paper-conference

Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos, Anargyros Chatzitofis, Kostas Kolomvatsos
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Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Suit Up: AI MoCap
Anargyros Chatzitofis, Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos
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A low-cost & real-time motion capture system
Anargyros Chatzitofis, Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos
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Towards Scalable and Real-time Markerless Motion Capture
Georgios Albanis, Anargyros Chatzitofis, Spyridon Thermos, Nikolaos Zioulis, Kostas Kolomvatsos
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A benchmark with decomposed distribution shifts for 360 monocular depth estimation
In this work we contribute a distribution shift benchmark for a computer vision task; monocular depth estimation. Our differentiation …
Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
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Pano3d: A holistic benchmark and a solid baseline for 360deg depth estimation
A holistic benchmark for depth estimation from spherical panoramas
Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis, Vasileios Gkitsas, Vladimiros Sterzentsenko, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
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Pano3d: A holistic benchmark and a solid baseline for 360deg depth estimation
Panodr: Spherical panorama diminished reality for indoor scenes
Vasileios Gkitsas, Vladimiros Sterzentsenko, Nikolaos Zioulis, Georgios Albanis, Dimitrios Zarpalas
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Towards user generated AR experiences: Enable consumers to generate their own AR experiences for planning indoor spaces
Richard Whitehand, Georgios Albanis, Nikolaos Zioulis, Werner Bailer, Dimitrios Zarpalas, Petros Daras
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An example conference paper
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Georgios Albanis, Robert Ford
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An example conference paper