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About

I am a PhD student in the SMU Computer Vision and Machine Learning (CVML) Lab since Aug 2023, greatly honored to be advised by Prof SUN Qianru. Prior to this, I worked as Research Associate in NTU S-Lab (2021-2023), supervised by esteemed Prof LU Shijian. Before that, I have been research intern at Tsinghua University BNSCT Lab (2018-2019), directly advised by Prof LIU Bin. I obtained my graduate and undergraduate degrees from NTU and BUPT, respectively.

Interests

  • Computer vision: Text recognition & detection, image generation, unsupervised learning.
  • Telecommunications: Firewall circumvention, trustable network, switching architecture.
  • Art: Logo design, industrial design, Chinese literature.
  • Music: Techno & trap (Magnusthemagnus, Rezz).

Research

I am working in image generation for Beyond Visible Vision (i.e., vision out of visible spectrums, like radar and medical imagery). Before that, I have been working on unsupervised domain adaptation and unsupervised pre-training in text detection/recognition.

  • Image generation for beyond visible vision [2023]
  • Self-supervised learning in hand-writing/scene text recognition [2022 - 2023]
  • Domain adaptation in scene text detection [2021 - 2022]

Pinned Projects

  • πŸ•Ή OpenAI-Proxy: OpenAI GPT3/GPT4 api access distribution/control/tracking tool.

  • πŸͺͺ LaTexCV: Academic C.V. template in Latex with extensive block examples.

  • πŸ›£ VPGNet-PyTorch: Pytorch implementation of VPG Net (Caffe) for lane and road mark detection.

  • πŸ“ NTU EEE Dissertation: Latex template for Nanyang Technological University M.Sc dissertation report.

  • 🩻 SLC: Medical image segmentation & classification framework based on Keras, convenient experiment tracking.

  • πŸ—£ A2SRT: Speech recognition tool for subtitle extracting. Good support for Indian and Singaporean English.

Contact

Research discussion via doem1997 {at} gmail.com

{+7}zfxfB.%RWQ;6.:c0f?k}'s Projects

mae-pytorch icon mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

mmocr icon mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

mmselfsup icon mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

psenet icon psenet

Official Pytorch implementations of PSENet.

rfc-1928_chinese_edition icon rfc-1928_chinese_edition

This is an unofficial translated version of RFC-1928(SOCKS Protocol Version 5), the famous network socks design protocol.

routing-algorithms icon routing-algorithms

Implementation for popular routing algorithms like dijkstra, bellman ford (directed & undirected), Astar with GUI

sc-cam icon sc-cam

SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)

scenetextpapers icon scenetextpapers

Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized

slc_chen icon slc_chen

Image segmentation and classification framework, based on KERAS, features in controlling of large-scale experiments.

textfusenet icon textfusenet

A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".

transformers icon transformers

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ts_joiner icon ts_joiner

Joiner for sequence of .ts video files into a combined .mp4 video file

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

visd-dataset icon visd-dataset

text detection dataset VISD: Verisimilar image synthesis for accurate detection and recognition of texts in scenes

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