6 papers
When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion?
Qilang Ye, Wei Zeng, Meng Liu +4
Can Multimodal Large Language Models (MLLMs) discern confused objects that are visually present but audio-absent? To study this, we introduce a new benchmark, AV-ConfuseBench, whic…
TADoc: Robust Time-Aware Document Image Dewarping
Fangmin Zhao, Weichao Zeng, Zhenhang Li +2
Flattening curved, wrinkled, and rotated document images captured by portable photographing devices, termed document image dewarping, has become an increasingly important task with…
Uni-DocDiff: A Unified Document Restoration Model Based on Diffusion
Fangmin Zhao, Weichao Zeng, Zhenhang Li +4
Removing various degradations from damaged documents greatly benefits digitization, downstream document analysis, and readability. Previous methods often treat each restoration tas…
The Devil is in Fine-tuning and Long-tailed Problems:A New Benchmark for Scene Text Detection
Tianjiao Cao, Jiahao Lyu, Weichao Zeng +2
Scene text detection has seen the emergence of high-performing methods that excel on academic benchmarks. However, these detectors often fail to replicate such success in real-worl…
Visual Text Processing: A Comprehensive Review and Unified Evaluation
Yan Shu, Weichao Zeng, Fangmin Zhao +9
Visual text is a crucial component in both document and scene images, conveying rich semantic information and attracting significant attention in the computer vision community. Bey…
Beyond Flat Text: Dual Self-inherited Guidance for Visual Text Generation
Minxing Luo, Zixun Xia, Liaojun Chen +7
In real-world images, slanted or curved texts, especially those on cans, banners, or badges, appear as frequently, if not more so, than flat texts due to artistic design or layout…