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I may be slow to respond.
  • University of Surrey
  • London
  • 23:33 (UTC)

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happy-hsy/README.md

Hi there 👋

  • 🔭 My research interests focus on discovering the underlying potential of modern models that can empower an increasingly broad range of downstream tasks, spanning perception, reconstruction, generation. I believe that pretrained foundation models possess remarkable intelligence, yet they often lack the specialized capabilities required for real-world downstream applications. This motivates my work toward bridging this gap directly. Recently, I have been deeply inspired by the impressive progress of generative video models. These models appear to encode rich world knowledge, such as physical dynamics and multi-image interactions, capturing what I would describe as the abstract relationships that govern the world. I believe such models have the potential to evolve into \emph{world models} capable of simulating complex real-world behaviors and powering a wide variety of intelligent tasks. I am actively exploring this direction and welcome discussions or collaboration ideas.
  • 📫 How to reach me: haosen.yang.6@gmail.com

Pinned Loading

  1. BCNet BCNet Public

    【AAAI 2022】Temporal Action Proposal Generation with Background Constraint

    Python 17

  2. MotionMAE MotionMAE Public

    Self-Supervised Video Representation Learning with Motion-Aware Masked Autoencoders

    23 1

  3. Surrey-UP-Lab/RegionSpot Surrey-UP-Lab/RegionSpot Public

    Recognize Any Regions

    Python 122 4

  4. Surrey-UP-Lab/GS-LPM Surrey-UP-Lab/GS-LPM Public

    Localized Gaussian Point Management

    Python 81 6