A performance evaluation of point pair features von Kiforenko, Lilita, Drost, Bertram, Tombari, Federico, Krüger, Norbert, Glent Buch, Anders

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Clinical performance of AI-integrated risk assessment pooling reveals cost savings even at high prevalence of COVID-19 von Kamari, Farzin, Eller, Esben, Bøgebjerg, Mathias Emil, Capella, Ignacio Martínez, Galende, Borja Arroyo, Korim, Tomas, Øland, Pernille, Borup, Martin Lysbjerg, Frederiksen, Anja Rådberg, Ranjouriheravi, Amir, Al-Jwadi, Ahmed Faris, Mansour, Mostafa, Hansen, Sara, Diethelm, Isabella, Burek, Marta, Alvarez, Federico, Buch, Anders Glent, Mojtahedi, Nima, Röttger, Richard, Segtnan, Eivind Antonsen

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Teaching a Robot the Semantics of Assembly Tasks von Savarimuthu, Thiusius Rajeeth, Buch, Anders Glent, Schlette, Christian, Wantia, Nils, Robmann, Jurgen, Martinez, David, Alenya, Guillem, Torras, Carme, Ude, Ales, Nemec, Bojan, Kramberger, Aljaz, Worgotter, Florentin, Aksoy, Eren Erdal, Papon, Jeremie, Haller, Simon, Piater, Justus, Kruger, Norbert

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Solving peg-in-hole tasks by human demonstration and exception strategies von Abu-Dakka, Fares J, Nemec, Bojan, Kramberger, Aljaž, Buch, Anders Glent, Krüger, Norbert, Ude, Ales

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BOP: Benchmark for 6D Object Pose Estimation von Hodaň, Tomáš, Michel, Frank, Brachmann, Eric, Kehl, Wadim, Buch, Anders Glent, Kraft, Dirk, Drost, Bertram, Vidal, Joel, Ihrke, Stephan, Zabulis, Xenophon, Sahin, Caner, Manhardt, Fabian, Tombari, Federico, Kim, Tae-Kyun, Matas, Jiří, Rother, Carsten

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Ring on the hook: placing a ring on a moving and pendulating hook based on visual input von Kjær-Nielsen, Anders, Glent Buch, Anders, Emil Kryger Jensen, Andreas, Møller, Bent, Kraft, Dirk, Krüger, Norbert, Gordon Petersen, Henrik, Ellekilde, Lars-Peter

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A comparison of feature detectors and descriptors for object class matching von Hietanen, Antti, Lankinen, Jukka, Kämäräinen, Joni-Kristian, Buch, Anders Glent, Krüger, Norbert

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Compensating Pose Uncertainties through Appropriate Gripper Finger Cutouts von Wolniakowski, Adam, Gams, Andrej, Kiforenko, Lilita, Kramberger, Aljaž, Chrysostomou, Dimitrios, Madsen, Ole, Miatliuk, Konstantsin, Petersen, Henrik Gordon, Hagelskjær, Frederik, Buch, Anders Glent, Ude, Aleš, Krüger, Norbert

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Using surfaces and surface relations in an Early Cognitive Vision system von Kraft, Dirk, Mustafa, Wail, Popović, Mila, Jessen, Jeppe Barsøe, Buch, Anders Glent, Savarimuthu, Thiusius Rajeeth, Pugeault, Nicolas, Krüger, Norbert

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ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data von Hagelskjaer, Frederik, Buch, Anders Glent

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Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization von Hagelskjaer, Frederik, Buch, Anders Glent

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A new benchmark for pose estimation with ground truth from virtual reality von Schlette, Christian, Buch, Anders Glent, Aksoy, Eren Erdal, Steil, Thomas, Papon, Jérémie, Savarimuthu, Thiusius Rajeeth, Wörgötter, Florentin, Krüger, Norbert, Roßmann, Jürgen

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SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings von Haugaard, Rasmus Laurvig, Buch, Anders Glent

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PointVoteNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds von Hagelskjær, Frederik, Buch, Anders Glent

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Ki-Pode: Keypoint-based Implicit Pose Distribution Estimation of Rigid Objects von Iversen, Thorbjørn Mosekjær, Haugaard, Rasmus Laurvig, Buch, Anders Glent

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Indoor Objects and Outdoor Urban Scenes Recognition by 3D Visual Primitives von Fu, Junsheng, Kämäräinen, Joni-Kristian, Buch, Anders Glent, Krüger, Norbert

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Self-supervised deep visual servoing for high precision peg-in-hole insertion von Haugaard, Rasmus Laurvig, Buch, Anders Glent, Iversen, Thorbjørn Mosekjær

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ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data von Hagelskjaer, Frederik, Buch, Anders Glent

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Object Detection Using a Combination of Multiple 3D Feature Descriptors von Kiforenko, Lilita, Buch, Anders Glent, Krüger, Norbert

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Bridging the Reality Gap for Pose Estimation Networks using Sensor-Based Domain Randomization von Hagelskjaer, Frederik, Buch, Anders Glent

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