For robots to be useful outside labs and specialized factories we need a...
The availability of real-time semantics greatly improves the core geomet...
Representing human performance at high-fidelity is an essential building...
We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid
represe...
We propose a novel 3D morphable model for complete human heads based on
...
We propose Geometric Neural Parametric Models (GNPM), a learned parametr...
In this work, we tackle one-shot visual search of object parts. Given a
...
We present GO-Surf, a direct feature grid optimization method for accura...
Deducing the 3D structure of endoscopic scenes from images remains extre...
Dense object tracking, the ability to localize specific object points wi...
CodeNeRF is an implicit 3D neural representation that learns the variati...
We propose DSP-SLAM, an object-oriented SLAM system that builds a rich a...
We present a new end-to-end learning framework to obtain detailed and
sp...
We present a solution to egocentric 3D body pose estimation from monocul...
A robot's ability to act is fundamentally constrained by what it can
per...
Many structured prediction tasks in machine vision have a collection of
...
Object-oriented maps are important for scene understanding since they jo...
We present a new solution to egocentric 3D body pose estimation from
mon...
We present 3D Pick & Mix, a new 3D shape retrieval system that provides ...
We propose a CNN-based approach for multi-camera markerless motion captu...
We present MaskFusion, a real-time, object-aware, semantic and dynamic R...
Variational auto-encoders (VAEs) are a popular and powerful deep generat...
This paper is the first work to propose a network to predict a structure...
We demonstrate the use of shape-from-shading (SfS) to improve both the
q...
In this paper we introduce Co-Fusion, a dense SLAM system that takes a l...
We propose a unified formulation for the problem of 3D human pose estima...
We propose a novel Linear Program (LP) based formula- tion for solving j...
While data has certainly taken the center stage in computer vision in re...