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Focusing
🎯
Focusing
146 followers · 112 following
  • Nanyang Technological University
  • 50 Nanyang Avenue, Singapore
  • 19:25 (UTC +08:00)
  • X @HaoningTimothy

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Starstruckx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Pair ExtraordinaireAchievement: Starstruckx2Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Organizations

@VQAssessment @Q-Future
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teowu/README.md
  • 👋 Hi, I’m Teo (Timothy) Wu, Final Year PhD Candidate in Nanyang Technological University 🇸🇬, Resume, Homepage
  • 🌱 I’m working on efficient+explainable Visual Quality Assessment📹

Visit Q-Future for the works I am recently working on (and most proud of)!

HF Spaces that I maintain:

Pinned Loading

  1. longvideobench/LongVideoBench longvideobench/LongVideoBench Public

    Official Dataloader and Evaluation Scripts for LongVideoBench.

    Python 10

  2. Q-Future/A-Bench Q-Future/A-Bench Public

    [LMM + AIGC] What do we expect from LMMs as AIGI evaluators and how do they perform?

    113 3

  3. Q-Future/Co-Instruct Q-Future/Co-Instruct Public

    ④[ECCV 2024, Comparison among Multiple Images!] A study on open-ended multi-image quality comparison: a dataset, a model and a benchmark.

    54 4

  4. Q-Future/Q-Align Q-Future/Q-Align Public

    ③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.

    Python 197 15

  5. Q-Future/Q-Instruct Q-Future/Q-Instruct Public

    ②[CVPR 2024] Low-level visual instruction tuning, with a 200K dataset and a model zoo for fine-tuned checkpoints.

    Python 176 8

  6. Q-Future/Q-Bench Q-Future/Q-Bench Public

    ①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.

    Jupyter Notebook 211 12