Pith Number

pith:24ZSBNZ2

pith:2026:24ZSBNZ2MGR6SYJGWX32IKZWWV

not attested not anchored not stored refs pending

MAEPose: Self-Supervised Spatiotemporal Learning for Human Pose Estimation on mmWave Video

Kevin Chetty, Nadia Bianchi-Berthouze, Xijia Wei, Youngjun Cho, Yuan Fang

MAEPose shows masked autoencoding on unlabeled mmWave videos produces representations for accurate human pose estimation.

arxiv:2605.00242 v2 · 2026-04-30 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{24ZSBNZ2MGR6SYJGWX32IKZWWV}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

MAEPose consistently outperforms state-of-the-art baselines by up to 22.1% in MPJPE p<0.05, and maintains robust accuracy under zero-shot bystander interference with only a 6.5% error increase.

C2weakest assumption

The assumption that pre-training with masked autoencoding on unlabelled mmWave spectrogram videos learns representations that generalize to accurate multi-frame pose estimation via the heatmap decoder, particularly across different datasets and interference conditions.

C3one line summary

MAEPose is a masked autoencoder that learns spatiotemporal representations from unlabeled mmWave radar videos to estimate human poses, outperforming baselines by up to 22.1% in MPJPE.

Receipt and verification

First computed	2026-06-04T01:08:50.621397Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d73320b73a61a3e96126b5f7a42b36b574bfa570b04bfa82e33568a42d768d7a

Aliases

arxiv: 2605.00242 · arxiv_version: 2605.00242v2 · doi: 10.48550/arxiv.2605.00242 · pith_short_12: 24ZSBNZ2MGR6 · pith_short_16: 24ZSBNZ2MGR6SYJG · pith_short_8: 24ZSBNZ2

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/24ZSBNZ2MGR6SYJGWX32IKZWWV \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d73320b73a61a3e96126b5f7a42b36b574bfa570b04bfa82e33568a42d768d7a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6f036031548802a0d1126f126c3c646635402dffabbfe8dd51de27bd2a7cbe1c",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-30T21:23:03Z",
    "title_canon_sha256": "186908df234adc6e29ddefc6dfb7de44a7f55dfb342f12d71f5c48902b16080f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.00242",
    "kind": "arxiv",
    "version": 2
  }
}