28 citations · 54 across the 11 of their papers we have counts for
11 papers
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
Baoshuo Kan, Teng Wang, Wenpeng Lu +3
Pre-trained vision-language models, e.g., CLIP, working with manually designed prompts have demonstrated great capacity of transfer learning. Recently, learnable prompts achieve st…
Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation
Guojin Zhong, Jin Yuan, Pan Wang +3
The recently rising markup-to-image generation poses greater challenges as compared to natural image generation, due to its low tolerance for errors as well as the complex sequence…
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Dong Lu, Zhiqiang Wang, Teng Wang +3
Vision-language pre-training (VLP) models have shown vulnerability to adversarial examples in multimodal tasks. Furthermore, malicious adversaries can be deliberately transferred t…
Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval
Haokun Wen, Xuemeng Song, Jianhua Yin +3
The composed image retrieval (CIR) task aims to retrieve the desired target image for a given multimodal query, i.e., a reference image with its corresponding modification text. Th…
Identity-Guided Collaborative Learning for Cloth-Changing Person Reidentification
Zan Gao, Shenxun Wei, Weili Guan +3
Cloth-changing person reidentification (ReID) is a newly emerging research topic that is aimed at addressing the issues of large feature variations due to cloth-changing and pedest…
Semi-Supervised Video Inpainting with Cycle Consistency Constraints
Zhiliang Wu, Hanyu Xuan, Changchang Sun +2
Deep learning-based video inpainting has yielded promising results and gained increasing attention from researchers. Generally, these methods usually assume that the corrupted regi…
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification
Zan Gao, Hongwei Wei, Weili Guan +3
Cloth-changing person reidentification (ReID) is a newly emerging research topic that aims to retrieve pedestrians whose clothes are changed. Since the human appearance with differ…
Disentangled Graph Neural Networks for Session-based Recommendation
Ansong Li, Zhiyong Cheng, Fan Liu +3
Session-based recommendation (SBR) has drawn increasingly research attention in recent years, due to its great practical value by only exploiting the limited user behavior history…
A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval
Zan Gao, Yuxiang Shao, Weili Guan +3
Recently, many view-based 3D model retrieval methods have been proposed and have achieved state-of-the-art performance. Most of these methods focus on extracting more discriminativ…
Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification
Zan Gao, Hongwei Wei, Weili Guan +3
Person reidentification (ReID) is a very hot research topic in machine learning and computer vision, and many person ReID approaches have been proposed; however, most of these meth…
TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
Zan Gao, Chao Sun, Zhiyong Cheng +3
Finding tampered regions in images is a hot research topic in machine learning and computer vision. Although many image manipulation location algorithms have been proposed, most of…