論文紹介:A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, a...Toru Tamaki
Chaoyang Zhu, Long Chen, "A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future" arXiv2023
https://arxiv.org/abs/2307.09220
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:A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, a...Toru Tamaki
Chaoyang Zhu, Long Chen, "A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future" arXiv2023
https://arxiv.org/abs/2307.09220
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
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
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
This study Examines the Effectiveness of Talent Procurement through the Imple...DharmaBanothu
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Impartiality as per ISO /IEC 17025:2017 StandardMuhammadJazib15
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Levelised Cost of Hydrogen (LCOH) Calculator ManualMassimo Talia
The aim of this manual is to explain the
methodology behind the Levelized Cost of
Hydrogen (LCOH) calculator. Moreover, this
manual also demonstrates how the calculator
can be used for estimating the expenses associated with hydrogen production in Europe
using low-temperature electrolysis considering different sources of electricity
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
13. Daisuke Ogawa, Toru Tamaki, Bisser Raytchev and Kazufumi Kaneda, Semantic segmentation of trajectories with agent models, in Proc. of The
International Workshop on Frontiers of Computer Vision (FCV2018), Future University Hakodate, Hakodate, Hokkaido, Japan, February 21-23, 2018
14. Tsubasa Hirakawa, Takayoshi Yamasita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi, "Travel Time-dependent Maximum Entropy Inverse Reinforcement
Learning for Seabird Trajectory Prediction," In Proc. of Asian Conference on Pattern Recognition (ACPR2017), pp. 430-435, Nov. 2017.