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What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
Spatio-temporal grounding describes the task of localizing events in space and time, e. g., in video data, based on verbal descriptions only.
The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms
We show that the RMS is of limited expressiveness for algorithm selection and introduce the HCI Stereo Metrics.
Reflection Modeling for Passive Stereo
Stereo reconstruction in presence of reality faces many challenges that still need to be addressed.
Ensemble Learning for Confidence Measures in Stereo Vision
With the aim to improve accuracy of stereo confidence measures, we apply the random decision forest framework to a large set of diverse stereo confidence measures.
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