no code implementations • 22 Aug 2021 • Zhengyang Wu, Ke Deng, Judy Qiu, Yong Tang
There are opportunities to further improve the quality of generated exam scripts in various aspects.
no code implementations • 18 Mar 2020 • Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
With the emergence of Virtual and Mixed Reality (XR) devices, eye tracking has received significant attention in the computer vision community.
no code implementations • 24 Aug 2019 • Zhengyang Wu, Srivignesh Rajendran, Tarrence van As, Joelle Zimmermann, Vijay Badrinarayanan, Andrew Rabinovich
Eye gaze estimation and simultaneous semantic understanding of a user through eye images is a crucial component in Virtual and Mixed Reality; enabling energy efficient rendering, multi-focal displays and effective interaction with 3D content.
no code implementations • 17 Nov 2015 • Zhengyang Wu, Mohit Bansal, Matthew R. Walter
In this paper, we present a multimodal learning framework that incorporates both visual and lingual information to estimate the structure and parameters that define kinematic models of articulated objects.
no code implementations • CVPR 2015 • Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg
We propose a robust algorithm to generate video segment proposals.