Search Results for author:
Found 8 papers, 5 papers with code
LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation
While previous methods are able to generate speech rhythm-synchronized gestures, the semantic context of the speech is generally lacking in the gesticulations.
Back to MLP: A Simple Baseline for Human Motion Prediction
This paper tackles the problem of human motion prediction, consisting in forecasting future body poses from historically observed sequences.
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE
Studies on the automatic processing of 3D human pose data have flourished in the recent past.
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place Solution
In this report, we introduce our (pretty straightforard) two-step "detect-then-match" video instance segmentation method.
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021
We describe our two-stage instance segmentation framework we use to compete in the challenge.
Multi-Person Extreme Motion Prediction
In this paper, we explore this problem when dealing with humans performing collaborative tasks, we seek to predict the future motion of two interacted persons given two sequences of their past skeletons.
PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation
Our pose interacting network, or PI-Net, inputs the initial pose estimates of a variable number of interactees into a recurrent architecture used to refine the pose of the person-of-interest.
3D Multi-Person Pose Estimation (root-relative)
3D Pose Estimation
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World
To demonstrate how our approach can be applied to realistic traffic settings, we conduct a simulation experiment: to derive merging and yielding behaviors on a double-lane highway with an unexpected barrier.
