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20202026
most citedDiffusionInst: Diffusion Model for Instance Segmentation

23 citations · 52 across the 21 of their papers we have counts for

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11 papers · 1 filter

cs.CV2024

Efficient Transfer Learning for Video-language Foundation Models

Haoxing Chen, Zizheng Huang, Yan Hong +5

Pre-trained vision-language models provide a robust foundation for efficient transfer learning across various downstream tasks. In the field of video action recognition, mainstream…

cs.CV2024

DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Haoxing Chen, Yan Hong, Zizheng Huang +8

Recently, video generation techniques have advanced rapidly. Given the popularity of video content on social media platforms, these models intensify concerns about the spread of fa…

cs.CV2024

Conditional Prototype Rectification Prompt Learning

Haoxing Chen, Yaohui Li, Zizheng Huang +6

Pre-trained large-scale vision-language models (VLMs) have acquired profound understanding of general visual concepts. Recent advancements in efficient transfer learning (ETL) have…

cs.CV2023

Segment Anything Model Meets Image Harmonization

Haoxing Chen, Yaohui Li, Zhangxuan Gu +3

Image harmonization is a crucial technique in image composition that aims to seamlessly match the background by adjusting the foreground of composite images. Current methods adopt…

cs.CV2023

Boosting Audio-visual Zero-shot Learning with Large Language Models

Haoxing Chen, Yaohui Li, Yan Hong +6

Audio-visual zero-shot learning aims to recognize unseen classes based on paired audio-visual sequences. Recent methods mainly focus on learning multi-modal features aligned with c…

cs.CV2023★ 2 cited

Backpropagation Path Search On Adversarial Transferability

Zhuoer Xu, Zhangxuan Gu, Jianping Zhang +3

Deep neural networks are vulnerable to adversarial examples, dictating the imperativeness to test the model's robustness before deployment. Transfer-based attackers craft adversari…

cs.CV2023★ 6 cited

On the Robustness of Latent Diffusion Models

Jianping Zhang, Zhuoer Xu, Shiwen Cui +3

Latent diffusion models achieve state-of-the-art performance on a variety of generative tasks, such as image synthesis and image editing. However, the robustness of latent diffusio…

cs.CV2023

Mobile User Interface Element Detection Via Adaptively Prompt Tuning

Zhangxuan Gu, Zhuoer Xu, Haoxing Chen +3

Recent object detection approaches rely on pretrained vision-language models for image-text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it…

cs.CV2023★ 2 cited

DiffUTE: Universal Text Editing Diffusion Model

Haoxing Chen, Zhuoer Xu, Zhangxuan Gu +6

Diffusion model based language-guided image editing has achieved great success recently. However, existing state-of-the-art diffusion models struggle with rendering correct text an…

cs.CV2022★ 23 cited

DiffusionInst: Diffusion Model for Instance Segmentation

Zhangxuan Gu, Haoxing Chen, Zhuoer Xu +3

Diffusion frameworks have achieved comparable performance with previous state-of-the-art image generation models. Researchers are curious about its variants in discriminative tasks…

cs.CV2022★ 8 cited

A2: Efficient Automated Attacker for Boosting Adversarial Training

Zhuoer Xu, Guanghui Zhu, Changhua Meng +5

Based on the significant improvement of model robustness by AT (Adversarial Training), various variants have been proposed to further boost the performance. Well-recognized methods…