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Little-Podi/README.md

👋Hi there, this is Shenyuan Gao

Model Card

I am currently a 3rd-year Ph.D. student at HKUST.

Local Minima

Please find my up-to-date [Resume] to check my current status.

Region of Interests

  • Embodied AI: Autonomous Driving, Generalist Robot, Real-World Decision Making
  • Generative AI: World Model, Diffusion Model, Vision-Language Foundation Model

Selected Checkpoints

Latent Representation

I was born in the last year of the 20th century (May 17th, 2000). I hope to live until the 22nd century so that my life would span three centuries. The Chinese meanings of each word in my name (高深远) are "High", "Deep", "Far", respectively.

Multi-Stage Pre-Training

  • Ph.D. in Electronic and Computer Engineering, 2022-2026 (expected)
    • Hong Kong University of Science and Technology, under the tutelage of Prof. Jun Zhang (IEEE Fellow)
  • B.Eng. in Electronic Information Engineering, 2018-2022
    • Huazhong University of Science and Technology, Advanced Class (GPA 3.9/4.0, ranked 1st)

Rewards

Contacts

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  1. AdaWorld Public

    The PyTorch implementation of paper: "AdaWorld: Learning Adaptable World Models with Latent Actions".

    Python 48 3

  2. OpenDriveLab/Vista Public

    [NeurIPS 2024] A Generalizable World Model for Autonomous Driving

    Python 693 49

  3. GRM Public

    [CVPR'23] The official PyTorch implementation of our CVPR 2023 paper: "Generalized Relation Modeling for Transformer Tracking".

    Python 76 8

  4. AiATrack Public

    [ECCV'22] The official PyTorch implementation of our ECCV 2022 paper: "AiATrack: Attention in Attention for Transformer Visual Tracking".

    Python 112 12

  5. Transformer_Tracking Public

    This repository is a paper digest of Transformer-related approaches in visual tracking tasks.

    293 30

  6. Collaborative_Perception Public

    This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

    470 55

198 contributions in the last year

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Activity overview

Loading A graph representing Little-Podi's contributions from March 31, 2024 to April 04, 2025. The contributions are 97% commits, 2% issues, 1% pull requests, 0% code review.   Code review 2% Issues 1% Pull requests 97% Commits

Contribution activity

April 2025

Little-Podi has no activity yet for this period.
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