Search Results for author:
Found 12 papers, 4 papers with code
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surface
This paper introduces 3DFIRES, a novel system for scene-level 3D reconstruction from posed images.
Reconstructing Hands in 3D with Transformers
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.
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis
This interaction field guides the sampling of an object-conditioned human motion diffusion model, so as to encourage plausible contacts and affordance semantics.
EPIC Fields: Marrying 3D Geometry and Video Understanding
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.
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations
VISOR annotates videos from EPIC-KITCHENS, which comes with a new set of challenges not encountered in current video segmentation datasets.
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
In this paper we learn to segment hands and hand-held objects from motion.
Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure
Conclusions: Machine learning models combining chest radiographs and EHR data can accurately differentiate between common causes of acute respiratory failure.
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
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.
Cross-task weakly supervised learning from instructional videos
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
Visual Memory for Robust Path Following
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.
Unifying Map and Landmark Based Representations for Visual Navigation
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.
Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene
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.
