1 citations · 2 across the 4 of their papers we have counts for
5 papers
HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance
Soshi Shimada, Vladislav Golyanik, Zhi Li +3
Marker-less monocular 3D human motion capture (MoCap) with scene interactions is a challenging research topic relevant for extended reality, robotics and virtual avatar generation.…
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
Antoine Saporta, Arthur Douillard, Tuan-Hung Vu +2
Unsupervised Domain Adaptation (UDA) is a transfer learning task which aims at training on an unlabeled target domain by leveraging a labeled source domain. Beyond the traditional…
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
Antonin Vobecky, David Hurych, Oriane Siméoni +4
This work investigates learning pixel-wise semantic image segmentation in urban scenes without any manual annotation, just from the raw non-curated data collected by cars which, eq…
Raw High-Definition Radar for Multi-Task Learning
Julien Rebut, Arthur Ouaknine, Waqas Malik +1
With their robustness to adverse weather conditions and ability to measure speeds, radar sensors have been part of the automotive landscape for more than two decades. Recent progre…
CSG0: Continual Urban Scene Generation with Zero Forgetting
Himalaya Jain, Tuan-Hung Vu, Patrick Pérez +1
With the rapid advances in generative adversarial networks (GANs), the visual quality of synthesised scenes keeps improving, including for complex urban scenes with applications to…