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Found 9 papers, 4 papers with code
Towards Long Term SLAM on Thermal Imagery
Visual SLAM with thermal imagery, and other low contrast visually degraded environments such as underwater, or in areas dominated by snow and ice, remain a difficult problem for many state of the art (SOTA) algorithms.
NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge Devices
Given the features of the input images extracted at different spatial resolutions, global matching is employed to estimate an initial optical flow on the 1/16 resolution, capturing large displacement, which is then refined on the 1/8 resolution with lightweight CNN layers for better accuracy.
A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching
Previous dominant point cloud registration approaches match these feature representations as the first step, e. g., using the Sinkhorn algorithm.
Bayesian Decision Making to Localize Visual Queries in 2D
The results are then combined together with the similarity in lower dimensions from the Siamese Head, acting as our measurement, to generate a posterior which is then used to determine the final similarity of the visual crop with the proposed bounding box.
An Iterative Labeling Method for Annotating Fisheries Imagery
In this paper, we present a methodology for fisheries-related data that allows us to converge on a labeled image dataset by iterating over the dataset with multiple training and production loops that can exploit crowdsourcing interfaces.
Removing Dynamic Objects for Static Scene Reconstruction using Light Fields
In this paper we present a method to synthesize a refocused image of the static background in the presence of dynamic objects that uses a light-field acquired with a linear camera array.
AutOTranS: an Autonomous Open World Transportation System
Tasks in outdoor open world environments are now ripe for automation with mobile manipulators.
Robotics
Anomaly Detection in Unstructured Environments using Bayesian Nonparametric Scene Modeling
This paper explores the use of a Bayesian non-parametric topic modeling technique for the purpose of anomaly detection in video data.
Camouflaging an Object from Many Viewpoints
We address the problem of camouflaging a 3D object from the many viewpoints that one might see it from.
