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shengzhang90's Projects

textray icon textray

Project code for ACM MM2020 paper: "TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection"

texture-vs-shape icon texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

ties-2.0 icon ties-2.0

Code for: S.R. Qasim, H. Mahmood, and F. Shafait, Rethinking Table Recognition using Graph Neural Networks (2019)

torchcv icon torchcv

A PyTorch-Based Framework for Deep Learning in Computer Vision

tps_stn_pytorch icon tps_stn_pytorch

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

tpu icon tpu

Reference models and tools for Cloud TPUs.

transformer icon transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

trax icon trax

Trax — your path to advanced deep learning

treedecoder icon treedecoder

A Tree-Structured Decoder for Image-to-Markup Generation

unilm icon unilm

UniLM - Unified Language Model Pre-training

unires icon unires

Model-based super-resolution of medical images, in PyTorch.

vearch icon vearch

A distributed system for efficient similarity search of deep learning vectors

versatile-filters icon versatile-filters

Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

vl-bert icon vl-bert

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

voxel2mesh icon voxel2mesh

Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data

wap icon wap

Watch, Attend and Parse for Handwritten Mathematical Expression Recognition

wtw-dataset icon wtw-dataset

This is an official implementation for the WTW Dataset in "Parsing Table Structures in the Wild " on table detection and table structure recognition.

xfund icon xfund

XFUND: A Multilingual Form Understanding Benchmark

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