2 citations · 3 across the 8 of their papers we have counts for
8 papers
TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment
Chunxia Qin, Chenyu Liu, Pengcheng Xia +4
Tables are pervasive in diverse documents, making table recognition (TR) a fundamental task in document analysis. Existing modular TR pipelines separately model table structure and…
REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
Haotian Wang, Yuzhe Weng, Jun Du +6
Diffusion models have significantly advanced the field of talking head generation (THG). However, slow inference speeds and prevalent non-autoregressive paradigms severely constrai…
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation
An Yang, Chenyu Liu, Jun Du +6
3D Gaussian Splatting (3D-GS) has emerged as an efficient 3D representation and a promising foundation for semantic tasks like segmentation. However, existing 3D-GS-based segmentat…
READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation
Haotian Wang, Yuzhe Weng, Jun Du +7
The introduction of diffusion models has brought significant advances to the field of audio-driven talking head generation. However, the extremely slow inference speed severely lim…
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…
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition
Chenyu Liu, Jia Pan, Jinshui Hu +6
Recently, Handwritten Mathematical Expression Recognition (HMER) has gained considerable attention in pattern recognition for its diverse applications in document understanding. Cu…
1DFormer: a Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking
Shi Yin, Shijie Huan, Shangfei Wang +5
Recently, heatmap regression methods based on 1D landmark representations have shown prominent performance on locating facial landmarks. However, previous methods ignored to make d…
SEMv2: Table Separation Line Detection Based on Instance Segmentation
Zhenrong Zhang, Pengfei Hu, Jiefeng Ma +6
Table structure recognition is an indispensable element for enabling machines to comprehend tables. Its primary purpose is to identify the internal structure of a table. Neverthele…