Wen Jiang

Hey! I am a Research Scientist at Waymo. I finished my PhD in Computer & Information Science at the University of Pennsylvania and my advisor was Prof. Kostas Daniilidis. I was fortunate to work as a Machine Learning Intern at the 3D Vision Team for Apple Maps, a Research Scientist Intern at Meta Reality Lab, and a Visiting Fellow at Microsoft Research Asia.

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An active robotic grasping method that leverages a calibrated energy-based model to guide the grasping process with information gain.

An active Gaussian Splatting SLAM system with active exploration strategy, more accurate mapping and localization

We propose a framework for active next best view and touch selection for robotic manipulators using 3D Gaussian Splatting (3DGS)

We introduce a novel approach to enhance robot navigation safety and improve 3D scene understanding by extending beyond conventional uncertainty-based methods.

FisherRF compute the Fihser Information for 3D Gaussian Splatting and other Radiance Fields and could select next best views or quantify pixel-wise uncertainty for its renderings.

We propose a novel task called event-based continuous color video decompression , pairing single static color frames and events to reconstruct temporally continuous videos.

We propose a novel method for 3D shape completion from a partial observation of a point cloud.

End-to-end reconstruction of multiple people using two novel geometric losses that encourage coherent 3D estimates

This paper introduces a novel contour-based approach named deep snake for real-time instance segmentation.

This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views.

This guy has an awesome website