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Leah Strand

2 accepted papers

2025

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

IROS 2025

Low-light image enhancement (LLIE) aims to enhance the illumination of images that are captured under dark conditions, which is critical for various applications in dim environments, such as robotics and autonomous driving. Existing convolutional neural network (CNN)-based methods usually struggle t

Cited by 0SourcecodeScholar
2025

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

ICML 2025poster

We present TUMTraf VideoQA, a novel dataset and benchmark designed for spatio-temporal video understanding in complex roadside traffic scenarios. The dataset comprises 1,000 videos, featuring 85,000 multiple-choice QA pairs, 2,300 object captioning, and 5,700 object grounding annotations, encompassi…

Cited by 0SourcePDFScholar