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Lists of resources useful for my PhD in computer vision
| Date | Stars |
|---|---|
| 2026-07-24 | 594 |
| 2026-07-25 | 594 |
| 2026-07-28 | 594 |
| 2026-07-30 | 594 |
| 2026-07-31 | 594 |
| 2026-08-06 | 594 |
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# Useful computer vision PhD resources ## Topics - [x] General advice on [how to conduct your research](https://github.com/hassony2/useful-computer-vision-phd-resources/blob/master/Awesome-computer-vision-research-advice.md) - [x] [Better/faster paper reading](https://github.com/hassony2/useful-computer-vision-phd-resources/blob/master/Awesome-resources-for-better-reading-of-computer-vision-papers.md), tools and resources - [x] How to write a good CVPR/ECCV/ICCV paper? Advice to [write a good scientific paper](https://github.com/hassony2/useful-computer-vision-phd-resources/blob/master/Awesome-resources-for-better-writing-of-computer-vision-papers.md) - [x] How to [write a good review](https://github.com/hassony2/useful-computer-vision-phd-resources/blob/master/Awesome-resources-for-better-reviewing-of-computer-vision-papers.md)? - [x] How to [release code](https://github.com/hassony2/useful-computer-vision-phd-resources/blob/master/Useful-resources-for-code-releases.md) that is easy to understand and to reuse - [ ] Tools for [fast and reproducible experimentation](https://github.com/hassony2/useful-computer-vision-phd-resources/blob/master/Awesome-resources-for-fast-reproducible-python-experiments.md) (in python/PyTorch) - [ ] Better meetings with your supervisor - [ ] [Beautiful visualizations](Awesome-resources-for-beautiful-visualizations.md) - [x] Additional [tricks for neural networks](Awesome-computer-vision-network-tricks.md) - [x] Some [coding tips](Coding-tips.md) <details open><summary>Motivation</summary> Having started a PhD in 2017, I progressively stumbled upon **talks/tools/advice** that **I wish I had come accross earlier**. I will keep adding links and material as I find them, feel free to suggest some as [pull requests](https://github.com/hassony2/useful-computer-vision-phd-resources/pulls) or [issues](https://github.com/hassony2/useful-computer-vision-phd-resources/issues) ! I want to write efficiently so that you can have an **overview of the tools/resources in less then a minute** and so that you can **easily find the original source/link to the resource**. In drop-downs below some resources I will **provide short summaries** of the advice when relevant, often as a **list of quotes from the original resource**. Towards this purpose I will extensively use drop-down extensions. - <details><summary><-- click here</summary> > Like this ! </details> </details>
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matched fp:7577ab5f585b40cc, topic:computer-vision, name:computer vision, desc:computer vision