most citedVisual Grounding with Multi-modal Conditional Adaptation

17 citations · 17 across the 5 of their papers we have counts for

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cs.CV2025

Balancing Conservatism and Aggressiveness: Prototype-Affinity Hybrid Network for Few-Shot Segmentation

Tianyu Zou, Shengwu Xiong, Ruilin Yao +1

This paper studies the few-shot segmentation (FSS) task, which aims to segment objects belonging to unseen categories in a query image by learning a model on a small number of well…

cs.CV2024

RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation

Zhaoyang Sun, Fei Du, Weihua Chen +4

Recently, the success of text-to-image synthesis has greatly advanced the development of identity customization techniques, whose main goal is to produce realistic identity-specifi…

cs.CV2024

SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models

Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen +4

This paper studies the challenging task of makeup transfer, which aims to apply diverse makeup styles precisely and naturally to a given facial image. Due to the absence of paired…

cs.CV2024★ 17 cited

Visual Grounding with Multi-modal Conditional Adaptation

Ruilin Yao, Shengwu Xiong, Yichen Zhao +1

Visual grounding is the task of locating objects specified by natural language expressions. Existing methods extend generic object detection frameworks to tackle this task. They ty…

cs.CV2024

Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth

Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen +1

The absence of real targets to guide the model training is one of the main problems with the makeup transfer task. Most existing methods tackle this problem by synthesizing pseudo…