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Found 6 papers, 2 papers with code
3D Pose Nowcasting: Forecast the Future to Improve the Present
Technologies to enable safe and effective collaboration and coexistence between humans and robots have gained significant importance in the last few years.
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
Neural Radiance Fields (NeRFs) have gained widespread recognition as a highly effective technique for representing 3D reconstructions of objects and scenes derived from sets of images.
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps
Knowing the exact 3D location of workers and robots in a collaborative environment enables several real applications, such as the detection of unsafe situations or the study of mutual interactions for statistical and social purposes.
Multi-Category Mesh Reconstruction From Image Collections
Recently, learning frameworks have shown the capability of inferring the accurate shape, pose, and texture of an object from a single RGB image.
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, entertainment systems, and more.
Future Urban Scenes Generation Through Vehicles Synthesis
In this work we propose a deep learning pipeline to predict the visual future appearance of an urban scene.
