3 citations · 7 across the 19 of their papers we have counts for
9 papers · 1 filter
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion
Haotian Wang, Yuzhe Weng, Yueyan Li +10
Diffusion models have revolutionized the field of talking head generation, yet still face challenges in expressiveness, controllability, and stability in long-time generation. In t…
RFL: Simplifying Chemical Structure Recognition with Ring-Free Language
Qikai Chang, Mingjun Chen, Changpeng Pi +6
The primary objective of Optical Chemical Structure Recognition is to identify chemical structure images into corresponding markup sequences. However, the complex two-dimensional s…
DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation
Hanbo Cheng, Limin Lin, Chenyu Liu +5
Talking head generation intends to produce vivid and realistic talking head videos from a single portrait and speech audio clip. Although significant progress has been made in diff…
UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition
Zhenrong Zhang, Shuhang Liu, Pengfei Hu +4
In the digital era, table structure recognition technology is a critical tool for processing and analyzing large volumes of tabular data. Previous methods primarily focus on visual…
See then Tell: Enhancing Key Information Extraction with Vision Grounding
Shuhang Liu, Zhenrong Zhang, Pengfei Hu +5
In the digital era, the ability to understand visually rich documents that integrate text, complex layouts, and imagery is critical. Traditional Key Information Extraction (KIE) me…
DocMamba: Efficient Document Pre-training with State Space Model
Pengfei Hu, Zhenrong Zhang, Jiefeng Ma +3
In recent years, visually-rich document understanding has attracted increasing attention. Transformer-based pre-trained models have become the mainstream approach, yielding signifi…
SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding
Jiefeng Ma, Yan Wang, Chenyu Liu +6
Accurately identifying and organizing textual content is crucial for the automation of document processing in the field of form understanding. Existing datasets, such as FUNSD and…
SEMv3: A Fast and Robust Approach to Table Separation Line Detection
Chunxia Qin, Zhenrong Zhang, Pengfei Hu +3
Table structure recognition (TSR) aims to parse the inherent structure of a table from its input image. The `"split-and-merge" paradigm is a pivotal approach to parse table structu…
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
Yusheng Dai, Hang Chen, Jun Du +5
Advanced Audio-Visual Speech Recognition (AVSR) systems have been observed to be sensitive to missing video frames, performing even worse than single-modality models. While applyin…