8 citations · 12 across the 13 of their papers we have counts for
8 papers · 1 filter
SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs
Jian Yu, Fei Shen, Cong Wang +5
Although Large Language Models (LLMs) have demonstrated promising safety performance, extending them to Multimodal Large Language Models (MLLMs) exposes a significant gap between e…
VersaVogue: Visual Expert Orchestration and Preference Alignment for Unified Fashion Synthesis
Jian Yu, Fei Shen, Cong Wang +4
Diffusion models have driven remarkable advancements in fashion image generation, yet prior works usually treat garment generation and virtual dressing as separate problems, limiti…
Targeted Interpretable Safety Neuron Enhancement for Multilingual Vision-Language Large Models
Enyi Shi, Fei Shen, Chuancheng Shi +5
With the widespread deployment of vision-language large models (VLLMs), their safety alignment faces dual challenges across languages and modalities. Existing methods model multili…
LeCoT: revisiting network architecture for two-view correspondence pruning
Luanyuan Dai, Xiaoyu Du, Jinhui Tang
Two-view correspondence pruning aims to accurately remove incorrect correspondences (outliers) from initial ones and is widely applied to various computer vision tasks. Current pop…
IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout
Fei Shen, Yutong Gao, Jian Yu +2
Despite advances in diffusion-based image editing, manipulating multi-object scenes remains challenging. Existing approaches often achieve semantic changes at the expense of struct…
IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design
Fei Shen, Jian Yu, Cong Wang +3
This paper presents IMAGGarment, a fine-grained garment generation (FGG) framework that enables high-fidelity garment synthesis with precise control over silhouette, color, and log…
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model
Fei Shen, Cong Wang, Junyao Gao +4
Recent advances in conditional diffusion models have shown promise for generating realistic TalkingFace videos, yet challenges persist in achieving consistent head movement, synchr…
A Competitive Method for Dog Nose-print Re-identification
Fei Shen, Zhe Wang, Zijun Wang +4
Vision-based pattern identification (such as face, fingerprint, iris etc.) has been successfully applied in human biometrics for a long history. However, dog nose-print authenticat…