I am trying to compile a list of Computer Science books on different topics that you highly recommend based on your personal learning experience. Computer Science |
- I am trying to compile a list of Computer Science books on different topics that you highly recommend based on your personal learning experience.
- Lets apply Finite Automata: A puzzle with automata and languages as the main mechanic
- React / JSX Style Guide
- State of the art in 3D dense face alignment!
- which type of post this subreddit approve?
- [D] Tracking Recent Topics & Trends in 3D Photo Generation
| Posted: 23 Sep 2020 11:59 AM PDT As the title says, I am trying to compile a list of Computer Science books that were undoubtedly helpful in both forming your basic understanding and building in-depth concepts of those topics. I occasionally come across posts in this sub where people ask for recommendations for books, and people come up with really great recommendations. Some of the books I have read and greatly benefited from, some I have not read or heard about for the first time, I am asking you to come forward with books on any Computer Science topic that you really found helpful during learning that topic and you highly recommend. For example- people mention the "dragonbook" for learning compilers, Operating Systems: Three Easy Pieces also gets mentioned a lot. Don't shy away from mentioning classics such as CLRS, TAOCP, etc. Extra credits if your teacher mentioned the book as 'the Bible' for that topic! Or the book is a classic! I believe everyone can benefit from this. Help is highly appreciated. NB: I got the idea of the post from this comment in this sub. [link] [comments]  |
| Lets apply Finite Automata: A puzzle with automata and languages as the main mechanic Posted: 24 Sep 2020 02:17 AM PDT Hello Compsci community. In University I enjoyed Automata Theory and Complexity Theory a lot, leading to a thesis somewhere between Game Theory, Automata Theory and Complexity Theory. I did not pursue this afterwards in my working life until I started to develop my own first game. Setting myself the challenge to use what I liked I released this puzzle application called "TrainAutomaton". The user solves puzzles close to the ones we did in Computer Science classes on NFAs / DFAs. I personally enjoyed the puzzly nature of the assignments a lot, but I also know that some of my fellow students did not. Behind the scenes I have a NFA-like implementation that checks the players input (in the form of a railway grid) against the language (in the form of a list of train routes). Note that it is not a FA in the strict sense, as the automaton only checks the given words, which are either supposed to be in the set of words of the language or not. There is no expectation on the acceptance of words not on the task list, so it does not matter for most words, if the automaton accepts or rejects them. I discarded the thought of implementing a Kleene Feature, as I felt it might be a bit confusing and unimmersive, but thats more of a game design question. Here is a blog post on the first part of the automaton construction without the player input. https://nerdautomaton.com/2020/09/21/train-automaton-theory-pt1/ You can have a look at the it here, its free on Android and Windows PC. https://www.youtube.com/watch?v=os_rMt6-uu0 If this game is useful to anyone in their classes or sparks some interest in computer sciences, let me know. [link] [comments]  |
| Posted: 24 Sep 2020 03:38 AM PDT |
| State of the art in 3D dense face alignment! Posted: 23 Sep 2020 07:26 PM PDT |
| which type of post this subreddit approve? Posted: 24 Sep 2020 12:40 AM PDT |
| [D] Tracking Recent Topics & Trends in 3D Photo Generation Posted: 23 Sep 2020 10:43 AM PDT Today any smartphone can generate 3D Photos, but the popular AI-powered effect is actually fairly new. It was back in 2018 that Facebook first introduced a machine learning-based 3D photo feature that allowed users to generate an immersive 3D image from normal 2D pictures. Leveraging the dual-lens "portrait mode" capabilities that had recently become available in smartphones, the feature quickly gained traction and began evolving. This June, a research team from Virginia Tech, National Tsing Hua University and Facebook designed an algorithm that generates even more immersive 3D photos from a single RGB-D (colour and depth) image. And in August, Facebook democratized the technique with a novel system able to generate 3D photos even on low-end mobile phones or without an Internet connection. Facebook isn't the only tech giant using AI to generate 3D photos — in recent months, Google has introduced its own AI techniques for generating 3D photos from 2D images. Computer vision (CV) has achieved remarkable progress across various subfields and real-world applications, but few bring the everyday user as visually appreciable an effect as the trending medium of 3D photo generation's ability to deepen the immersive experience of a captured moment. Another common use of 3D images is in AR and VR applications, where they can provide viewers a unique lifelike experience. Today's smartphone authentication systems also rely on 3D image capability. The FaceID process for example employs an array of flood illuminators, sensors and an infrared camera to generate the 3D facial depth map it uses for verification and unlock. Synced has identified a few significant technical advancements in the 3D photo field that we believe may be of interest to our readers. Read more: Tracking Recent Topics & Trends in 3D Photo Generation [link] [comments]  |
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