Personal Information
Organization / Workplace
Japan Japan
Occupation
Technical Solution Architect
Industry
Technology / Software / Internet
About
Developing image recognition software, consulting the state of the art computer vision technologies, managing to develop computer vision system, etc
Tags
computer vision
cvsaisentan
deep learning
cvpr
point cloud
japancv
autonomous driving
lidar
semantic segmentation
slam
object detection
prml
survey
eccv
machine learning
augmented reality
ar
visual slam
3d
iccv
structure from motion
kantocv
nagoyacv
lmeads
icp algorithm
cvsaisentan computer vision
opencv
gaussian process
ラプラス近似
ガウス過程
business
computer
multi view stereo
neural network
face recognition
cvpr2012
constrained local model
face tracking
nips
ocr
tesseract ocr
m estimater
gaussian mixture model
state space models
event camera
iot
mlops
nerf
transformer
ddpm
iclr
job
ai
prmu
kansaicv
person re-identification
image classification
3d reconstruction
jpta
tensorflow
keras
3dcvtech
orb
reinforcement learning
勉強会
自動運転
calibration
video segmentation
instance level segmentation
cityscapes benchmark
computational photography
dlib
tracking
em algorithm
See more
- Presentations
- Documents
- Infographics
大量時空間データの処理 ~ 現状の課題と今後OSSが解決すべきこと。(Open Source Conference 2021 Online/Osaka講演資料)
NTT DATA Technology & Innovation
•
3 years ago
DXとかDevOpsとかのなんかいい感じのやつ 富士通TechLive
Tokoroten Nakayama
•
4 years ago
機械学習モデルの判断根拠の説明(Ver.2)
Satoshi Hara
•
4 years ago
SLAM開発における課題と対策の一例の紹介
miyanegi
•
4 years ago
FIWARE勉強会 20190913
Nobuyuki Matsui
•
4 years ago
Structured Light 技術俯瞰
Teppei Kurita
•
4 years ago
SIGMOD 2019 参加報告
Masafumi Oyamada
•
5 years ago
HoloGAN: Unsupervised Learning of 3D Representations from Natural Images
Kento Doi
•
5 years ago
幾何を使った統計のはなし
Toru Imai
•
12 years ago
ユーザとベンダ双方にとって幸せなAI開発のための3つのポイント
Deep Learning Lab(ディープラーニング・ラボ)
•
6 years ago
Deep Learningによる超解像の進歩
Hiroto Honda
•
6 years ago
Icassp2018 発表参加報告 FFTNet, Tactron2紹介
Kentaro Tachibana
•
6 years ago
Image Retrieval Overview (from Traditional Local Features to Recent Deep Learning Approaches)
Yusuke Uchida
•
6 years ago
機械学習の精度と売上の関係
Tokoroten Nakayama
•
6 years ago
人工知能と社会
Hiroshi Nakagawa
•
6 years ago
Inverse Reward Design の紹介
Chihiro Kusunoki
•
6 years ago
計算機アーキテクチャを考慮した高能率画像処理プログラミング
Norishige Fukushima
•
6 years ago
ゼロから始める自然言語処理 【FIT2016チュートリアル】
Yuki Arase
•
8 years ago
2017.10.12 PRMU 研究会
Tomohiro Takahashi
•
7 years ago