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Found 17 papers, 9 papers with code
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning
In this work, we compare the effectiveness of L2 regularization and differential privacy in mitigating Membership Inference Attack risks.
PReP: Efficient context-based shape retrieval for missing parts
In this paper we study the problem of shape part retrieval in the point cloud domain.
Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
Our fastest variant outperforms all non-diffusion generative approaches on unconditional shape generation, the most popular benchmark for evaluating point cloud generative models, while our largest model achieves state-of-the-art results among diffusion methods, with a runtime approximately 70% of the previously state-of-the-art PVD.
Aggressive saliency-aware point cloud compression
The increasing demand for accurate representations of 3D scenes, combined with immersive technologies has led point clouds to extensive popularity.
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers
In this paper we delve into the properties of transformers, attained through self-supervision, in the point cloud domain.
Ranked #15 on
3D Point Cloud Classification
on ModelNet40
(using extra training data)
3D Point Cloud Classification
Explainable artificial intelligence
Real time enhancement of operator's ergonomics in physical human - robot collaboration scenarios using a multi-stereo camera system
In collaborative tasks where humans work alongside machines, the robot's movements and behaviour can have a significant impact on the operator's safety, health, and comfort.
AI Sound Recognition on Asthma Medication Adherence: Evaluation With the RDA Benchmark Suite
Asthma is a common, usually long-term respiratory disease with negative impact on global society and economy.
Deep Saliency Mapping for 3D Meshes and Applications
Nowadays, three-dimensional (3D) meshes are widely used in various applications in different areas (e. g., industry, education, entertainment and safety).
Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness
Autonomous vehicles are expected to operate safely in real-life road conditions in the next years.
AI-enabled Sound Pattern Recognition on Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite
Asthma is a common, usually long-term respiratory disease with negative impact on global society and economy.
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data.
SHREC 2021: Classification in cryo-electron tomograms
To promote innovation in computational methods, we generate a novel simulated dataset to benchmark different methods of localization and classification of biological macromolecules in tomograms.
Fast mesh denoising with data driven normal filtering using deep variational autoencoders
Recent advances in 3D scanning technology have enabled the deployment of 3D models in various industrial applications like digital twins, remote inspection and reverse engineering.
Fast Spatio-temporal Compression of Dynamic 3D Meshes
3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains.
Empowering cyberphysical systems of systems with intelligence
Cyber Physical Systems have been going into a transition phase from individual systems to a collecttives of systems that collaborate in order to achieve a highly complex cause, realizing a system of systems approach.
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemical properties.
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope
The algorithm is suitable for the fast registration of markers in augmentedreality systems and in applications where a computationally efficient real time feature detector is necessary. The algorithm can also be extended to N-dimensional polyhedrons.
