Han-Hung Lee

PhD Student at Simon Fraser University

About Me

Hello, I am Han-Hung Lee and I received my B.S. degree in the Undergraduate Program of Electrical Engineering and Computer Science from NTHU. Currently I am a PhD student at Simon Fraser University under the supervision of professor Angel Xuan Chang. A few of my research interests include 3D Computer Vision, Natural Language Processing and Reinforcement Learning.


Understanding Pure CLIP Guidance for Voxel Grid NeRF Models

Han-Hung Lee and Angel X. Chang

Project Page
  • We explore how image augmentations and explicit/implicit voxel grid NeRF models effect pure CLIP guidance.

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Graph Neural Networks for 3D Referring Instance Segmentation (IIS Sinica)

Pin-Hao Huang*, Han-Hung Lee*, Hwann-Tzong Chen, Tyng-Luh Liu

Project Page
  • We use Text-guided Graph Neural Networks with a 3D instance segmentation model to improve the referring instance segmentation task.
  • Accepted to AAAI 2021

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Stylizing Audio Reactive Visuals

Han-Hung Lee, Da-Gin Wu, and Hwann-Tzong Chen

Project Page
  • We use frequency changes in songs to traverse the latent space of GANs, forming video clips that react to audio to create audio reactive visuals for artistic purposes.
  • Accepted to NeurIPS 2019 Workshop on Machine Learning for Creativity and Design


Simon Fraser University

PhD Program in Computing Science

Sept. 2021 - Now

  • Supervisor: Angel Xuan Chang (https://angelxuanchang.github.io/)

National Tsing Hua University

B.S. in Undergraduate Program of Electrical Engineering and Computer Science

Sept. 2016 - June 2020

  • Overall GPA: 3.87/4.3
  • Coursework: Deep Learning, Statistical Learning, Computer Vision, Graphics Programming Game Programming


Institute of Information Science, Academia Sinica

Undergraduate Research Assistant

July 2019 - July 2021

  • Implemented baseline models for neural architecture search methods
  • Worked on novel method for 3D referring instance segmentation achieving SOTA results on ScanRefer and ReferIt3D