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2020 – today
- 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) - [c103]Angela Dai, Jana Kosecka, Gin Hee Lee, Konrad Schindler:
Message from the Program Chairs: 3DV 2022. 3DV 2022: 1 - [c102]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 - [c101]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 - [c100]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 - [c99]Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler:
Dynamic 3D Scene Analysis by Point Cloud Accumulation. ECCV (38) 2022: 674-690 - [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 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 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]