Writing study: Towards Foundational Models for Single-Chip Radar

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← ICCV 2025 oral writing corpus

Tianshu Huang, Akarsh Prabhakara, Chuhan Chen, Jay Karhade, Deva Ramanan, Matthew O'toole, Anthony Rowe · 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: Empirical analysis, diagnosis & auditing (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

11 physical pages

Before references / appendix

≈ 8.05 page-equivalents

Main figures / tables

9 / 5

Attached appendix figures / tables

0 / 0

Attached appendix span

No boundary detected; not assumed zero

Before references / appendix: ≈ 73.18%References / intervening material: ≈ 26.82%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	≈ 1.33 pp.	12.09%
2. Related Work	3	≈ 0.59 pp.	5.36%
3. Data Collection System and Dataset	3	≈ 0.52 pp.	4.73%
4. Methodology	4	≈ 1.35 pp.	12.27%
5. Results	5	≈ 3.16 pp.	28.73%
6. Conclusion	8	≈ 0.18 pp.	1.64%
References	9	≈ 2.95 pp.	26.82%

All detected figure and table locations

Main text

• Figure 1 · p. 1
• Figure 2 · p. 2
• Figure 3 · p. 3
• Table 1 · p. 3
• Table 2 · p. 4
• Table 3 · p. 4
• Figure 4 · p. 5
• Figure 5 · p. 6
• Table 4 · p. 6
• Figure 6 · p. 7
• Figure 7 · p. 7
• Table 5 · p. 7
• Figure 8 · p. 8
• Figure 9 · p. 8

Attached appendix

No recognized caption labels.

Argument and organization

1. 1 Introduction; 2 Related Work; 3 Data Collection System and Dataset

   Motivates preserving raw radar information and presents the acquisition platform plus explicit coverage limits.

2. 4 Methodology

   Keeps the transformer simple, defines base/downstream tasks and makes the evaluation unit and uncertainty procedure explicit.

3. 5 Results; 6 Conclusion

   Orders representation ablations, data/model scaling, transfer and extrapolation about future dataset needs.

Problem, claim and contribution

The paper frames the main question around data and representation choices, rather than architectural complexity alone.

Contributions, physical p.2; Section 4.1, p.4 · Main paper

Argument and section order

A standalone evaluation subsection precedes results and specifies geographic test separation, temporal dependence correction and paired comparisons.

Section 4.4, p.5 · Main paper

Figures, captions and visual explanation

The architecture diagram labels output coordinate axes for each task; scaling curves show dataset fractions, model sizes, relative baselines and confidence intervals together.

Figure 4, p.5; Figures 6–7, p.7 · Main paper

Tables, comparisons and evidence

The study acknowledges radar-video tuples are not independent samples and estimates effective sample size from autocorrelation before reporting relative differences with 95% intervals.

Section 4.4, p.5; Table 4, p.6 · Main paper

Appendix and reproducibility

Appendices separate acquisition A, implementation/evaluation B and additional results/scaling extrapolation C; these were not inspected.

Sections 3–5, pp.3–8 · Main paper

Clarity and writing conventions

The 100M-sample estimate is described as a projection/best guess, and the dataset limitation explicitly excludes adverse weather, darkness and different antenna configurations.

Limitations, p.3; Section 5.4, p.8 · Main paper

What to reuse—and what not to infer

Transferable lesson: State the actual independent evaluation unit and the dependence correction before showing confidence intervals; distinguish observed scaling from extrapolated requirements.

Boundary: Radar hardware’s weather robustness is not evidence that a model trained on fair-weather daylight data generalizes there. Cross-configuration fine-tuning is not antenna-independent zero-shot transfer. The 100× data projection relies on assumptions and a test-set-trained diagnostic bound, not an observed saturation experiment or held-out model result.

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

5, 7

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 · 11 pages