A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields von Honauer, Katrin, Johannsen, Ole, Kondermann, Daniel, Goldluecke, Bastian

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Horn-Schunck Optical Flow with a Multi-Scale Strategy von Meinhardt-Llopis, Enric, Sánchez Pérez, Javier, Kondermann, Daniel

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High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates von Nair, Rahul, Lenzen, Frank, Meister, Stephan, Schäfer, Henrik, Garbe, Christoph, Kondermann, Daniel

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Guest Editorial: Special Issue on Performance Evaluation in Computer Vision von Scharstein, Daniel, Dai, Angela, Kondermann, Daniel, Sattler, Torsten, Schindler, Konrad

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Synthesizing Real World Stereo Challenges von Haeusler, Ralf, Kondermann, Daniel

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Crowdsourcing for error detection in cortical surface delineations von Ganz, Melanie, Kondermann, Daniel, Andrulis, Jonas, Knudsen, Gitte Moos, Maier-Hein, Lena

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Can Masses of Non-Experts Train Highly Accurate Image Classifiers?: A Crowdsourcing Approach to Instrument Segmentation in Laparoscopic Images von Maier-Hein, Lena, Mersmann, Sven, Kondermann, Daniel, Bodenstedt, Sebastian, Sanchez, Alexandro, Stock, Christian, Kenngott, Hannes Gotz, Eisenmann, Mathias, Speidel, Stefanie

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Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences von Maier-Hein, Lena, Kondermann, Daniel, Roß, Tobias, Mersmann, Sven, Heim, Eric, Bodenstedt, Sebastian, Kenngott, Hannes Götz, Sanchez, Alexandro, Wagner, Martin, Preukschas, Anas, Wekerle, Anna-Laura, Helfert, Stefanie, März, Keno, Mehrabi, Arianeb, Speidel, Stefanie, Stock, Christian

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Is Crowdsourcing for Optical Flow Ground Truth Generation Feasible? von Donath, Axel, Kondermann, Daniel

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Three-dimensional, three-component wall-PIV von Berthe, André, Kondermann, Daniel, Christensen, Carolyn, Goubergrits, Leonid, Garbe, Christoph, Affeld, Klaus, Kertzscher, Ulrich

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No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data von Klugmann, Christopher, Mahmood, Rafid, Hegde, Guruprasad, Kale, Amit, Kondermann, Daniel

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Ambiguous Annotations: When is a Pedestrian not a Pedestrian? von Schwirten, Luisa, Scholz, Jannes, Kondermann, Daniel, Keuper, Janis

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Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets von Güssefeld, Burkhard, Honauer, Katrin, Kondermann, Daniel

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Stereo Ground Truth with Error Bars von Kondermann, Daniel, Nair, Rahul, Meister, Stephan, Mischler, Wolfgang, Güssefeld, Burkhard, Honauer, Katrin, Hofmann, Sabine, Brenner, Claus, Jähne, Bernd

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A State of the Art Report on Kinect Sensor Setups in Computer Vision von Berger, Kai, Meister, Stephan, Nair, Rahul, Kondermann, Daniel

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Complex Motion Models for Simple Optical Flow Estimation von Nieuwenhuis, Claudia, Kondermann, Daniel, Garbe, Christoph S.

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GraphFlow -- 6D Large Displacement Scene Flow via Graph Matching von Abu Alhaija, Hassan, Sellent, Anita, Kondermann, Daniel, Rother, Carsten

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A Survey on Time-of-Flight Stereo Fusion von Nair, Rahul, Ruhl, Kai, Lenzen, Frank, Meister, Stephan, Schäfer, Henrik, Garbe, Christoph S., Eisemann, Martin, Magnor, Marcus, Kondermann, Daniel

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What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions von Chen, Brian, Shvetsova, Nina, Rouditchenko, Andrew, Kondermann, Daniel, Thomas, Samuel, Chang, Shih-Fu, Feris, Rogerio, Glass, James, Kuehne, Hilde

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Ambiguous Annotations: When is a Pedestrian not a Pedestrian? von Schwirten, Luisa, Scholz, Jannes, Kondermann, Daniel, Keuper, Janis

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