Publications associées à Correspondence problem

Pascal Fua, Mathieu Salzmann, Wei Wang, Yinlin Hu

Most recent 6D pose estimation frameworks first rely on a deep network to establish correspondences between 3D object keypoints and 2D image locations and then use a variant of a RANSAC-based Perspective-n-Point (PnP) algorithm. This two-stage process, how ...

2020

Local Non-Rigid Structure-from-Motion from Diffeomorphic Mappings

Pascal Fua, Mathieu Salzmann, Shaifali Parashar

We propose a new formulation to non-rigid structure-from-motion that only requires the deforming surface to preserve its differential structure. This is a much weaker assumption than the traditional ones of isometry or conformality. We show that it is neve ...

IEEE2020

Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings

Pascal Fua, Mathieu Salzmann, Shaifali Parashar

We propose a new formulation to the non-rigid structure-from-motion problem that only requires the deforming surface to meaning that its differential structure is preserved. This is a much weaker assumption than the traditional ones of isometry or conforma ...

2020

Challenges and implemented technologies used in autonomous drone racing

Davide Scaramuzza, Titus Cieslewski, Guido De Croon, Shuo Li

Autonomous drone racing (ADR) is a challenge for autonomous drones to navigate a cluttered indoor environment without relying on any external sensing in which all the sensing and computing must be done with onboard resources. Although no team could complet ...

2019

Learning to Find Unpaired Cross-Spectral Correspondences

Seungryong Kim

We present a deep architecture and learning framework for establishing correspondences across cross-spectral visible and infrared images in an unpaired setting. To overcome the unpaired cross-spectral data problem, we design the unified image translation a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Reconciling Matching Networks of Conceptual Models

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Zoltán Miklós

Conceptual models such as database schemas, ontologies or process models have been established as a means for effective engineering of information systems. Yet, for complex systems, conceptual models are created by a variety of stakeholders, which calls fo ...

2019

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images

Pascal Fua, Mathieu Salzmann, Carlos Joaquin Becker, Róger Bermúdez Chacón, Okan Altingövde

We present an Unsupervised Domain Adaptation strategy to compensate for domain shifts on Electron Microscopy volumes. Our method aggregates visual correspondences—motifs that are visually similar across different acquisitions—to infer changes on the parame ...

2019

Segmentation-driven 6D Object Pose Estimation

Pascal Fua, Mathieu Salzmann, Joachim Ludovic Hugonot, Yinlin Hu

The most recent trend in estimating the 6D pose of rigid objects has been to train deep networks to either directly regress the pose from the image or to predict the 2D locations of 3D keypoints, from which the pose can be obtained using a PnP algorithm. I ...

IEEE2019

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Correspondence problem

Single-Stage 6D Object Pose Estimation

Local Non-Rigid Structure-from-Motion from Diffeomorphic Mappings

Learning and leveraging shared domain semantics to counteract visual domain shifts

Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings

Challenges and implemented technologies used in autonomous drone racing

Learning to Find Unpaired Cross-Spectral Correspondences

Semantic Attribute Matching Networks

Reconciling Matching Networks of Conceptual Models

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images

Segmentation-driven 6D Object Pose Estimation

Graph Chatbot

Chattez avec Graph Search

Learning to Find Unpaired Cross-Spectral Correspondences

Single-Stage 6D Object Pose Estimation

Learning and leveraging shared domain semantics to counteract visual domain shifts

Local Non-Rigid Structure-from-Motion from Diffeomorphic Mappings

Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images

Reconciling Matching Networks of Conceptual Models

Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings

Semantic Attribute Matching Networks

Challenges and implemented technologies used in autonomous drone racing

Segmentation-driven 6D Object Pose Estimation