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Found 14 papers, 6 papers with code
STAIR: Semantic-Targeted Active Implicit Reconstruction
The key components of our framework are a semantic implicit neural representation and a compatible planning utility function based on semantic rendering and uncertainty estimation, enabling adaptive view planning to target objects of interest.
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency
In this paper, we propose a SLAM system for building globally consistent maps, called PIN-SLAM, that is based on an elastic and compact point-based implicit neural map representation.
Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)
The competition serves as an important benchmark in noncontact-based fingerprint PAD, offering (a) independent assessment of the state-of-the-art in noncontact-based fingerprint PAD for algorithms and systems, and (b) common evaluation protocol, which includes finger photos of a variety of Presentation Attack Instruments (PAIs) and live fingers to the biometric research community (c) provides standard algorithm and system evaluation protocols, along with the comparative analysis of state-of-the-art algorithms from academia and industry with both old and new android smartphones.
Subgraph Stationary Hardware-Software Inference Co-Design
For the stream of queries, SUSHI yields up to 25% improvement in latency, 0. 98% increase in served accuracy.
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots
Monitoring plants and fruits at high resolution play a key role in the future of agriculture.
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations
Accurate mapping of large-scale environments is an essential building block of most outdoor autonomous systems.
On the feasibility of small-data learning in simulation-driven engineering tasks with known mechanisms and effective data representations
The application of machine learning (ML) in scientific tasks is increasing, especially ML in simulation-driven engineering tasks.
Geodesic Density Regression for Correcting 4DCT Pulmonary Respiratory Motion Artifacts
Correspondences are estimated by accounting for the local tissue density change associated with air entering and leaving the lungs, and using binary artifact masks to exclude regions with artifacts from image regression.
MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square
The rapid development of autonomous driving and mobile mapping calls for off-the-shelf LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various complex scenarios.
Remote sensing image fusion based on Bayesian GAN
Remote sensing image fusion technology (pan-sharpening) is an important means to improve the information capacity of remote sensing images.
Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models
We discuss automatic creation of medical reports from ASR-generated patient-doctor conversational transcripts using an end-to-end neural summarization approach.
Target-less registration of point clouds: A review
Point cloud registration has been one of the basic steps of point cloud processing, which has a lot of applications in remote sensing and robotics.
Landslide Monitoring based on Terrestrial Laser Scanning: A Novel Semi-automatic Workflow
In this paper, we propose a workflow that uses Terrestrial Laser Scanning(TLS) to semi-automatically monitor landslide and then test it in practice.
Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration
Then, we formulate the correspondence matching task as an energy function, which models the global similarity of keypoints on the hybrid spaces of BSC feature and Euclidean geometry.
