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researcher

Laura Leal-Taix'e

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
same name
  • Laura Leal-Taix'e — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedQuo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?

22 citations · 25 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 22 cited

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?

Patrick Dendorfer, Vladimir Yugay, Aljoša Ošep +1

Recent developments in monocular multi-object tracking have been very successful in tracking visible objects and bridging short occlusion gaps, mainly relying on data-driven appear…

cs.CV2022★ 3 cited

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes

Peter Kocsis, Peter Súkeník, Guillem Brasó +3

Convolutional neural networks were the standard for solving many computer vision tasks until recently, when Transformers of MLP-based architectures have started to show competitive…

cs.CV2022

DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment

Mariia Gladkova, Nikita Korobov, Nikolaus Demmel +3

Direct methods have shown excellent performance in the applications of visual odometry and SLAM. In this work we propose to leverage their effectiveness for the task of 3D multi-ob…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.