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08/24/2023
Robot Pose Nowcasting: Forecast the Future to Improve the Present
In recent years, the effective and safe collaboration between humans and...
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07/24/2023
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
Neural Radiance Fields (NeRFs) have gained widespread recognition as a h...
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07/06/2022
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps
Knowing the exact 3D location of workers and robots in a collaborative e...
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10/21/2021
Multi-Category Mesh Reconstruction From Image Collections
Recently, learning frameworks have shown the capability of inferring the...
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06/21/2021
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Gesture recognition is a fundamental tool to enable novel interaction pa...
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01/23/2019
Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face
Can faces acquired by low-cost depth sensors be useful to catch some cha...
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12/05/2018
Learn to See by Events: RGB Frame Synthesis from Event Cameras
Event cameras are biologically-inspired sensors that gather the temporal...
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05/30/2018
Learning to Generate Facial Depth Maps
In this paper, an adversarial architecture for facial depth map estimati...
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03/22/2018
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
Multi-People Tracking in an open-world setting requires a special effort...
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12/12/2017
Face-from-Depth for Head Pose Estimation on Depth Images
Depth cameras allow to setup reliable solutions for people monitoring an...
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07/21/2017
Head Detection with Depth Images in the Wild
Head detection and localization is a demanding task and a key element fo...
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03/10/2017
From Depth Data to Head Pose Estimation: a Siamese approach
The correct estimation of the head pose is a problem of the great import...
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03/08/2017
Fast Gesture Recognition with Multiple Stream Discrete HMMs on 3D Skeletons
HMMs are widely used in action and gesture recognition due to their impl...
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03/06/2017
Deep Head Pose Estimation from Depth Data for In-car Automotive Applications
Recently, deep learning approaches have achieved promising results in va...
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11/30/2016
