Generating Future Observations to Estimate Grasp Success in Cluttered Environments

no code implementations • 18 Dec 2023 • Daniel Fernandes Gomes, Wenxuan Mou, Paolo Paoletti, Shan Luo

End-to-end self-supervised models have been proposed for estimating the success of future candidate grasps and video predictive models for generating future observations.

When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions

no code implementations • 26 Jan 2021 • Wenxuan Mou, Martina Ruocco, Debora Zanatto, Angelo Cangelosi

To this end, participants played a Price Game with a humanoid robot that was presented having either low level Theory of Mind or high level Theory of Mind.

Robotics

LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood

1 code implementation • CVPR 2020 • Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng

In this paper, we present a novel framework for jointly predicting landmark locations, associated uncertainties of these predicted locations, and landmark visibilities.

Face Alignment Facial Landmark Detection

Face Alignment Assisted by Head Pose Estimation

1 code implementation • 11 Jul 2015 • Heng Yang, Wenxuan Mou, Yichi Zhang, Ioannis Patras, Hatice Gunes, Peter Robinson

In this paper we propose a supervised initialization scheme for cascaded face alignment based on explicit head pose estimation.

Face Alignment Head Pose Estimation