Publications associées à Transformation de Möbius

Learning Transformations To Reduce the Geometric Shift in Object Detection

Mathieu Salzmann, Martin Pierre Engilberge, Vidit Vidit

The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes caused by, e.g., different illumination conditions, or gaps between syntheti ...

Los Alamitos2023

Some Physical Implications Of Absolute Geometries In The Description Of Complex Systems Dynamics

Maria-Alexandra Paun

Some implications of absolute geometries in the description of complex systems dynamics, at various scale resolutions are highlighted. In such context, by means of an analytic geometry of 2 x 2 matrices, a generalization of the standard velocities space in ...

UNIV POLITEHNICA BUCHAREST, SCI BULL2023

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

Mathieu Salzmann, Jiancheng Yang, Zheng Dang, Haobo Jiang

In this paper, we propose a novel center-based decoupled point cloud registration framework for robust 6D object pose estimation in real-world scenarios. Our method decouples the translation from the entire transformation by predicting the object center an ...

Ieee Computer Soc2023

Multi-IVE: Privacy Enhancement of Multiple Soft-Biometrics in Face Embeddings

Sébastien Marcel, Hatef Otroshi Shahreza

This study focuses on the protection of soft-biometric attributes related to the demographic information of individuals that can be extracted from compact representations of face images, called embeddings. We consider a state-ofthe-art technology for soft- ...

IEEE COMPUTER SOC2023

Self-Structuring Of Cellular And Channel Type In Complex System Dynamics In The Framework Of Scale Relativity Theory

Maria-Alexandra Paun

In the framework of Scale Relativity Theory, by analyzing dynamics of complex system structural units based on multifractal curves, both Schrodinger and Madelung approaches are functional and complementary. The Madelung selected approach involve synchronou ...

UNIV POLITEHNICA BUCHAREST, SCI BULL2022

3D Common Corruptions and Data Augmentation

Shuqing Teresa Yeo, Amir Roshan Zamir, Oguzhan Fatih Kar, Andrei Atanov

We introduce a set of image transformations that can be used as corruptions to evaluate the robustness of models as well as data augmentation mechanisms for training neural networks. The primary distinction of the proposed transformations is that, unlike e ...

IEEE COMPUTER SOC2022

Topological Linear System Identification via Moderate Deviations Theory

Daniel Kuhn, Wouter Jongeneel, Tobias Sutter

Two dynamical systems are topologically equivalent when their phase-portraits can be morphed into each other by a homeomorphic coordinate transformation on the state space. The induced equivalence classes capture qualitative properties such as stability or ...

2021

Non-Hermitian time evolution: From static to parametric instability

Romain Christophe Rémy Fleury, Aleksi Antoine Bossart

Eigenmode coalescence imparts remarkable properties to non-Hermitian time evolution, culminating in a purely non-Hermitian spectral degeneracy known as an exceptional point (EP). Here, we revisit time evolution around EPs, looking at both static and period ...

2021

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Transformation de Möbius

Learning Transformations To Reduce the Geometric Shift in Object Detection

Some Physical Implications Of Absolute Geometries In The Description Of Complex Systems Dynamics

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

Multi-IVE: Privacy Enhancement of Multiple Soft-Biometrics in Face Embeddings

Lamplighters and the bounded cohomology of Thompson's group

Self-Structuring Of Cellular And Channel Type In Complex System Dynamics In The Framework Of Scale Relativity Theory

3D Common Corruptions and Data Augmentation

Hegemony in institutional transformation. Thesis from a work in progress"

Topological Linear System Identification via Moderate Deviations Theory

Non-Hermitian time evolution: From static to parametric instability

Graph Chatbot

Chattez avec Graph Search

Multi-IVE: Privacy Enhancement of Multiple Soft-Biometrics in Face Embeddings

Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation

Some Physical Implications Of Absolute Geometries In The Description Of Complex Systems Dynamics

Self-Structuring Of Cellular And Channel Type In Complex System Dynamics In The Framework Of Scale Relativity Theory

Non-Hermitian time evolution: From static to parametric instability

Lamplighters and the bounded cohomology of Thompson's group

Learning Transformations To Reduce the Geometric Shift in Object Detection

3D Common Corruptions and Data Augmentation

Hegemony in institutional transformation. Thesis from a work in progress"

Topological Linear System Identification via Moderate Deviations Theory