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Nadia Magnenat Thalmann

4 accepted papers

2021

A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder

ICCV 2021poster

We present a unified and flexible framework to address the generalized problem of 3D motion synthesis that covers the tasks of motion prediction, completion, interpolation, and spatial-temporal recovery. Since these tasks have different input constraints and various fidelity and diversity requiremen…

Cited by 80PDFScholar
2020

Learning Progressive Joint Propagation for Human Motion Prediction

ECCV 2020poster

Despite the great progress in human motion prediction, it remains a challenging task due to the complicated structural dynamics of human behaviors. In this paper, we address this problem in three aspects. First, to capture the long-range spatial correlations and temporal dependencies, we apply a tra…

Cited by 197SourcePDFScholar
2019

Boundary-Aware Feature Propagation for Scene Segmentation

ICCV 2019poster

In this work, we address the challenging issue of scene segmentation. To increase the feature similarity of the same object while keeping the feature discrimination of different objects, we explore to propagate information throughout the image under the control of objects' boundaries. To this end, w…

Cited by 286PDFcodeScholar
2019

Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

ICCV 2019poster

Despite great progress in 3D pose estimation from single-view images or videos, it remains a challenging task due to the substantial depth ambiguity and severe self-occlusions. Motivated by the effectiveness of incorporating spatial dependencies and temporal consistencies to alleviate these issues,…

Cited by 588PDFScholar