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Adam W. Harley

@AdamWHarley • 2,337 subscribers

Research Scientist at Meta. I did a postdoc at Stanford and PhD at CMU. I work on computer vision and machine learning.

Shorts

The visualizer in the AllTracker repo is now GPU-based (much faster), with new options to improve clarity. Very satisfying to see 3D shape "pop out" from the tracking.

The visualizer in the AllTracker repo is now GPU-based (much faster), with new options to improve clarity. Very satisfying to see 3D shape "pop out" from the tracking.

20,402 просмотров

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Excellent new fine-grained tracking from DeepMind: TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement arxiv: project: tldr: TapNet for localization then PIPs-style refinement; outperforms everything!

Excellent new fine-grained tracking from DeepMind: TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement arxiv: project: tldr: TapNet for localization then PIPs-style refinement; outperforms everything!

203,971 просмотров • 3 лет назад

We made a @gradio demo for AllTracker! AllTracker is the current state-of-the-art for general-purpose point tracking. The demo gives a good sense of the accuracy---try your own videos and see for yourself! 🔗 Demo: 💻 Code:

We made a @gradio demo for AllTracker! AllTracker is the current state-of-the-art for general-purpose point tracking. The demo gives a good sense of the accuracy---try your own videos and see for yourself! 🔗 Demo: 💻 Code:

41,381 просмотров • 1 год назад

AllTracker: Efficient Dense Point Tracking at High Resolution If you're using any point tracker in any project, this is likely a drop-in upgrade—improving speed, accuracy, and density, all at once.

AllTracker: Efficient Dense Point Tracking at High Resolution If you're using any point tracker in any project, this is likely a drop-in upgrade—improving speed, accuracy, and density, all at once.

29,937 просмотров • 1 год назад

Very excited to speak tomorrow at the CV4Animals workshop #CVPR2026, where I will be talking about the huge team effort from my past year at Stanford: "Building a Foundation Model of Motion: Tracking Anything at Any Granularity" Talk details: #CVPR2024

Very excited to speak tomorrow at the CV4Animals workshop #CVPR2026, where I will be talking about the huge team effort from my past year at Stanford: "Building a Foundation Model of Motion: Tracking Anything at Any Granularity" Talk details: #CVPR2024

26,205 просмотров • 2 лет назад

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