3 citations · 3 across the 7 of their papers we have counts for
10 papers
From Imitation to Innovation: The Emergence of AI Unique Artistic Styles and the Challenge of Copyright Protection
Zexi Jia, Chuanwei Huang, Yeshuang Zhu +6
Current legal frameworks consider AI-generated works eligible for copyright protection when they meet originality requirements and involve substantial human intellectual input. How…
A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets
Zexi Jia, Chuanwei Huang, Hongyan Fei +6
Vision-language models (VLMs) often struggle with compositional reasoning due to insufficient high-quality image-text data. To tackle this challenge, we propose a novel block-based…
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
Hanlei Zhang, Zhuohang Li, Yeshuang Zhu +5
Multimodal language analysis is a rapidly evolving field that leverages multiple modalities to enhance the understanding of high-level semantics underlying human conversational utt…
RDTF: Resource-efficient Dual-mask Training Framework for Multi-frame Animated Sticker Generation
Zhiqiang Yuan, Ting Zhang, Peixiang Luo +5
Recently, significant advancements have been achieved in video generation technology, but applying it to resource-constrained downstream tasks like multi-frame animated sticker gen…
Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain Generation
Zexi Jia, Chuanwei Huang, Hongyan Fei +4
Text-to-image diffusion models have shown remarkable capabilities of generating high-quality images closely aligned with textual inputs. However, the effectiveness of text guidance…
Semantic to Structure: Learning Structural Representations for Infringement Detection
Chuanwei Huang, Zexi Jia, Hongyan Fei +4
Structural information in images is crucial for aesthetic assessment, and it is widely recognized in the artistic field that imitating the structure of other works significantly in…
ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation
Ting Zhang, Zhiqiang Yuan, Yeshuang Zhu +1
High-quality animated stickers usually contain transparent channels, which are often ignored by current video generation models. To generate fine-grained animated transparency chan…
VSD2M: A Large-scale Vision-language Sticker Dataset for Multi-frame Animated Sticker Generation
Zhiqiang Yuan, Jiapei Zhang, Ying Deng +3
As a common form of communication in social media,stickers win users' love in the internet scenarios, for their ability to convey emotions in a vivid, cute, and interesting way. Pe…
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning
Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang +2
Recent studies have shown the impressive efficacy of counterfactually augmented data (CAD) for reducing NLU models' reliance on spurious features and improving their generalizabili…
Selecting Stickers in Open-Domain Dialogue through Multitask Learning
Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei +2
With the increasing popularity of online chatting, stickers are becoming important in our online communication. Selecting appropriate stickers in open-domain dialogue requires a co…