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Xintian Shen

2 accepted papers

2023

Learning Global-aware Kernel for Image Harmonization

ICCV 2023poster

Image harmonization aims to solve the visual inconsistency problem in composited images by adaptively adjusting the foreground pixels with the background as references. Existing methods employ local color transformation or region matching between foreground and background, which neglects powerful pr…

Cited by 9PDFScholar
2023

Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning

ICCV 2023poster

Structured pruning and quantization are promising approaches for reducing the inference time and memory footprint of neural networks. However, most existing methods require the original training dataset to fine-tune the model. This not only brings heavy resource consumption but also is not possible…

Cited by 21PDFScholar