Laura Leal-Taixé

About Laura Leal-Taixé

Laura Leal-Taixé, With an exceptional h-index of 44 and a recent h-index of 42 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Computer Vision, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation

The NeRFect Match: Exploring NeRF Features for Visual Localization

SeMoLi: What Moves Together Belongs Together

Walking your lidog: A journey through multiple domains for lidar semantic segmentation

G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors

Unifying short and long-term tracking with graph hierarchies

Soft augmentation for image classification

Laura Leal-Taixé Information

University

Position

Professor at

Citations(all)

13572

Citations(since 2020)

11817

Cited By

4825

hIndex(all)

44

hIndex(since 2020)

42

i10Index(all)

83

i10Index(since 2020)

74

Email

University Profile Page

Google Scholar

Laura Leal-Taixé Skills & Research Interests

Computer Vision

Machine Learning

Deep Learning

Top articles of Laura Leal-Taixé

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow

arXiv preprint arXiv:2404.11426

2024/4/17

SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation

arXiv preprint arXiv:2403.16605

2024/3/25

The NeRFect Match: Exploring NeRF Features for Visual Localization

arXiv preprint arXiv:2403.09577

2024/3/14

Qunjie Zhou
Qunjie Zhou

H-Index: 2

Laura Leal-Taixé
Laura Leal-Taixé

H-Index: 24

SeMoLi: What Moves Together Belongs Together

arXiv preprint arXiv:2402.19463

2024/2/29

Laura Leal-Taixé
Laura Leal-Taixé

H-Index: 24

Walking your lidog: A journey through multiple domains for lidar semantic segmentation

2023

G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors

2023

Unifying short and long-term tracking with graph hierarchies

2023

Guillem Brasó
Guillem Brasó

H-Index: 1

Laura Leal-Taixé
Laura Leal-Taixé

H-Index: 24

Soft augmentation for image classification

2023

Simple cues lead to a strong multi-object tracker

2023

Lidar Panoptic Segmentation and Tracking without Bells and Whistles

2023/10/1

Staged Contact-Aware Global Human Motion Forecasting

arXiv preprint arXiv:2309.08947

2023/9/16

Laura Leal-Taixé
Laura Leal-Taixé

H-Index: 24

Novis: A case for end-to-end near-online video instance segmentation

arXiv preprint arXiv:2308.15266

2023/8/29

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis

arXiv preprint arXiv:2306.11710

2023/6/20

HOLISMOKES--XI. Evaluation of supervised neural networks for strong-lens searches in ground-based imaging surveys

arXiv preprint arXiv:2306.03136

2023/6/5

HOLISMOKES-IX. Neural network inference of strong-lens parameters and uncertainties from ground-based images

Astronomy & Astrophysics

2023/3/1

Learning to discover and detect objects

2022/10/19

Quo vadis: Is trajectory forecasting the key towards long-term multi-object tracking?

2022/10/14

Patrick Dendorfer
Patrick Dendorfer

H-Index: 4

Laura Leal-Taixé
Laura Leal-Taixé

H-Index: 24

The unreasonable effectiveness of fully-connected layers for low-data regimes

2022/10/11

Multi-object tracking and segmentation via neural message passing

International Journal of Computer Vision

2022/12

Guillem Brasó
Guillem Brasó

H-Index: 1

Laura Leal-Taixé
Laura Leal-Taixé

H-Index: 24

Directtracker: 3d multi-object tracking using direct image alignment and photometric bundle adjustment

2022/10/23

See List of Professors in Laura Leal-Taixé University(Technische Universität München)

Co-Authors

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