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Focusing
160 followers · 114 following
  • Nanyang Technological University
  • 50 Nanyang Avenue, Singapore
  • 02:17 (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 am working on Large Multi-modal Models (LMMs), especially on videos and other long-form multi-modal inputs. See our Neurips 2024 D&B, LongVideoBench for the first-ever benchmark designed for long-context video-text interleaved inputs!

Prior to working on general LMMs, I am also the creator of Q-Future, a project that aims to utilize LMMs to boost low-level vision, visual evaluation, and related topics. Here are the two representative works:

  • Q-Align (Visual Scorer): Open in Huggingface Spaces
  • Co-Instruct (Pro-level Low-level Vision-Language Assistant/Chatbot): Open in Huggingface Spaces

See my top Repos:

Pinned Loading

  1. longvideobench/LongVideoBench longvideobench/LongVideoBench Public

    [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.

    Python 58 2

  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?

    136 3

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

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

    64 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 250 16

  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 190 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 238 12