Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …
model of the environment (the map), and the estimation of the state of the robot moving …
NetVLAD: CNN architecture for weakly supervised place recognition
We tackle the problem of large scale visual place recognition, where the task is to quickly
and accurately recognize the location of a given query photograph. We present the following …
and accurately recognize the location of a given query photograph. We present the following …
Attend, infer, repeat: Fast scene understanding with generative models
We present a framework for efficient inference in structured image models that explicitly
reason about objects. We achieve this by performing probabilistic inference using a …
reason about objects. We achieve this by performing probabilistic inference using a …
Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
In recent years, the task of estimating the 6D pose of object instances and complete scenes,
ie camera localization, from a single input image has received considerable attention …
ie camera localization, from a single input image has received considerable attention …
Modelling uncertainty in deep learning for camera relocalization
We present a robust and real-time monocular six degree of freedom visual relocalization
system. We use a Bayesian convolutional neural network to regress the 6-DOF camera pose …
system. We use a Bayesian convolutional neural network to regress the 6-DOF camera pose …
Planet-photo geolocation with convolutional neural networks
T Weyand, I Kostrikov, J Philbin - … , The Netherlands, October 11-14, 2016 …, 2016 - Springer
Is it possible to determine the location of a photo from just its pixels? While the general
problem seems exceptionally difficult, photos often contain cues such as landmarks, weather …
problem seems exceptionally difficult, photos often contain cues such as landmarks, weather …
Learning to navigate the energy landscape
In this paper, we present a novel, general, and efficient architecture for addressing computer
vision problems that are approached from an'Analysis by Synthesis' standpoint. Analysis by …
vision problems that are approached from an'Analysis by Synthesis' standpoint. Analysis by …
Fusion of magnetic and visual sensors for indoor localization: Infrastructure-free and more effective
Accurate and infrastructure-free indoor positioning can be very useful in a variety of
applications. However, most existing approaches (eg, WiFi and infrared-based methods) for …
applications. However, most existing approaches (eg, WiFi and infrared-based methods) for …
Fusion and binarization of CNN features for robust topological localization across seasons
The extreme variability in the appearance of a place across the four seasons of the year is
one of the most challenging problems in life-long visual topological localization for mobile …
one of the most challenging problems in life-long visual topological localization for mobile …
Hs-nets: Estimating human body shape from silhouettes with convolutional neural networks
E Dibra, H Jain, C Öztireli, R Ziegler… - … conference on 3D …, 2016 - ieeexplore.ieee.org
We represent human body shape estimation from binary silhouettes or shaded images as a
regression problem, and describe a novel method to tackle it using CNNs. Utilizing a …
regression problem, and describe a novel method to tackle it using CNNs. Utilizing a …