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Akide Liu AkideLiu

PhD Candidate @ ZIP Lab, Monash University

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@UAws

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I am Akide Liu

AkideLiu

  • I'm currently in the field of Efficient Vision Large Language Modeling (vLLM) Research
  • My primary research direction is AIGC including diffusion synthesis and large language models.
  • Check out my recent research at MiniCache | Motion Mamba | BPKD | SegViTv2
  • Check out my recent CV/NLP/AML coursework at CV′3315 Is All You Need | External Reasoning | Personalised Video Generation
  • Preferable Programming Language (Research) -- Python
  • Interested in machine learning, artificial intelligence, and Computer Vision.
  • Experienced in cloud computing and virtualization, including vSphere cluster, Kubernetes cluster, and rancher.
  • Research Contact: akide (dot) liu (at) monash (dot) edu
  • Other Enquiries: mail+research (at) llycloud (dot) com

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  1. 🔥 [ECCV 2024] Motion Mamba: Efficient and Long Sequence Motion Generation

    JavaScript 144 3

  2. Official Pytorch Implementation of BPKD : Boundary Privileged Knowledge Distillation For Semantic Segmentation

    Python 23 4

  3. Official Pytorch Implementation of SegViT: Semantic Segmentation with Plain Vision Transformers

    Python 261 26

  4. OpenMMLab Foundational Library for Training Deep Learning Models

    Python 1.5k 447

  5. A fascinating tool that synchronizes your timetable to University Managed Office365 Instance Or any preferable calendar management system. e.g. Google calendar, iCloud calendar ...

    Python 10 2

  6. CV′3315 Is All You Need – Semantic Segmentation Course Competition @ The University of Adelaide

    Jupyter Notebook 22 5