I am Tiantian Li, a MS Student at the College of Computer Science and Electronic Engineering, Hunan University, and advised by Prof. Gaobo Yang.
I previously focused on Intelligent Video/Imgae Coding, blending traditional standards, such as AVC and HEVC, and deep-learning methods. I am extremely interested in Human Computer Interaction, especially Human-AI Interaction or Accessibility.
I am keen to contribute to the practical implementation of the HCI community and design more accessible and affordable products for the public.
Education
🏫 Master in Computer Science and Electronic Engineering, Hunan University. 2022-Present
🏫 Bachelor in Information Engineering, Sichuan Agricultural University. 2018 - 2022
Research Interests
- Intelligent Video/Image Coding
- Computer Vision
- Human Computer Interaction (HCI)
- VR/AR
Research
- Learned lossless medical images compression via dual-transform and subimage-wise auto-regreession. 2023
- Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression. 2024
Internship
- 🖥️ Image Algorithm Engineer, Shenzhen AiXieSheng Technology Co., Ltd. 3/2022-12/2023
- Developed a suite of lightweight customized image codecs with different rates.
- Collaborated with digital IC engineers to optimize the efficiency of display chipsets and test visual effects on screens.
- Implemented compression of Luminance Demura data utilizing the Demura compensation algorithm at low bitrates.
Services
📃 Reviewer of ACM Multimedia 2024.