Name: Xudong (Tony) Hong
Type: User
Company: Saarland University
Bio: PhD student, supervised by Vera Demberg at Saarland University, working on visually grounded story generation with VLMs.
Twitter: xudong_hong
Location: Saarbrücken, Germany
Blog: http://xudonghong.me/
Xudong (Tony) Hong's Projects
A delightful community-driven (with 1,200+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
A frame-semantic parsing system based on a softmax-margin SegRNN.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
VGG16 trained on Places365 model in Keras
Code for a web demo of Plan, Write, and Revise: a neural system for interactive open-domain story generation
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Useful Python code snippets
The Big-&-Extending-Repository-of-Transformers: PyTorch pretrained models for Google's BERT, OpenAI GPT & GPT-2 and Google/CMU Transformer-XL.
Geometric Deep Learning Extension Library for PyTorch
Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)
Code for NAACL paper
Deep Reinforcement Learning For Sequence to Sequence Models
An R Library for Multi-task Learning
Web based semantic visualization tool
Frame-Semantic and PropBank Semantic Role Labeling with Syntactic Scaffolding.
A new codebase for a variety of Scene Graph Generation methods(2020). Visualization & SG Extraction on custom images/datasets are also supported.
A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).
scikit-learn: machine learning in Python
Two-Stage Movie Scripts Summarization: An Efficient Method For Low-resource Long Documents Summarization @ ASCW 2022 by UdS
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
Code for "A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation" (EMNLP 2018)
Sematic Role Labeling with syntactic K-pruning algorithm
UCI chess engine
AMR Parsing as Sequence-to-Graph Transduction
Deep Semantic Role Labeling with Self-Attention