Writing study: Deterministic Object Pose Confidence Region Estimation

ICCV overviewCorpus atlasBy contribution typeVisual galleryRules & templateWriting patternsPaper studies

← ICCV 2025 oral writing corpus

Jinghao Wang, Zhang Li, Zi Wang, Banglei Guan, Yang Shang, Qifeng Yu · Official ICCV 2025 oral record

Observed writing choices, not acceptance rules. This study examines the inspected manuscript version. It does not establish why the paper was accepted or that its presentation choices should be copied unchanged.

Figure, table and section ledger

Editorial contribution type: Theory & formal analysis (primary).

Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.

Canonical PDF

10 physical pages

Before references / appendix

≈ 8.05 page-equivalents

Main figures / tables

5 / 4

Attached appendix figures / tables

0 / 0

Attached appendix span

No boundary detected; not assumed zero

Before references / appendix: ≈ 80.5%References / intervening material: ≈ 19.5%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.

Extraction notes: No attached appendix boundary detected. Zero means no recognized caption, not independently verified absence.

Section-by-section lengths and source pages

The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.

Top-level heading	Starts on PDF page	Estimated span	Share of entire PDF
1. Introduction	1	≈ 1.23 pp.	12.3%
2. Related Work	2	≈ 1.19 pp.	11.9%
3. Method	3	≈ 1.9 pp.	19%
4. Experiment	5	≈ 2.75 pp.	27.5%
5. Conclusions	8	≈ 0.44 pp.	4.4%
Acknowledgements	8	≈ 0.19 pp.	1.9%
References	9	≈ 1.95 pp.	19.5%

All detected figure and table locations

Main text

• Figure 1 · p. 1
• Figure 2 · p. 3
• Table 1 · p. 6
• Table 2 · p. 6
• Table 3 · p. 6
• Figure 3 · p. 7
• Figure 4 · p. 7
• Figure 5 · p. 8
• Table 4 · p. 8

Attached appendix

No recognized caption labels.

Argument and organization

1. 1 Introduction; 2 Related Work

   Separates point accuracy from confidence-region coverage and compactness.

2. 3 Method

   Explains deterministic keypoint distributions, held-out conformal calibration and Jacobian-based pose propagation.

3. 4 Experiment; 5 Conclusions

   Reports keypoint and pose coverage separately, then region volumes, speed and the Gaussian propagation limitation.

Problem, claim and contribution

The motivation notes that a very large region can cover truth yet be practically useless, so coverage and compactness must be evaluated together.

Sections 1 and 4.2, physical pp.1–2,5–6 · Main paper

Argument and section order

Calibration data and nonconformity scores are defined before the nonlinear PnP propagation, separating two stages whose guarantees are not interchangeable.

Sections 3.2–3.3, pp.4–5 · Main paper

Figures, captions and visual explanation

The overview tracks point estimates, predicted uncertainty, calibrated regions and propagated pose regions with distinct marks; the final boxplots show volume distributions rather than only averages.

Figure 2, p.3; Figure 5, p.8 · Main paper

Tables, comparisons and evidence

The volume table labels rotation/translation units, exceeded-threshold counts and unavailable cells; the discussion explicitly records a coverage-versus-volume tradeoff on LMO translation.

Table 4, p.8; Section 4.3, p.7 · Main paper

Appendix and reproducibility

Per-object keypoint coverage, additional accuracy comparisons and further region statistics are assigned to supplementary tables and discussion, not inspected.

Section 4.3, pp.6,8 · Main paper

Clarity and writing conventions

The conclusion acknowledges that Gaussian assumptions through nonlinear 2D-to-6D transformation challenge pose-level coverage guarantees.

Section 5, p.8 · Main paper

What to reuse—and what not to infer

Transferable lesson: Evaluate confidence regions with coverage, size and rejected/oversized-case counts, and distinguish calibrated input guarantees from downstream approximations.

Boundary: The overview’s same-coverage language is stronger than the final stated limitation. Conformal keypoint coverage does not automatically prove pose coverage after local Gaussian/Jacobian propagation; the reported LMO translation coverage is below the nominal 90%, and this writing scan provides no safety certification.

Apply this lesson using the argument and evidence worksheet.

Inspection record and sources

Checked

2026-10-07

Reading status

Writing-focused manuscript scan + selected visuals inspected

Main text

Writing-oriented scan across the main manuscript, physical PDF pp.1–8, covering framing, section progression, method explanations, captions, comparison protocols and concluding scope; reference boundary checked. Selected full-page rasters were inspected. Not exhaustive line-by-line reading, proof verification or experimental reproduction.

Appendix / supplement

Main-paper appendix/supplement references were checked. A separate supplementary source is linked in the inventory but was not retrieved or inspected; its contents are not included in the reading or visual-page counts.

Visually inspected PDF pages

3, 8

This is a writing-focused scan of the manuscript and the stated supplementary scope: framing, organization, visual explanation, evidence presentation and wording. It is not a line-by-line proof audit, reproduction of results or exhaustive scientific review.

• Official CVF open-access ICCV 2025 accepted-paper PDF, retrieved 7 October 2026; CVF states identical to accepted version except watermark; not assumed identical to initial submission · 10 pages