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                                  • ssr节点2022每日更新
                                    Our paper Probing Text Models for Common Ground with Visual Representations is out!
                                  • Apr 2024
                                    Our work Evaluating NLP Models via Contrast Sets is out
                                  • Feb 2024
                                    Check out our new paper exploring the dynamics of fine-tuning in NLP
                                  • Jan 2024
                                    Our paper SSR节点免费发放🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀 ...:2021-12-5 · 『翻墙梯子公益分享,免费节点科学上网』 ①ssr和ss节点,ios用美区苹果ID账号下载potatso lite客户端Wingy小火箭icetea;Android用影梭ShadowsocksRR大杀器 ②Vmess节点,苹果用kitsunebi,shadowrocket made the cover of the Communications of the ACM!
                                  • Dec 2024
                                    Don't miss our spotlight presentation on SDTW at 免费ssr飞机场, NeuRIPS 2024
                                  • Nov 2024
                                    Our CoNLL 2024 paper was awarded Honorable Mention for Best Paper in Research Inspired by Human Language Learning!
                                  • Sep 2024
                                    网易阴阳师安卓版-网易阴阳师下载地址安卓版v1.0.81-哪家下载网:2021-6-12 · 《网易阴阳师安卓版》是游戏的安卓系统全新版本,也是游戏带来全部游戏玩家的免费福利版本。不但增加了新的网络服务器和我区,另外也有新式神、新主题活动、新游戏玩法、新boss,一切都在安卓系统全新版本中。
                                  • Sep 2024
                                    Our paper Large-scale representation learning from visually grounded untranscribed speech was accepted to CoNLL
                                  • Aug 2024
                                    I'll be at KDD 2024 presenting a hands-on tutorial on Deep Learning for Natural Language Processing using Tensorflow.
                                  • Jul 2024
                                    If you're at ACL 2024, don't miss our oral presentation about instruction fidelity in Vision-and-Language Navigation
                                  • Jul 2024
                                    New paper on evaluation metrics for instruction conditioned navigation (e.g. VLN) out on arxiv
                                  • Jul 2024
                                    Our paper on transferable representation learning for VLN was accepted to ICCV 2024

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                                  Go to all publications

                                  ssr飞机场推荐

                                  • Present 小飞机场 ssr

                                    Google Research

                                    Research Intern

                                  • Jul 2024 Jul 2018

                                    Google Research

                                    AI Resident

                                  • Apr 2018 Jan 2018

                                    Microsoft

                                    Software Engineering Intern

                                  • Aug 2017 May 2017

                                    小飞机场 ssr

                                    小飞机场 ssr

                                  • Mar 2017 Jan 2017

                                    Microsoft

                                    Software Engineering Intern

                                  • 好用的付费ssr 小飞机场 ssr

                                    C.E.S.A.R - Recife Center for Advanced Studies and Systems

                                    Software Engineering Intern

                                  Education

                                  • Ph.D. Present

                                    Ph.D. student in Computer Science & Engineering

                                    Paul G. Allen School of Computer Science & Engineering

                                    ssr节点2022每日更新

                                  • 小飞机场 ssr 小飞机场 ssr

                                    M.Sc. in Electronic and Computer Engineering

                                    Instituto Tecnológico de Aeronáutica - ITA

                                  • B.S.2017

                                    好用的付费ssr

                                    Instituto Tecnológico de Aeronáutica - ITA

                                  Honors, Awards and Fellowships

                                  • 2024
                                    Honorable Mention for Best Paper Award
                                    For Research Inspired by Human Language Learning and Processing at CoNLL 2024
                                  • 2018
                                    ssr机场网站
                                    免费SSR机场推荐 SSR机场订阅_重庆seo博客:2021-12-11 · 目前网上有免费分享的ssr基本上都不太稳定,经常连接掉线无法访问网站,而且浏览海外网页都卡,更别说看2K视频了。 一般SSR有几种方法: 1,自己搭建飞机场服务,即购买海外VPS服务器 搭建ssr机场,自己购买的服务器流量都是自己使用,相对来说稳定一些。
                                  • 2017
                                    Best Graduation Thesis
                                    Instituto Tecnológico de Aeronáutica - ITA, Computer Engineering
                                  • 2017-2018
                                    Fast.ai International Fellowship
                                  • 2017
                                    1st place at Deep Learning Hackathon - Cotidiano
                                    AI powered nutrition tracking from photographs.
                                  • 2016
                                    1st Place at Microsoft College Code Competition
                                    MSFT3C São José dos Campos, Brazil
                                  • 2015
                                    Honorable mention - top 15
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                                  • 2013
                                    Honorable mention - top 4
                                    ACM ICPC Brazilian First Phase
                                  • 2012
                                    Gold Medal
                                    分享一些Telegram 福利频道(免费VPN、V2ray和付费VPN ...:2021-3-19 · Telegram上福利的频道不少,今天我分享的这些频道,不是成人福利向的,而是免费提供各类科学上网工具的频道,分享各类免费VPN、免费SS、Vmess众及付费VPN如NordVPN的破解账号,总有能满足你科学上网需求的。
                                  • 2012
                                    Gold Medal
                                    Brazilian Astronomy Olympiad - OBA
                                  • 2012
                                    Gold Medal
                                    Regional Mathematical Olympiad (Rio de Janeiro State) - OMERJ
                                  • 2012
                                    ssr飞机场推荐
                                    Brazilian Chemistry Olympiad - OBQ
                                  • 2012
                                    Silver Medal
                                    Regional Chemistry Olympiad (Rio de Janeiro State) - OQRJ
                                  • 小飞机场 ssr
                                    好用的付费ssr
                                    ssr机场节点是什么? 免费高速稳定ssr机场推荐订阅-山西 ...:2021-12-14 · ssr机场节点是什么?免费高速稳定ssr机场推荐订阅 本文介绍SSR机场主要是为了学习科研众及外贸工作。请遵守中华人民共和国法律法规,切勿在任何地方发布分裂国家,激化民族矛盾的言论,不欢迎不爱国及极端人士。 SSR机场是什么意思?
                                  • 2012
                                    Bronze Medal
                                    Brazilian Physics Olympiad - OBF
                                  • 2011
                                    Gold Medal
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                                  • 2011
                                    Gold Medal
                                    Brazilian Physics Olympiad - OBF
                                  • 2011
                                    Gold Medal
                                    Regional Chemistry Olympiad (Rio de Janeiro state) - OQRJ
                                  • 2011
                                    Gold Medal
                                    Great Mathematical Olympiad (regional) - GOM
                                  • 2011
                                    Silver Medal
                                    Brazilian Mathematical Olympiad - OBM
                                  • 2011
                                    Silver Medal
                                    Regional Mathematical Olympiad (Rio de Janeiro state) - OMERJ
                                  • 2010
                                    Silver Medal
                                    Brazilian Mathematical Olympiad for Public Schools - OBMEP
                                  • 2010
                                    Bronze Medal
                                    Brazilian Astronomy Olympiad - OBA
                                  • 2009
                                    Gold Medal
                                    Brazilian Mathematical Olympiad - OBM
                                  • 2009
                                    Gold Medal
                                    Regional Mathematical Olympiad (Minas Gerais State) - OMM
                                  • 2008
                                    Gold Medal
                                    Brazilian Mathematical Olympiad for Public Schools - OBMEP
                                  • 2007
                                    Gold Medal
                                    Regional Mathematical Olympiad (Minas Gerais) - OMM
                                  • 2007
                                    小飞机场 ssr
                                    Windows(SSR):1.在「下载页面」下载Windows(SSR),下载解压后打开ShadowsocksR-dotnet4.0.exe, 打不开就用2.0,2.0打不开请下载安装net.framework,点击安装; 2.找到系统托盘菜单中纸飞机图标右键调出菜单,将伕理模式设置为直连,负载均衡勾掉
                                  • 2006
                                    ssr机场网站
                                    Brazilian Mathematical Olympiad - OBM

                                  Probing Text Models for Common Ground with Visual Representations

                                  Gabriel Ilharco, Rowan Zellers, Ali Farhadi, Hannaneh Hajishirzi,

                                  Abstract

                                  Vision, as a central component of human perception, plays a fundamental role in shaping natural language. To better understand how text models are connected to our visual perceptions, we propose a method for examining the similarities between neural representations extracted from words in text and objects in images. Our approach uses a lightweight probing model that learns to map language representations of concrete words to the visual domain. We find that representations from models trained on purely textual data, such as BERT, can be nontrivially mapped to those of a vision model. Such mappings generalize to object categories that were never seen by the probe during training, unlike mappings learned from permuted or random representations. Moreover, we find that the context surrounding objects in sentences greatly impacts performance. Finally, we show that humans significantly outperform all examined models, suggesting considerable room for improvement in representation learning and grounding.

                                  Evaluating NLP Models via Contrast Sets

                                  Matt Gardner et al.

                                  Abstract

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                                  Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

                                  Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah Smith.

                                  Abstract

                                  Fine-tuning pretrained contextual word embedding models to supervised downstream tasks has become commonplace in natural language processing. This process, however, is often brittle: even with the same hyperparameter values, distinct random seeds can lead to substantially different results. To better understand this phenomenon, we experiment with four datasets from the GLUE benchmark, fine-tuning BERT hundreds of times on each while varying only the random seeds. We find substantial performance increases compared to previously reported results, and we quantify how the performance of the best-found model varies as a function of the number of fine-tuning trials. Further, we examine two factors influenced by the choice of random seed: weight initialization and training data order. We find that both contribute comparably to the variance of out-ofsample performance, and that some weight initializations perform well across all tasks explored. On small datasets, we observe that many finetuning trials diverge part of the way through training, and we offer best practices for practitioners to stop training less promising runs early. We publicly release all of our experimental data, including training and validation scores for 2,100 trials, to encourage further analysis of training dynamics during fine-tuning.

                                  小飞机场 ssr

                                  Large-scale representation learning from visually grounded untranscribed speech

                                  好用的付费ssr, Yuan Zhang, Jason Baldridge.
                                  23rd Conference on Computational Natural Language Learning (CoNLL 2024)
                                  Honorable Mention for Best Paper Award in Research Inspired by Human Language Learning and Processing

                                  Abstract

                                  Systems that can associate images with their spoken audio captions are an important step towards visually grounded language learning. We describe a scalable method to automatically generate diverse audio for image captioning datasets. This supports pretraining deep networks for encoding both audio and images, which we do via a dual encoder that learns to align latent representations from both modalities. We show that a masked margin softmax loss for such models is superior to the standard triplet loss. We fine-tune these models on the Flickr8k Audio Captions Corpus and obtain state-of-the-art results---improving recall in the top 10 from 29.6% to 49.5%. We also obtain human ratings on retrieval outputs to better assess the impact of incidentally matching image-caption pairs that were not associated in the data, finding that automatic evaluation substantially underestimates the quality of the retrieved results.

                                  ssr节点2022每日更新

                                  General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping

                                  Gabriel Ilharco, Vihan Jain, Alexander Ku, Eugene Ie, and Jason Baldridge.
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                                  Abstract

                                  In instruction conditioned navigation, agents interpret natural language and their surroundings to navigate through an environment. Datasets for studying this task typically contain pairs of these instructions and reference trajectories. Yet, most evaluation metrics used thus far fail to properly account for the latter, relying instead on insufficient similarity comparisons. We address fundamental flaws in previously used metrics and show how Dynamic Time Warping (DTW), a long known method of measuring similarity between two time series, can be used for evaluation of navigation agents. For such, we define the normalized Dynamic Time Warping (nDTW) metric, that softly penalizes deviations from the reference path, is naturally sensitive to the order of the nodes composing each path, is suited for both continuous and graph-based evaluations, and can be efficiently calculated. Further, we define SDTW, which constrains nDTW to only successful paths. We collect human similarity judgments for simulated paths and find nDTW correlates better with human rankings than all other metrics. We also demonstrate that using nDTW as a reward signal for Reinforcement Learning navigation agents improves their performance on both the Room-to-Room (R2R) and Room-for-Room (R4R) datasets. The R4R results in particular highlight the superiority of SDTW over previous success-constrained metrics.

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                                  Vihan Jain*, ssr机场网站, Alexander Ku*, Ashish Vaswani, Eugene Ie, and Jason Baldridge.
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                                  Abstract

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                                  Transferable Representation Learning in Vision-and-Language Navigation

                                  Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, Eugene Ie
                                  IEEE International Conference in Computer Vision (ICCV 2024)

                                  Abstract

                                  Vision-and-Language Navigation (VLN) tasks such as Room-to-Room (R2R) require machine agents to interpret natural language instructions and learn to act in visually realistic environments to achieve navigation goals. The overall task requires competence in several perception problems: successful agents combine spatio-temporal, vision and language understanding to produce appropriate action sequences. Our approach adapts pre-trained vision and language representations to relevant in-domain tasks making them more effective for VLN. Specifically, the representations are adapted to solve both a cross-modal sequence alignment and sequence coherence task. In the sequence alignment task, the model determines whether an instruction corresponds to a sequence of visual frames. In the sequence coherence task, the model determines whether the perceptual sequences are predictive sequentially in the instruction-conditioned latent space. By transferring the domain-adapted representations, we improve competitive agents in R2R as measured by the success rate weighted by path length (SPL) metric.

                                  Gesture Recognition for Brazilian Sign Language using Deep Learning

                                  Gabriel Ilharco Magalhaes
                                  M.Sc. Thesis, Instituto Tecnológico de Aeronáutica - ITA, May 2018 (Portuguese).

                                  Abstract

                                  In a world where more than 70 million people rely on sign language to communicate, a system capable of recognizing and translating gestures to written or spoken language has great social impact. Despite rights claimed in recent decades, the deaf community still faces many challenges due to communication barriers. Gesture recognition, crucial for translation, is an active research topic in the computer vision and machine learning communities, and has been studied for decades. Among the most common approaches for this task, there are the electronic gloves with sensors, depth camera based approaches and simple camera based approaches. This last method has the advantage of completeness, since there are in many sign languages, including Brazilian Sign Language, which is the subject of this study, where other parts of the body such as the face and its expressions are needed to recognize some gestures. Additionally, it relies only on commonly found technologies, in contrast to the other approaches.

                                  We present a state-of-the art approach, using a simple color camera for real-time static and continuous recognition of gestures from Brazilian Sign Language. For static recognition, we create a dataset with 33000 examples of 30 gestures; for continuous recognition, we create a dataset with 2000 videos containing phrases with 72 distinct gestures. Both datasets were built without restrictions with respect to clothing, background, lighting or distance between the camera and the user, commonly found in other studies. We propose end-to-end systems for each case using Deep Learning: for the former, a system based on a Deep Convolutional Residual Neural Network; for the latter, a hybrid architecture using Long-Short Term Memory Cells on top of convolutional layers. Our method shows state of the art accuraccy for both cases and is capable of running in real time on a GPU.

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                                  Gabriel Ilharco Magalhaes
                                  B.S. Thesis Instituto Tecnológico de Aeronáutica - ITA, Dec 2017 (Portuguese).

                                  Abstract

                                  In a world where more than 70 million people rely on sign language to communicate, a system capable of recognizing and translating gestures to written or spoken language has great social impact. Despite rights claimed in recent decades, the deaf community still faces many challenges due to communication barriers. Gesture recognition, crucial for translation, is an active research topic in the computer vision and machine learning communities, and has been studied for decades. Among the most common approaches for this task, there are the electronic gloves with sensors, depth camera based approaches and simple camera based approaches. This last method has the advantage of completeness, since there are in many sign languages, including Brazilian Sign Language, which is the subject of this study, where other parts of the body such as the face and its expressions are needed to recognize some gestures. Additionally, it relies only on commonly found technologies, in contrast to the other approaches.

                                  We present a state-of-the art approach, using a simple color camera for real-time static recognition of gestures from Brazilian Sign Language. We create a dataset with 33000 examples of 30 gestures, without restrictions with respect to clothing, background, lighting or distance between the camera and the user, commonly found in other studies. We propose an end-to-end system using Deep Convolutional Residual Neural Networks, without the need to rely on laboriously engineered pipelines and feature extraction steps, as opposed to traditional approaches. The proposed system shows robustness for the classification of the 30 gestures, obtaining a 99.83% accuracy on the test set. The system runs in real time (26.2 ms per frame), using a NVIDIA K80 GPU.

                                  * indicates equal contribution.

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                                  ssr机场节点是什么? 免费高速稳定ssr机场推荐订阅-山西 ...:2021-12-14 · ssr机场节点是什么?免费高速稳定ssr机场推荐订阅 本文介绍SSR机场主要是为了学习科研众及外贸工作。请遵守中华人民共和国法律法规,切勿在任何地方发布分裂国家,激化民族矛盾的言论,不欢迎不爱国及极端人士。 SSR机场是什么意思?

                                  Ultimately, it is desirable for AI systems not only to be able to understand and process multimodal - including visual, acoustic and symbolic - data, but to do so in a unified, coherent framework. Grounding natural language through multimodal tasks is an appealing research direction, which, thanks to recent advances in neural representations and learning, is taking the first steps in its renewed energetic infancy.

                                  • Artificial Intelligence
                                  • Multimodal Machine Learning
                                  • Natural Language Grounding
                                  • Computer Vision
                                  • Natural Language Processing
                                  • 小飞机场 ssr
                                  • image

                                    Real-time Gesture Recognition for Brazilian Sign Language

                                    Robust recognition using Deep Learning

                                    In a world where more than 70 million people rely on sign language to communicate, a system capable of recognizing and translating gestures to written or spoken language has great social impact. Despite rights claimed in recent decades, the deaf community still faces many challenges due to communication barriers. Gesture recognition, crucial for translation, is an active research topic in the computer vision and machine learning communities, and has been studied for decades. Among the most common approaches for this task, there are the electronic gloves with sensors, depth camera based approaches and simple camera based approaches. This last method has the advantage of completeness, since there are in many sign languages, including Brazilian Sign Language, which is the subject of this study, where other parts of the body such as the face and its expressions are needed to recognize some gestures. Additionally, it relies only on commonly found technologies, in contrast to the other approaches.

                                    This project presents a state-of-the art approach, using a simple color camera for real-time static and continuous recognition of gestures from Brazilian Sign Language. For static recognition, we created a dataset with 33000 examples of 30 gestures; for continuous recognition, we create a dataset with 2000 videos containing phrases with 72 distinct gestures. Both datasets were built without restrictions with respect to clothing, background, lighting or distance between the camera and the user, commonly found in other studies. We propose end-to-end systems for each case using Deep Learning: for the former, a system based on a Deep Convolutional Residual Neural Network; for the latter, a hybrid architecture using Long-Short Term Memory Cells on top of convolutional layers. Our method shows state of the art accuraccy for both cases and is capable of running in real time on a GPU.

                                  • ssr飞机场推荐

                                    小飞机场 ssr

                                    Hiding Images in Plain sight

                                    Open-source implementation of the paper Hiding Images in Plain Sight: Deep Steganography, by Shumeet Baluja (Google), at NIPS 2017. This project is part of the Global NIPS Paper Implementation Challenge. The implementation is available 小飞机场 ssr

                                    Abstract: Steganography is the practice of concealing a secret message within another, ordinary, message. Commonly, steganography is used to unobtrusively hide a small message within the noisy regions of a larger image. In this study, we attempt to place a full size color image within another image of the same size. Deep neural networks are simultaneously trained to create the hiding and revealing processes and are designed to specifically work as a pair. The system is trained on images drawn randomly from the ImageNet database, and works well on natural images from a wide variety of sources. Beyond demonstrating the successful application of deep learning to hiding images, we carefully examine how the result is achieved and explore extensions. Unlike many popular steganographic methods that encode the secret message within the least significant bits of the carrier image, our approach compresses and distributes the secret image's representation across all of the available bits.

                                  • ssr节点2022每日更新

                                    好用的付费ssr

                                    Nutrition tracking from food photos

                                    Winner of Deep Learning Hackathon by Cotidiano.

                                    The implementation is available here.

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                                    Snap & Eat is a web application that tracks the user's food intake by pictures. We use state-of-the-art deep learning techniques to recognize dishes, making instant nutrition estimates from the user's meals.

                                    The app also suggests meals based on the user's income, and is capable of showing places nearby that serve those dishes.

                                    The system is implemented in Pytorch using fastai lib, relying on Jupyter Notebooks for prototyping purposes. For the web app, we use Flask and Node.js.

                                    We use an Aggregated Residual Convolutional Neural Network - ResNeXt-101 with 101 layers, pretrained on ImageNet dataset. We finetune the model on Food-101 dataset, with more than 100 thousand images of 101 types of dishes. We achieve a significant improvement on accuracy (71% in our work compared to 50.1% in Bossard et al., 2014).

                                  • ssr节点2022每日更新

                                    Quiros

                                    Sign Language recognition from a sensor glove

                                    Project Quiros is a low-cost system created to improve communication for sign language users. It is designed to recognize specific sign language hand gestures and transform them into words (audio) and text. The project was developed with a total of R$600 (brazilian reais) - about U$150 (US dolars). The system uses flex sensors, contact sensors, an accelerometer and a gyro sensor to capture the position of the hand and sent it via bluetooth to an external device (such as a PC or a mobile device). After recognizing a gesture, the system displays the corresponding message in text and audio.

                                    ssr有没有公益机场 推荐一个 - Douban:2021-6-13 · ssr 是啥? 删除 | 赞 回应 来自 豆瓣App … 2021-05-04 18:10:42 「该条回应已被删除」 「该条回应已被删除」 Berry草莓 小火箭 删除 | 赞 回应 来自 豆瓣App 己住校 ...

                                  • ssr节点2022每日更新

                                    Key Face

                                    Detecting facial keypoints using images from camera

                                    Real-time landmark detection using Viola-Jones algorithm for face detection and a convolutional neural network.

                                    Project is publicaly available here.

                                  • image

                                    Breast Bot Sensor

                                    A breast cancer diagnosis system

                                    Ubuntu安装v2ray - CRainyDay:2021-5-26 · v2ray免费账号分享。 飞机场分享。 1.简介 其实,v2ray是不区分客户端和服务端的。服务端与客户端的区别,只不过是config.json配置文件内容不一样。 v2ray与另一个科学上网工具Shadowsocks(r)相比更好一点,支持自定义协议,被办的风险小。具体可

                                    During my internship at C.E.S.A.R., I worked in software and hardware for reading and processing data from the biosensor, using a LMP91000EVM and a SPIO-4 Digital Controller. The data gathered was then processed using a neural network from FANN (Fast Artificial Neural Network) library, generating an output corresponding to the diagnosis. I also worked on a graphic interface that allows the user to see the real-time data that is being read.

                                  • image

                                    ITAbits

                                    Instituto Tecnológico de Aeronáutica's software development group

                                    A big part of ITAbits is game developing, which we believe is an inspiring way to teach new programmers how to code. The organization also prepares students for Hackathons and programming contests, such as Brazilian OBI and ACM International Collegiate Programming Contest, and provides introductory courses to programming.

                                    Ubuntu安装v2ray - CRainyDay:2021-5-26 · v2ray免费账号分享。 飞机场分享。 1.简介 其实,v2ray是不区分客户端和服务端的。服务端与客户端的区别,只不过是config.json配置文件内容不一样。 v2ray与另一个科学上网工具Shadowsocks(r)相比更好一点,支持自定义协议,被办的风险小。具体可

                                    From 2013 to 2015, I also worked on internal projects, primarily written in C++ and C# and taught introduction to programming, algorithms and data structures to freshman students.

                                  • 小飞机场 ssr

                                    ssr节点2022每日更新

                                    Very small size division

                                    A team of autonomous robots (about 7,5×7,5×7,5cm) for playing soccer in the IEEE Very Small Size category. The robots are remotely controlled by a computer, which processes the image of a video camera placed above the field and commands them.

                                    Worked on the strategy and motion planing branches of the project.

                                  • ssr节点2022每日更新

                                    RayTracer

                                    Ray tracing from scratch in C++

                                    RayTracer is an implementation of an image generator based on the Ray Tracing technique, in a simplified model of the world, containing only spheres, planes and triangles.

                                    The code is publicaly available here.

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                                  •    gabriel_ilharco
                                  •    gamaga@cs.washington.edu
                                  •    linkedin.com/in/gabrielilharco