Leal-Taixé, Laura

MOT20: A benchmark for multi object tracking in crowded scenes

Dendorfer, P., Rezatofighi, H., Milan, A., Shi, J., Cremers, D., Reid, I., Roth, S., Schindler, K., & Leal-Taixé, L. (2020) · arXiv

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 779

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking

Dendorfer, P., Os̆ep, A., Milan, A., Schindler, K., Cremers, D., Reid, I., Roth, S., & Leal-Taixé, L. (2021) · International Journal of Computer Vision

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 374

Is Geometry Enough for Matching in Visual Localization?

Zhou, Q., Agostinho, S., Osep, A., & Leal-Taixé, L. (2022) · arXiv

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 52

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

Cañameras, R., Schuldt, S., Shu, Y., Suyu, S. H., Taubenberger, S., Andika, I. T., Bag, S., Inoue, K. T., Jaelani, A. T., Leal-Taixé, L., et al. (2024) · Astronomy & Astrophysics

Galaxies: Formation, Evolution, PhenomenaAstrophysical Phenomena and Observations

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