論文紹介:Multi-criteria Token Fusion with One-step-ahead Attention for Efficient ...Toru Tamaki
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim, "Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers" arXiv2024
https://arxiv.org/abs/2403.10030
論文紹介:ArcFace: Additive Angular Margin Loss for Deep Face RecognitionToru Tamaki
Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou , "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" CVPR2019
https://openaccess.thecvf.com/content_CVPR_2019/html/Deng_ArcFace_Additive_Angular_Margin_Loss_for_Deep_Face_Recognition_CVPR_2019_paper.html
論文紹介:Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayersToru Tamaki
Lei Ke, Yu-Wing Tai, Chi-Keung Tang, "Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers" CVPR2021
https://openaccess.thecvf.com/content/CVPR2021/html/Ke_Deep_Occlusion-Aware_Instance_Segmentation_With_Overlapping_BiLayers_CVPR_2021_paper.html
論文紹介:Multi-criteria Token Fusion with One-step-ahead Attention for Efficient ...Toru Tamaki
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim, "Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers" arXiv2024
https://arxiv.org/abs/2403.10030
論文紹介:ArcFace: Additive Angular Margin Loss for Deep Face RecognitionToru Tamaki
Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou , "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" CVPR2019
https://openaccess.thecvf.com/content_CVPR_2019/html/Deng_ArcFace_Additive_Angular_Margin_Loss_for_Deep_Face_Recognition_CVPR_2019_paper.html
論文紹介:Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayersToru Tamaki
Lei Ke, Yu-Wing Tai, Chi-Keung Tang, "Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers" CVPR2021
https://openaccess.thecvf.com/content/CVPR2021/html/Ke_Deep_Occlusion-Aware_Instance_Segmentation_With_Overlapping_BiLayers_CVPR_2021_paper.html
論文紹介:Automated Classification of Model Errors on ImageNetToru Tamaki
Momchil Peychev, Mark Müller, Marc Fischer, Martin Vechev, " Automated Classification of Model Errors on ImageNet", NeurIPS2023
https://proceedings.neurips.cc/paper_files/paper/2023/hash/7480ed13740773505262791131c12b89-Abstract-Conference.html
論文紹介:MOSE: A New Dataset for Video Object Segmentation in Complex ScenesToru Tamaki
Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H.S. Torr, Song Bai, " MOSE: A New Dataset for Video Object Segmentation in Complex Scenes " ICCV2023
論文紹介:Tracking Anything with Decoupled Video SegmentationToru Tamaki
Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee, " Tracking Anything with Decoupled Video Segmentation " ICCV2023
https://openaccess.thecvf.com/content/ICCV2023/html/Cheng_Tracking_Anything_with_Decoupled_Video_Segmentation_ICCV_2023_paper.html
論文紹介:Real-Time Evaluation in Online Continual Learning: A New HopeToru Tamaki
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H.S. Torr, Bernard Ghanem, " Real-Time Evaluation in Online Continual Learning: A New Hope " CVPR2023
https://openaccess.thecvf.com/content/CVPR2023/html/Ghunaim_Real-Time_Evaluation_in_Online_Continual_Learning_A_New_Hope_CVPR_2023_paper.html
論文紹介:PointNet: Deep Learning on Point Sets for 3D Classification and Segmenta...Toru Tamaki
Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas, " PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation " CVPR2017
https://openaccess.thecvf.com/content_cvpr_2017/html/Qi_PointNet_Deep_Learning_CVPR_2017_paper.html
論文紹介:Revealing the unseen: Benchmarking video action recognition under occlusionToru Tamaki
Shresth Grover, Vibhav Vineet, Yogesh S Rawat, "Revealing the unseen: Benchmarking video action recognition under occlusion" NeurIPS2023
https://openreview.net/forum?id=1jrYSOG7DR
論文紹介:Video Task Decathlon: Unifying Image and Video Tasks in Autonomous DrivingToru Tamaki
Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu, "Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving" ICCV2023
https://openaccess.thecvf.com/content/ICCV2023/html/Huang_Video_Task_Decathlon_Unifying_Image_and_Video_Tasks_in_Autonomous_ICCV_2023_paper.html
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
論文紹介:Automated Classification of Model Errors on ImageNetToru Tamaki
Momchil Peychev, Mark Müller, Marc Fischer, Martin Vechev, " Automated Classification of Model Errors on ImageNet", NeurIPS2023
https://proceedings.neurips.cc/paper_files/paper/2023/hash/7480ed13740773505262791131c12b89-Abstract-Conference.html
論文紹介:MOSE: A New Dataset for Video Object Segmentation in Complex ScenesToru Tamaki
Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H.S. Torr, Song Bai, " MOSE: A New Dataset for Video Object Segmentation in Complex Scenes " ICCV2023
論文紹介:Tracking Anything with Decoupled Video SegmentationToru Tamaki
Ho Kei Cheng, Seoung Wug Oh, Brian Price, Alexander Schwing, Joon-Young Lee, " Tracking Anything with Decoupled Video Segmentation " ICCV2023
https://openaccess.thecvf.com/content/ICCV2023/html/Cheng_Tracking_Anything_with_Decoupled_Video_Segmentation_ICCV_2023_paper.html
論文紹介:Real-Time Evaluation in Online Continual Learning: A New HopeToru Tamaki
Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H.S. Torr, Bernard Ghanem, " Real-Time Evaluation in Online Continual Learning: A New Hope " CVPR2023
https://openaccess.thecvf.com/content/CVPR2023/html/Ghunaim_Real-Time_Evaluation_in_Online_Continual_Learning_A_New_Hope_CVPR_2023_paper.html
論文紹介:PointNet: Deep Learning on Point Sets for 3D Classification and Segmenta...Toru Tamaki
Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas, " PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation " CVPR2017
https://openaccess.thecvf.com/content_cvpr_2017/html/Qi_PointNet_Deep_Learning_CVPR_2017_paper.html
論文紹介:Revealing the unseen: Benchmarking video action recognition under occlusionToru Tamaki
Shresth Grover, Vibhav Vineet, Yogesh S Rawat, "Revealing the unseen: Benchmarking video action recognition under occlusion" NeurIPS2023
https://openreview.net/forum?id=1jrYSOG7DR
論文紹介:Video Task Decathlon: Unifying Image and Video Tasks in Autonomous DrivingToru Tamaki
Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu, "Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving" ICCV2023
https://openaccess.thecvf.com/content/ICCV2023/html/Huang_Video_Task_Decathlon_Unifying_Image_and_Video_Tasks_in_Autonomous_ICCV_2023_paper.html
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath