no code implementations • 13 Mar 2024 • Linyi Jin, Nilesh Kulkarni, David Fouhey
This paper introduces 3DFIRES, a novel system for scene-level 3D reconstruction from posed images.
no code implementations • 8 Dec 2023 • Georgios Pavlakos, Dandan Shan, Ilija Radosavovic, Angjoo Kanazawa, David Fouhey, Jitendra Malik
The key to HaMeR's success lies in scaling up both the data used for training and the capacity of the deep network for hand reconstruction.
no code implementations • 14 Jul 2023 • Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas Guibas
This interaction field guides the sampling of an object-conditioned human motion diffusion model, so as to encourage plausible contacts and affordance semantics.
1 code implementation • NeurIPS 2023 • Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
Compared to other neural rendering datasets, EPIC Fields is better tailored to video understanding because it is paired with labelled action segments and the recent VISOR segment annotations.
3 code implementations • 26 Sep 2022 • Ahmad Darkhalil, Dandan Shan, Bin Zhu, Jian Ma, Amlan Kar, Richard Higgins, Sanja Fidler, David Fouhey, Dima Damen
VISOR annotates videos from EPIC-KITCHENS, which comes with a new set of challenges not encountered in current video segmentation datasets.
no code implementations • NeurIPS 2021 • Dandan Shan, Richard Higgins, David Fouhey
In this paper we learn to segment hands and hand-held objects from motion.
1 code implementation • 27 Aug 2021 • Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W Sjoding
Conclusions: Machine learning models combining chest radiographs and EHR data can accurately differentiate between common causes of acute respiratory failure.
no code implementations • 21 Sep 2020 • Sarah Jabbour, David Fouhey, Ella Kazerooni, Michael W. Sjoding, Jenna Wiens
This paper studies the case of spurious class skew in which patients with a particular attribute are spuriously more likely to have the outcome of interest.
2 code implementations • CVPR 2019 • Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic
In this paper we investigate learning visual models for the steps of ordinary tasks using weak supervision via instructional narrations and an ordered list of steps instead of strong supervision via temporal annotations.
Ranked #5 on Temporal Action Localization on CrossTask
no code implementations • NeurIPS 2018 • Ashish Kumar, Saurabh Gupta, David Fouhey, Sergey Levine, Jitendra Malik
Equipped with this abstraction, a second network observes the world and decides how to act to retrace the path under noisy actuation and a changing environment.
no code implementations • 21 Dec 2017 • Saurabh Gupta, David Fouhey, Sergey Levine, Jitendra Malik
This works presents a formulation for visual navigation that unifies map based spatial reasoning and path planning, with landmark based robust plan execution in noisy environments.
no code implementations • CVPR 2018 • Shubham Tulsiani, Saurabh Gupta, David Fouhey, Alexei A. Efros, Jitendra Malik
The goal of this paper is to take a single 2D image of a scene and recover the 3D structure in terms of a small set of factors: a layout representing the enclosing surfaces as well as a set of objects represented in terms of shape and pose.