2025年2月18日(火)に開催されたBPStudy#210〜見積りと計画について学ぼう( https://bpstudy.connpass.com/event/344470/ ) の登壇資料です。
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見積り、計画の考え方や手法についてビープラウドの場合を紹介します/ introduce-the-concept-and-method-of-estimation-and-planning-in-the-case-of-BeProud
2025年2月18日(火)に開催されたBPStudy#210〜見積りと計画について学ぼう( https://bpstudy.connpass.com/event/344470/ ) の登壇資料です。
XP祭り 2021 https://xpjug.com/xp2021/
【注目論文】Sinusoidal Frequency Estimation by Gradient Descent - Qiita
QMULのBen Hayes氏らが、勾配降下法で周波数推定を行う手法を論文で発表しました。ICASSP2023に投稿したそうです。 きわめてシンプルな手法なのですが、機械学習系音声合成にとってはたいへん重要な成果だと思うので、紹介します。 論文リンク：Sinusoidal Frequency Estimation by Gradient Descent ソースコード：https://github.com/ben-hayes/sinusoidal-gradient-descent 背景：DDSPの限界 DDSP(Differentiable Digital Signal Processing)とは、微分可能な計算式を持つDSPモジュールをDNNに組み込んで機械学習をやる手法で、Google Magentaプロジェクトが最初に打ち出したアイデアです。 今ではもうDDSPシリーズと呼べるほど多様
Estimation of total and excess mortality due to COVID-19 | Institute for Health Metrics and Evaluation
Estimation of total and excess mortality due to COVID-19 Published October 15, 2021 This page was updated on October 15, 2021 to reflect changes in our modeling strategy. View our previous methods published May 13, 2021 here. In our October 15 release, we introduced three major changes. First, we have very substantially updated the data and methods used to estimate excess mortality related to the
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging
We propose a method that can generate highly detailed high-resolution depth estimations from a single image. Our method is based on optimizing the performance of a pre-trained network by merging estimations in different resolutions and different patches to generate a high-resolution estimate. Abstract Neural networks have shown great abilities in estimating depth from a single image. However, the
GitHub - lzccccc/3d-bounding-box-estimation-for-autonomous-driving: 3d bounding box estimation from monocular image based on 2d bounding box
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Estimating Software Projects: Software Estimation Is Hard. Do It Anyway.It’s well-established that estimating software projects is hard. One study by HBR found that one in six IT projects had cost overruns of over 200% and were late by almost 70%. Another study by McKinsey found that IT projects are on average 45% over budget and 7% over schedule. They found large software projects were particular
Chrome 88: Digital Goods, Lighting Estimation in Augmented Reality, and More
$200K 1 10th birthday 4 abusive ads 1 abusive notifications 2 accessibility 3 ad blockers 1 ad blocking 2 advanced capabilities 1 android 2 anti abuse 1 anti-deception 1 background periodic sync 1 badging 1 benchmarks 1 beta 83 better ads standards 1 billing 1 birthday 4 blink 2 browser 2 browser interoperability 1 bundles 1 capabilities 6 capable web 1 cds 1 cds18 2 cds2018 1 chrome 35 chrome 81
SICE Annual Conference 2019: State Estimation By Observer Using Median Operation for Observed Output with Outliers - 制御工学ブログ
State Estimation By Observer Using Median Operation for Observed Output with Outliers Hiroshi Okajima; Yasuaki Kaneda; Nobutomo Matsunaga 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) youtu.be Conference paper link: State Estimation By Observer Using Median Operation for Observed Output with Outliers | IEEE Conference Publication | IEEE Xplore Relat
The Shape of Code » Software effort estimation is mostly fake research
Effort estimation is an important component of any project, software or otherwise. While effort estimation is something that everybody in industry is involved with on a regular basis, it is a niche topic in software engineering research. The problem is researcher attitude (e.g., they are unwilling to venture into the wilds of industry), which has stopped them acquiring the estimation data needed t
GitHub - Ahmednull/L2CS-Net: The official PyTorch implementation of L2CS-Net for gaze estimation and tracking
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GitHub - hzwer/ECCV2022-RIFE: ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
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GitHub - Hzzone/pytorch-openpose: pytorch implementation of openpose including Hand and Body Pose Estimation.
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動機 姿勢推定AIというものをご存じでしょうか？ 画像認識AIの中でも人間の位置を抽出するものは有名ですが、AIはさらに検出した人の頭や手・足などの部位の特定まで行うことができます。一見ハードルが高そうなのですが、今回の記事では姿勢推定AIが意外と簡単に実現できるよ～ということに加えて、姿勢推定AIを利用した様々なアプリケーションを紹介し、姿勢推定AIの応用可能性についてお伝えできれば良いかなと思います。 使用ソフトウェアとバージョン Python 3.6 Tensorflow 2.2.0 その他OpenCV等のライブラリ 動作サンプルとソースコード （出演：みきをさん @michelle0915） まずは姿勢推定AIの実行結果です。 今回使用したAIモデルはMoveNet1と呼ばれるモデルで、検出した人の領域から17点のキーポイント（鼻、目、肘、手首、膝など）を抽出します。仕様上最大6人
IT Project Estimation Techniques: Top-Down and Bottoms-Up Approaches
Every Information Technology (IT) project has direct and indirect cost implications. Therefore, an effective and practical estimation of any information technology project is crucial. As evident from the name, the direct cost is the money invested in executing the project. However, the impact of the indirect costs can also be substantial for a software project. Regardless, while the accurate estim
LuxDiT: Lighting Estimation with Video Diffusion Transformer - 1枚の画像や動画からライティングに使えるHDRI環境マップを生成するAIモデル！
CG制作 チュートリアル チュートリアル-Tutorial 光で語る物語 ~ ゲームライティングの美学と技術 ~ - AAAタイトルを手掛け... 2025-09-29 AAAゲームタイトルに携わられたライティングアーティストのMaria Yue氏によるオンライン講座『光で語る物語 ~ ゲームライティングの美学と技術 ~』が、2025年9月29日（月）にCGWORLD ONLINE ACADEMYにて開催されます。 続きを読む Blender アドオン プラグイン＆アドオン-Plugin&Addon AutoBlend v1.0 - ポストプロセスを使用したスクリーンスペースのメ... 2025-09-29 Shahzod Boyhonov（@specoolar）氏によるポストプロセスを使用したスクリーンスペースのメッシュブレンド機能を追加出来るBlenderアドオン「AutoBlend
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Formula of Software Estimation
Software Estimation Is Hard. Do It Anyway. - Jacob Kaplan-Moss
HMDとコントローラーの3点だけで最大11点の擬似フルトラッキングを可能にする「Standable: Full Body Estimation」が発売／「VRChat」や「NeosVR」での動作は確認済み
姿勢推定AI（Pose Estimation）で色々遊ぶ - Qiita
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