A collection of links and resources helpful to our research life. I am Guangyuan Zhao, and I am currently working perception and decision intelligence. Feel free to email to [email protected] or draft in the issues if you have any thoughts.
Note: Oftentimes, I find not all the researchers have same privilege to have great resources to foster their research taste and mindset. I would love to format and share some of my own learnings here. Note+: I personally love reading blogs&websites from Fredo Durand, Yisong Yue and Bill Freeman etc, and find myself learn a lot from those readings. For some notes, I have read them multiple times and remember every single sentence. I am also inspired by those pioneers and will share my own learnings & thoughts here.
"What is most important problem in your field? Why are you not working on it?" - Richard Hamming - I can bet that most researchers cannot even answer the 1st question.
Richard Hamming ''You and Your Research''
Bill Freeman "How to do research"
Elements of a successful graduate career (MIT)
How to choose a research topic and publish in CVPR
We sometimes get reviewers' comments saying that the writing is poor. The cause of such comment is not all about our English. Often, the comments relate more to our "mindset" of writing. The ability of communicating our research clearly, directly and efficiently to the audience is crucial in technical writeups.
Paper writing
How to Get Your SIGGRAPH Paper Rejected by Jim Kajiya
How to write a SIGGRAPH paper?
Notes on writing by Fredo Durand
How to write a good CVPR submission by Bill Freeman
How to Get Your CVPR Paper Rejected?
Tips on publishing in NIPS, ICML or any top tier conferences for ML
Rebuttal
How we write rebuttals? By Devi Parikh, Dhruv Batra, Stefan Lee
Rebuttal advice by Fredo Durand
Technical Suggestions
How to write math equations from Dimitri P. Bertsekas
Writing technical suggestions and resources from Ioannis Gkioulekas
Others:
How to write thesis proposal (from MIT communication lab).
I personally would say: novelty should consider Knowledge Advancement. An interesting or superising paper usually advance knowledge on solving certain problem or even the definiation of new problem.
Novelty in Science A guide for reviewers
Faculty job talks: tips from the faculty (MIT)
Tips for Computer Science Faculty Applications by Yisong Yue
Strategies for Obtaining a Faculty Position in the Biomedical Sciences
Faculty Application Advice by Sylvia herbert
Faculty jobs: Why and how to get them by Fredo
How many papers one needs to establish a tech startup? 10?, 100? My previous advisor Achuta Kadambi at UCLA once gave a striking answer: "1". Some examples shown below (Interestingly, 4 of them were published at SIGGRAPH.):
| Startup | Akasha Imaging | Inkbit3d | Taichi | Algolux | Chohotech |
|---|---|---|---|---|---|
| Publication | Polarized 3D | MultiFab | Taichi | FLEXISP | iOrthoPredictor |
Two Ways of Living Life: Active VS Passive
读博前你必须知道的五件事 (5 things to know before starting a PhD position)
Ke-Sen Huang's collection of SIGGRAPH papers
How to preparing an arXiv paper submission
- PREPARING FOR PHD JOB INTERVIEWS (Cecilia Zhang)
- What to prepare before the upcoming interview? (Sensebrain)
Can academia compete with the resources of industry? by Fredo
Not only me that makes such kind of collection. Here I also list other previous collections that one may find helpful.
Resources for Students & Scholars (Frédo Durand from MIT)
Resources for PhD students in AI/ML
Collection of advice for prospective and current PhD students
Awesome Lists for Tenure-Track Asst. Professors and PhD students. (Junwei Liang from HKUST(GZ))
GAMES003: 图形视觉科研基本素养 (Guangyuan's translation: basic skills for computer vision and graphics)