Ye Deng — accepted AI-conference papers

2025

Enhancing Mamba Decoder with Bidirectional Interaction in Multi-Task Dense Prediction

Mang Cao, Sanping Zhou, Yizhe Li, Ye Deng, Wenli Huang, Le Wang

ICCV 2025poster

Sufficient cross-task interaction is crucial for success in multi-task dense prediction. However, sufficient interaction often results in high computational complexity, forcing existing methods to face the trade-off between interaction completeness and computational efficiency. To address this limit…

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2022

Hourglass Attention Network for Image Inpainting

Ye Deng, Siqi Hui, Rongye Meng, Sanping Zhou, Jinjun Wang

ECCV 2022poster

"Benefiting from the powerful ability of convolutional neural networks (CNNs) to learn semantic information and texture patterns of images, learning-based image inpainting methods have made noticeable breakthroughs over the years. However, certain inherent defects (e.g. local prior, spatially sharin…

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