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Hi there πŸ‘‹

  • πŸ”­ My academic pursuit in Computer Vision and Deep Learning initially centered around video understanding, with a focus on action recognition and detection. Later, I explored the realm of Self-supervised Learning, studying how machines can learn autonomously from inherent data structures. Recently, my interest has gravitated towards the intersection of 3D/4D World Reconstruction and Understanding. My primary research now seeks to reconstruct/generate structured/semantic 3D/4D world for intelligent interactions, bridging 3D/4D construction with semantic comprehension. The ultimate aim is to harness these models to facilitate seamless communication between machines, humans, and their environments.
  • πŸ“« How to reach me: [email protected]

Haosen Yang's Projects

awesome-3d-gaussian-splatting icon awesome-3d-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

awesome-video-diffusion icon awesome-video-diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

bcnet icon bcnet

【AAAI 2022】Temporal Action Proposal Generation with Background Constraint

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

gs-lpm icon gs-lpm

Localized Gaussian Point Management

motionmae icon motionmae

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

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