Jianzhuang Liu

Prompt Distribution Learning

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

We present prompt distribution learning for effectively adapting a pre-trained vision-language model to address downstream recognition tasks. Our method not only learns low-bias prompts from a few samples but also captures the distribution of diverse …

Structure-Preserving Graph Representation Learning

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Though graph representation learning (GRL) has made significant progress, it is still a challenge to extract and embed the rich topological structure and feature information in an adequate way. Most existing methods focus on local …

MagicEraser: Erasing Any Objects via Semantics-Aware Control

2024 · arXiv (Cornell University)

The traditional image inpainting task aims to restore corrupted regions by referencing surrounding background and foreground. However, the object erasure task, which is in increasing demand, aims to erase objects and generate harmonious background. Previous …