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extreme-assistant/cvpr2024-paper-code-interpretation

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TLDR

A Chinese-language curated collection of CVPR conference papers, code links, explanations, and live-stream recordings spanning 2017, 2024, organized by year and topic for computer vision researchers and students.

Mindmap

mindmap
  root((CVPR Collection))
    Years Covered
      2017 to 2018
      2019 to 2020
      2021 to 2024
    Topics
      Object Detection
      Super Resolution
      Medical Imaging
      Face Recognition
    Resources
      Paper Lists
      Code Links
      Video Recordings
    Audience
      Researchers
      Students
      Practitioners
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Code map

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Things people build with this

USE CASE 1

Find open-source code for specific CVPR papers (object detection, super-resolution, medical imaging) without searching GitHub individually.

USE CASE 2

Download a full year of CVPR papers in bulk using the provided links organized by year.

USE CASE 3

Browse topic breakdowns to survey what was published in a given year across 20+ computer vision categories.

USE CASE 4

Watch live-stream recordings of CVPR presentations to understand key research trends without attending the conference.

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository is a Chinese-language collection of papers, code links, explanations, and live-stream recordings from CVPR (the Conference on Computer Vision and Pattern Recognition), one of the most prominent academic conferences in the field of computer vision and image analysis. The collection spans multiple years from 2017 through 2024, maintained by the Extreme Assistant team associated with the CVMart computer vision community. CVPR is a large annual conference where researchers publish new methods for tasks like object detection (identifying and locating objects in images), image segmentation (dividing an image into meaningful regions), face recognition, super-resolution (making images sharper), medical imaging, and many others. Each year's section in this repository links to compiled paper lists, bulk download links for the full set of conference papers, open-source code repositories for individual papers, written summaries, and recordings of live presentations. The depth of coverage varies by year. For 2021, the README lists breakdowns by topic: 27 papers on 2D object detection, 32 on super-resolution, 22 on medical imaging, and so on. For 2019, it includes an Excel file listing the GitHub repository for every open-source paper. Earlier years (2017 and 2018) are covered more briefly, mainly with bulk download links and links to summary articles. This is a reference resource for researchers, students, and practitioners in computer vision who want a single organized entry point for finding papers and code from multiple CVPR years in one place. The written explanations, summaries, and community content are in Chinese.

Copy-paste prompts

Prompt 1
I want to implement a super-resolution method from CVPR 2021. Which open-source repos does the extreme-assistant CVPR collection list for that topic, and how do I clone one to get started?
Prompt 2
Give me an overview of object detection papers from CVPR 2023 that have open-source code, based on the extreme-assistant cvpr2024-paper-code-interpretation index.
Prompt 3
I'm researching deep learning for medical imaging. Which CVPR papers from 2019, 2021 in the extreme-assistant collection have GitHub repos I can run?
Prompt 4
Help me find CVPR 2024 papers on image segmentation with available code, using the cvpr2024-paper-code-interpretation repository as a reference.
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