Holistically-Attracted Wireframe Parsing
The code and the DIW dataset for "Learning From Documents in the Wild to Improve Document Unwarping" (SIGGRAPH 2022)
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
Official PyTorch implementation of Global Context Vision Transformers
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
source code for Table Generation
Scene text recognition
Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
You Only Look at One Sequence (NeurIPS 2021)
HybridNets: End-to-End Perception Network
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"
Vision Transformer Cookbook with Tensorflow
Table Structure Recognition (TSR) solution
Official PyTorch implementation for Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features (MATRN).
SOTA Semantic Segmentation Models in PyTorch
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention
Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at SDU@AAAI-22