Search Results for author: Mihai Dusmanu

Found 10 papers, 6 papers with code

EgoGen: An Egocentric Synthetic Data Generator

no code implementations16 Jan 2024 Gen Li, Kaifeng Zhao, Siwei Zhang, Xiaozhong Lyu, Mihai Dusmanu, Yan Zhang, Marc Pollefeys, Siyu Tang

To address this challenge, we introduce EgoGen, a new synthetic data generator that can produce accurate and rich ground-truth training data for egocentric perception tasks.

Human Mesh Recovery Motion Synthesis

LaMAR: Benchmarking Localization and Mapping for Augmented Reality

no code implementations19 Oct 2022 Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, Marc Pollefeys

To close this gap, we introduce LaMAR, a new benchmark with a comprehensive capture and GT pipeline that co-registers realistic trajectories and sensor streams captured by heterogeneous AR devices in large, unconstrained scenes.

Benchmarking

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors

1 code implementation27 Sep 2022 Hao Dong, Xieyuanli Chen, Mihai Dusmanu, Viktor Larsson, Marc Pollefeys, Cyrill Stachniss

A distinctive representation of image patches in form of features is a key component of many computer vision and robotics tasks, such as image matching, image retrieval, and visual localization.

Dimensionality Reduction Image Retrieval +2

DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion

1 code implementation CVPR 2021 Arda Düzçeker, Silvano Galliani, Christoph Vogel, Pablo Speciale, Mihai Dusmanu, Marc Pollefeys

We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time steps is propagated to the current time step in an efficient and geometrically plausible way.

Depth Estimation Depth Prediction

Cross-Descriptor Visual Localization and Mapping

1 code implementation ICCV 2021 Mihai Dusmanu, Ondrej Miksik, Johannes L. Schönberger, Marc Pollefeys

Visual localization and mapping is the key technology underlying the majority of mixed reality and robotics systems.

Mixed Reality Visual Localization

Multi-View Optimization of Local Feature Geometry

1 code implementation ECCV 2020 Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys

In this work, we address the problem of refining the geometry of local image features from multiple views without known scene or camera geometry.

Camera Localization

Argument Mining on Twitter: Arguments, Facts and Sources

no code implementations EMNLP 2017 Mihai Dusmanu, Elena Cabrio, Serena Villata

Social media collect and spread on the Web personal opinions, facts, fake news and all kind of information users may be interested in.

Argument Mining

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