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GAUGE paper on 4D tracking accuracy withdrawn from arXiv

By PulseAugur Editorial · [1 sources] ·

A research paper titled "GAUGE: Group-Wise View-Inconsistency Rectification for Feed-Forward 4D Tracking" was submitted to arXiv, proposing a novel post-hoc module to improve 4D tracking accuracy. The GAUGE module addresses "group-wise view inconsistency" by estimating per-frame radial scale and translation for motion groups, significantly reducing endpoint error in trackers like D4RTH, 4RC, and SM4RT. The paper, authored by Zhuoqian Feng and Ivan Misner, was later withdrawn by the author. AI

IMPACT Introduces a novel method for improving 4D tracking accuracy in computer vision applications.

RANK_REASON Research paper on a specific tracking method submitted to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GAUGE paper on 4D tracking accuracy withdrawn from arXiv

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Research paper on a specific tracking method submitted to arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zhuoqian Feng, Weixing Chen, Ziliang Chen, Yang Liu, Liang Lin ·

    GAUGE: Group-Wise View-Inconsistency Rectification for Feed-Forward 4D Tracking

    arXiv:2609.32596v2 Announce Type: replace-cross Abstract: Feed-forward models regress dense 3D point trajectories directly from monocular video, yet the residual after global alignment is substantial and lacks a structural explanation. Measured on dynamic query points across mode…

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