activity
20232026
most citedDeep Equilibrium Multimodal Fusion

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Break the Brake, Not the Wheel: Untargeted Jailbreak via Entropy Maximization

Mengqi He, Xinyu Tian, Xin Shen +6

Recent studies show that gradient-based universal image jailbreaks on vision-language models (VLMs) exhibit little or no cross-model transferability, casting doubt on the feasibili…

cs.CV2025

High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models

Mengqi He, Xinyu Tian, Xin Shen +4

Vision-language models (VLMs) achieve remarkable performance but remain vulnerable to adversarial attacks. Entropy, as a measure of model uncertainty, is highly correlated with VLM…

cs.CV2025

What Makes for Text to 360-degree Panorama Generation with Stable Diffusion?

Jinhong Ni, Chang-Bin Zhang, Qiang Zhang +1

Recent prosperity of text-to-image diffusion models, e.g. Stable Diffusion, has stimulated research to adapt them to 360-degree panorama generation. Prior work has demonstrated the…

cs.CV2025

v-CLR: View-Consistent Learning for Open-World Instance Segmentation

Chang-Bin Zhang, Jinhong Ni, Yujie Zhong +1

In this paper, we address the challenging problem of open-world instance segmentation. Existing works have shown that vanilla visual networks are biased toward learning appearance…

cs.CV2023★ 2 cited

Deep Equilibrium Multimodal Fusion

Jinhong Ni, Yalong Bai, Wei Zhang +2

Multimodal fusion integrates the complementary information present in multiple modalities and has gained much attention recently. Most existing fusion approaches either learn a fix…