6 citations · 6 across the 11 of their papers we have counts for
10 papers · 1 filter
VizAnchor: Decoding Manipulation Intent from Tampering Visualizations via Dual-Anchor Reasoning
Xiaotian Zhang, Huayuan Ye, Haiyang Zhang +3
Data visualizations are widely used for communicating information, but they are also vulnerable to intentional manipulations that induce misleading interpretations. Existing method…
VizDefender: Unmasking Visualization Tampering through Proactive Localization and Intent Inference
Sicheng Song, Yanjie Zhang, Zixin Chen +3
The integrity of data visualizations is increasingly threatened by image editing techniques that enable subtle yet deceptive tampering. Through a formative study, we define this ch…
MPJudge: Towards Perceptual Assessment of Music-Induced Paintings
Shiqi Jiang, Tianyi Liang, Huayuan Ye +2
Music induced painting is a unique artistic practice, where visual artworks are created under the influence of music. Evaluating whether a painting faithfully reflects the music th…
VQualA 2025 Challenge on Face Image Quality Assessment: Methods and Results
Sizhuo Ma, Wei-Ting Chen, Qiang Gao +56
Face images play a crucial role in numerous applications; however, real-world conditions frequently introduce degradations such as noise, blur, and compression artifacts, affecting…
PPJudge: Towards Human-Aligned Assessment of Artistic Painting Process
Shiqi Jiang, Xinpeng Li, Xi Mao +2
Artistic image assessment has become a prominent research area in computer vision. In recent years, the field has witnessed a proliferation of datasets and methods designed to eval…
VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval
Huayuan Ye, Juntong Chen, Shenzhuo Zhang +3
The dissemination of visualizations is primarily in the form of raster images, which often results in the loss of critical information such as source code, interactive features, an…
Robust Message Embedding via Attention Flow-Based Steganography
Huayuan Ye, Shenzhuo Zhang, Shiqi Jiang +5
Image steganography can hide information in a host image and obtain a stego image that is perceptually indistinguishable from the original one. This technique has tremendous potent…
TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
Tianyi Liang, Jiangqi Liu, Yifei Huang +4
Text-to-image (T2I) generation has made remarkable progress in producing high-quality images, but a fundamental challenge remains: creating backgrounds that naturally accommodate t…
AACP: Aesthetics assessment of children's paintings based on self-supervised learning
Shiqi Jiang, Ning Li, Chen Shi +3
The Aesthetics Assessment of Children's Paintings (AACP) is an important branch of the image aesthetics assessment (IAA), playing a significant role in children's education. This t…
InvVis: Large-Scale Data Embedding for Invertible Visualization
Huayuan Ye, Chenhui Li, Yang Li +1
We present InvVis, a new approach for invertible visualization, which is reconstructing or further modifying a visualization from an image. InvVis allows the embedding of a signifi…