Bischof:
The Epipolar Geometry of the Log-Polar Image Plane. ICPR (4) 2004: 40-43 - 2003
- [c10]Konrad Schindler, Horst Bischof:
On Robust Regression in Photogrammetric Point Clouds. DAGM-Symposium 2003: 172-178 - [c9]Konrad Schindler, Joachim Bauer:
A Model-Based Method For Building Reconstruction. HLK 2003: 74-82 - [c8]Konrad Schindler:
Generalized Use of Homographies for Piecewise Planar Reconstruction. SCIA 2003: 470-476 - [c7]Markus Grabner, Ralph Wozelka, Manish Mirchandani, Konrad Schindler:
Web-based visualization of virtual archaeological sites. VAST 2003: 111-122 - [c6]John Cosmas, T. Itegaki, Damian Green, N. Joseph, Luc Van Gool, Alexey Zalesny, Desi Vanrintel, Franz Leberl, Markus Grabner, Konrad Schindler, Konrad F. Karner, Michael Gervautz, Stefan Hynst, Marc Waelkens, Maarten Vergauwen, Marc Pollefeys, Kurt Cornelis, Tijl Vereenooghe, Robert Sablatnig, Martin Kampel, P. Axell, E. Meyns:
Providing Multimedia Tools for Recording, Reconstruction, Visualisation and Database Storage/Access of Archaeological Excavations. VAST 2003: 165-174 - [c5]Andrej Ferko, Markus Grabner, G. Schwann, M. Sormann, Konrad Schindler:
Navigation Functionality for Virtual Archaeology. WSCG 2003 - [c4]Konrad Schindler, Joachim Bauer:
Towards Feature-Based Building Reconstruction from Images. WSCG 2003 - 2002
- [c3]Andreas Klaus, Joachim Bauer, Konrad F. Karner, Konrad Schindler:
Metropogis: a city information system. ICIP (3) 2002: 533-536 - 2001
- [c2]Stefan Hynst, Michael Gervautz, Markus Grabner, Konrad Schindler:
A work-flow and data model for reconstruction, management, and visualization of archaeological sites. Virtual Reality, Archeology, and Cultural Heritage 2001: 43-52 - [c1]John Cosmas, Take Itagaki, Damian Green, Edward Grabczewski, Fred Weimer, Luc Van Gool, Alexey Zalesny, Desi Vanrintel, Franz Leberl, Markus Grabner, Konrad Schindler, Konrad F. Karner, Michael Gervautz, Stefan Hynst, Marc Waelkens, Marc Pollefeys, Roland DeGeest, Robert Sablatnig, Martin Kampel:
3D MURALE: a multimedia system for archaeology. Virtual Reality, Archeology, and Cultural Heritage 2001: 297-306
Coauthor Index
Jan Dirk Wegner
aka: Jan D. Wegner
aka: Jan D. Wegner
[c127] [c120] [c116] [i116] [i111] [i110] [i105] [j43] [c109] [c105] [i99] [i95] [i89] [i86] [j39] [j38] [c102] [c99] [i81] [i78] [i77] [i76] [i75] [i68] [i67] [j32] [c96] [c94] [d1] [i64] [i62] [i61] [i60] [i57] [i55] [i53] [i49] [j29] [c85] [i40] [i36] [i34] [i30] [c83] [i28] [i27] [i24] [i23] [c80] [i21] [j24] [c72] [c71] [i13] [i12] [i11] [i9] [c68] [c67] [c65] [i4] [j18] [c59] [c53] [c48]
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