1 code implementation • 12 Sep 2022 • Shubham Kanitkar, Helen Jiang, Wenzhen Yuan
To facilitate the study of how holding poses affect grasp stability, we present PoseIt, a novel multi-modal dataset that contains visual and tactile data collected from a full cycle of grasping an object, re-positioning the arm to one of the sampled poses, and shaking the object.
no code implementations • 2 Dec 2021 • Helen Jiang, Erwen Senge
Explainable AI (XAI) research has been booming, but the question "$\textbf{To whom}$ are we making AI explainable?"
no code implementations • 18 Aug 2020 • Helen Jiang, Erwen Senge
While the applications and demands of Machine learning (ML) systems in mental health are growing, there is little discussion nor consensus regarding a uniquely challenging aspect: building security methods and requirements into these ML systems, and keep the ML system usable for end-users.
no code implementations • ECCV 2020 • Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta
Instead, we explore a self-supervised approach for training our exploration policy by introducing a notion of semantic curiosity.
no code implementations • 9 Aug 2016 • Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen
We describe a technique for structured prediction, based on canonical correlation analysis.
no code implementations • CVPR 2016 • Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, Silvio Savarese
In this paper, we propose a method for semantic parsing the 3D point cloud of an entire building using a hierarchical approach: first, the raw data is parsed into semantically meaningful spaces (e. g. rooms, etc) that are aligned into a canonical reference coordinate system.