MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification

1 code implementation • 19 Oct 2024 • Yin Li, Liangwei Wang, Shiyuan Piao, Boo-Ho Yang, Ziyue Li, Wei Zeng, Fugee Tsung

To address these challenges, we introduce MCCoder, an LLM-powered system designed to generate code that addresses complex motion control tasks, with integrated soft-motion data verification.

Code Generation RAG +1

TypeDance: Creating Semantic Typographic Logos from Image through Personalized Generation

no code implementations • 20 Jan 2024 • Shishi Xiao, Liangwei Wang, Xiaojuan Ma, Wei Zeng

Semantic typographic logos harmoniously blend typeface and imagery to represent semantic concepts while maintaining legibility.

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding

1 code implementation • 19 Dec 2022 • Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu

While various vision-language pre-training objectives are studied in existing solutions, the document textline, as an intrinsic granularity in VDU, has seldom been explored so far.

Contrastive Learning document understanding +2

One-shot Key Information Extraction from Document with Deep Partial Graph Matching

no code implementations • 26 Sep 2021 • Minghong Yao, Zhiguang Liu, Liangwei Wang, Houqiang Li, Liansheng Zhuang

However, collecting and labeling a large dataset is time-consuming and is not a user-friendly requirement for many cloud platforms.

Graph Matching Key Information Extraction

On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering

no code implementations • CVPR 2020 • Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo, Lianwen Jin, Chee Seng Chan, Anton Van Den Hengel, Liangwei Wang

Visual Question Answering (VQA) methods have made incredible progress, but suffer from a failure to generalize.

Question Answering Referring Expression +1

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

16 code implementations • CVPR 2020 • Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, Lianwen Jin, Liangwei Wang

Our contributions are three-fold: 1) For the first time, we adaptively fit arbitrarily-shaped text by a parameterized Bezier curve.

Scene Text Detection Text Detection +1

Latent Community Discovery with Network Regularization for Core Actors Clustering

no code implementations • COLING 2012 • Guangxu Xun, Yujiu Yang, Liangwei Wang, Wenhuang Liu

Clustering Topic Models