Leah Strand

According to our database, Leah Strand authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

ILVMamba: Illumination-Aware Lightweight Visual Mamba Framework for Efficient High-Resolution Image Enhancement.

Mingyu Liu, Jiong Xu, Yuning Cui, Xiaobin Hu, Leah Strand, Huilin Yin, Alois C. Knoll

IEEE Trans. Artif. Intell., March, 2026

DRFIR: A dimensionality reduction framework for all-in-one image restoration in spatial and frequency domains.

Mingyu Liu, Yuning Cui, Xin Liu, Leah Strand, Huilin Yin, Alois Knoll

Expert Syst. Appl., 2026

2025

TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes.

Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo, Walter Zimmer, Mingyu Liu, Hu Cao, Jiajie Zhang, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll

CoRR, February, 2025

MambaSFLNet: A Mamba-based Model for Low-Light Image Enhancement with Spatial and Frequency Features.

Mingyu Liu, Yuning Cui, Leah Strand, Xingcheng Zhou, Jiajie Zhang, Alois C. Knoll

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

TUMTraf CrossVision: A Multi-View Multi-Modal Vision Dataset for Arterial Intersection Traffic Surveillance.

Jiajie Zhang, Mingyu Liu, Xingcheng Zhou, Walter Zimmer, Christian Creß, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll

Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2025

TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes.

Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo, Walter Zimmer, Mingyu Liu, Hu Cao, Jiajie Zhang, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois Knoll

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras.

Christian Creß, Walter Zimmer, Nils Purschke, Bach Ngoc Doan, Sven Kirchner, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll

IEEE Trans. Intell. Veh., July, 2024

TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras.

Christian Creß, Walter Zimmer, Nils Purschke, Bach Ngoc Doan, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll

CoRR, 2024

Poster: Identifying Multipath in Phase-Based Ranging Measurements Using Channel Sounding.

Elin Eriksson, Walter Bronzi, Leah Strand, Alois Knoll

Proceedings of the IEEE Vehicular Networking Conference, 2024

An Online Self-Correcting Calibration Architecture for Multi-Camera Traffic Localization Infrastructure.

Leah Strand, Marcel Brucker, Venkatnarayanan Lakshminarasimhan, Alois Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection.

Xingcheng Zhou, Deyu Fu, Walter Zimmer, Mingyu Liu, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Joint Vehicle Pose and Extent Estimation in the Context of Multi-Camera Traffic Surveillance.

Leah Strand, Jens Honer, Alois Knoll

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Modeling Inter-Vehicle Occlusion Scenarios in Multi-Camera Traffic Surveillance Systems.

Leah Strand, Jens Honer, Alois Knoll

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

A9-Dataset: Multi-Sensor Infrastructure-Based Dataset for Mobility Research.

Christian Creß, Walter Zimmer, Leah Strand, Maximilian Fortkord, Siyi Dai, Venkatnarayanan Lakshminarasimhan, Alois C. Knoll

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Systematic Error Source Analysis of a Real-World Multi-Camera Traffic Surveillance System.

Leah Strand, Jens Honer, Alois C. Knoll

Proceedings of the 25th International Conference on Information Fusion, 2022