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Computational Pathology Reading Roadmap

Writing study: Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring

← ECCV 2026 oral writing corpus

Taeho Kang, Nairan Zhang, Yelin Kim, Yujiao Shi, Youngki Lee · Official ECCV 2026 oral record

Figure, table and section ledger

Editorial contribution type: Architecture & representation (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
18 physical pages
Before references / appendix
≈ 15.15 page-equivalents
Main figures / tables
5 / 8
Attached appendix figures / tables
0 / 0
Attached appendix span
No boundary detected; not assumed zero
Before references / appendix: ≈ 84.17%References / intervening material: ≈ 15.83%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.

Source-bound correction: All top-level main headings and the reference boundary checked against source PDF text; source-bound positions use physical single-column y/page-height, not a two-column reading-order surrogate. Running page-number/author titles, affiliations, numbered contribution bullets, footnotes and bibliography continuations are excluded. This linked manuscript contains no appended supplementary section; separate supplement links were not scanned.

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 headingStarts on PDF pageEstimated spanShare of entire PDF
1 Introduction1≈ 2.12 pp.11.78%
2 Related Works3≈ 0.94 pp.5.22%
3 Method4≈ 4.94 pp.27.44%
4 Experiments9≈ 5.89 pp.32.72%
5 Conclusion15≈ 0.59 pp.3.28%
References16≈ 2.85 pp.15.83%
All detected figure and table locations

Main text

Attached appendix

    No recognized caption labels.

    Argument and organization

    1. 1 Introduction; 2 Related Works

      Defines yaw under location uncertainty as the bottleneck and separates orientation recovery from precise translation before presenting a new matching construction.

    2. 3 Method: overview, columns, matching and voting

      Moves from a geometric voting example to a three-stage pipeline, then uses a proposition to explain the invariant before implementation and experiments.

    3. 4 Experiments and analysis; 5 Conclusion

      Tables keep location and yaw perturbations in captions and mark baseline values from looser thresholds with inequality signs instead of treating them as exact matches.

    Problem, claim and contribution

    Defines yaw under location uncertainty as the bottleneck and separates orientation recovery from precise translation before presenting a new matching construction.

    Abstract and Section 1, pp.1–3 · Main paper

    Argument and section order

    Moves from a geometric voting example to a three-stage pipeline, then uses a proposition to explain the invariant before implementation and experiments.

    Figures 1–3 and Section 3, pp.2–8 · Main paper

    Figures, captions and visual explanation

    The architecture groups feature extraction, matching and yaw voting in three labeled colored stages; the proposition directly below links the diagram to collinear candidate poses.

    Figure 3 and Proposition 1, p.5 · Main paper

    Tables, comparisons and evidence

    Tables keep location and yaw perturbations in captions and mark baseline values from looser thresholds with inequality signs instead of treating them as exact matches.

    Tables 1–3, p.12 · Main paper

    Appendix and reproducibility

    The main paper points to the appendix for the proposition proof, boundary handling, dataset adaptations and finer accuracy thresholds. Those supplemental contents were not independently inspected.

    Proposition 1, p.5; Sections 3.4 and 4, pp.9–11 · Main paper

    Clarity and writing conventions

    Explicitly states that the method does not assume ground-truth location; comparison footnotes preserve missing or mismatched baseline settings.

    Section 3.1, p.5; Tables 2–3, p.12 · Main paper

    What to reuse—and what not to infer

    Transferable lesson: Put acquisition uncertainty and metric-threshold differences next to the numbers; a clean comparison may need bounds rather than misleading exact entries.

    Boundary: The line-correspondence proposition assumes its geometric conditions. Robust yaw estimation is not proof that all translation uncertainty or pitch/roll effects disappear.

    Apply this lesson using the argument and evidence worksheet.

    Inspection record and sources

    Checked
    2026-10-02
    Reading status
    Writing-focused manuscript scan + selected visuals inspected
    Main text
    Writing-oriented scan across the manuscript main argument, physical PDF pp.1–15: framing and section roadmaps, method/argument explanations, figure and table captions, comparison protocols, conclusions and limitations. Selected full-page rasters were inspected. This is not exhaustive line-by-line technical reading, proof verification or experimental reproduction.
    Appendix / supplement
    Main-manuscript pointers to appendix/supplement and the reference boundary were checked. Separate supplementary PDFs were not retrieved or inspected; their contents are not included in inspected-page counts.
    Visually inspected PDF pages
    5, 12

    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.