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dhruvinci/README.md

Dhruva Chakravarthi

I work on getting machines to understand how people move, and how they interact: where two people touch, how their limbs wrap, how far apart they really are, measured in 3D and over time from ordinary video. Independent researcher, based in Bangalore. More at dhruva.life.

Research (one repo per thread, numbers sourced, negative results kept; index and timeline)

engage3d Two-person engagement in 3D from one camera: pre-registered experiments, a public model
moveharness The harness and scorer from my CAISc 2026 paper on faithful human-movement understanding
movement-research Measuring movement under contact from one camera, retractions kept
kakashi-autolabel Auto-labelling combat video with a VLM agent and SAM 3.1, checked by hand
limb-entanglement Probing a 27B VLM for spatial information, and a tangle tracker
fast-slow-vision Can a small fast model describe people well enough to reason on?
vlm-experiments Where it started: VLM pipelines for long grappling video

Also built: uru-mon (a creature-collecting game across Bengaluru) · pushit.tv (the indie music scene, one tape at a time) · keepr (a dead man's switch for crypto) · kakashi.ai (an AI training partner for jiu-jitsu)

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  1. engage3d engage3d Public

    engage3D: measuring two-person engagement in 3D from a single camera (pre-registered experiments)

    Python

  2. moveharness moveharness Public

    MoveHarness: the harness and deterministic scorer from the CAISc 2026 paper on faithful human-movement understanding with VLMs

    Python

  3. research research Public

    Index of Dhruva Chakravarthi's research, 2025-2026: human movement and engagement from ordinary video

    Python

  4. uru-mon uru-mon Public

    A creature-collecting adventure across Bengaluru, in the browser and on phones

    Python