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Renshu Gu

3 accepted papers

2025

Detail-Preserving Latent Diffusion for Stable Shadow Removal

CVPR 2025poster

Achieving high-quality shadow removal with strong generalizability is challenging in scenes with complex global illumination. Due to the limited diversity in shadow removal datasets, current methods are prone to overfitting training data, often leading to reduced performance on unseen cases. To addr…

Cited by 0SourcePDFScholar
2025

OmniSR: Shadow Removal Under Direct and Indirect Lighting

AAAI 2025technical

Shadows can originate from occlusions in both direct and indirect illumination. Although most current shadow removal research focuses on shadows caused by direct illumination, shadows from indirect illumination are often just as pervasive, particularly in indoor scenes. A significant challenge in re…

2021

Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking

ICCV 2021poster

Vehicle tracking is an essential task in the multi-object tracking (MOT) field. A distinct characteristic in vehicle tracking is that the trajectories of vehicles are fairly smooth in both the world coordinate and the image coordinate. Hence, models that capture motion consistencies are of high nece…

Cited by 77PDFcodeScholar