# zhoubolei/bolei_awesome_posters

CVPR and NeurIPS poster examples and templates

Repository: https://github.com/zhoubolei/bolei_awesome_posters
Canonical: https://ross.abutalabs.com/products/bolei_awesome_posters
License Family: other
Last push: 2023-05-09T23:31:25+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1774, "days_push": 1212, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2032, forks 173 (observed 2026-08-28T04:06:07.752084+00:00)

## What it is
A collection of academic poster examples and downloadable PowerPoint templates from CVPR, ECCV, and NeurIPS presentations, shared by researcher Zhou Bolei. It includes practical tips for delivering concise conference poster presentations.

## Use cases
- design an academic poster for a CVPR paper
- find pptx poster templates for NeurIPS
- learn how to present a research poster in under 5 minutes
- get inspiration for conference poster layout
- download example posters from computer vision conferences

## When to choose
- you are preparing a poster for a CVPR, ECCV, or NeurIPS poster session
- you want real-world poster examples rather than blank templates
- you need guidance on poster content density and presentation length

## When to avoid
- you need automated poster-generation software
- you want templates for non-ML academic fields or general business posters
- you need a maintained tool rather than a static example collection

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: education, computer-vision, tutorials
- platform: cross-platform
- tags: academic-posters, pptx-templates, conference-presentations, cvpr, neurips

## Member repositories
- zhoubolei/bolei_awesome_posters (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.752084+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:30.701773+00:00, confidence not recorded.
  - readme: https://github.com/zhoubolei/bolei_awesome_posters (fetched 2026-08-28T04:06:07.752084+00:00, sha cf83c7ffdc8c)
- Data as of 2026-08-30T08:39:29.467469+00:00.