Jenny Seidenschwarz

According to our database, Jenny Seidenschwarz authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PROWL: Prioritized Regret-Driven Optimization for World Model Learning.

Ahmet Hamdi Güzel, Jenny Seidenschwarz, Benjamin Graham, Jonathan Sadeghi, Jeffrey Hawke, Ilija Bogunovic

CoRR, May, 2026

2025

Dynamic Vision: From 2D Multi-Object to 3D Point Tracking.

Jenny Denise Seidenschwarz

PhD thesis, 2025

DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction.

Jenny Seidenschwarz, Qunjie Zhou, Bardienus Pieter Duisterhof, Deva Ramanan, Laura Leal-Taixé

Proceedings of the International Conference on 3D Vision, 2025

2024

SeMoLi: What Moves Together Belongs Together.

Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning.

Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Simple Cues Lead to a Strong Multi-Object Tracker.

Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixé

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Simple Cues Lead to a Strong Multi-Object Tracker.

Jenny Seidenschwarz, Guillem Brasó, Ismail Elezi, Laura Leal-Taixé

CoRR, 2022

2021

Learning Intra-Batch Connections for Deep Metric Learning.

Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé

Proceedings of the 38th International Conference on Machine Learning, 2021