Personal Information
Organization / Workplace
Tokyo Japan
Occupation
Research engineer
Industry
Technology / Software / Internet
Website
yu4u.github.io/
About
General Manager at Mobility Technologies https://mo-t.com/ / Ph.D. in Eng. / Kaggle Master http://kaggle.com/ren4yu/ / Interested in deep learning, image recognition, image retrieval.
Tags
deep learning
deep neural networks
深層学習
convolutional neural networks
畳み込みニューラルネットワーク
pruning
acceleration
cnn
物体検出
computer vision
object detection
signate
competition
ml ops
cvpr
cv
vision transformer
swintransformer
vit
transformer
コンペティション
セグメンテーション
segmentation
data science
edge ai
graph neural network
active learning
weakly-supervised
unsupervised
semi-supervised
forensics
deep fakes
nas
neural architecture search
枝刈り
高速化
metric learning
kaggle
business
画像検索
image retrieval
事故低減
distillation
model architecture
detection
digital watermarking
face detection
residual network
information retrieval
sigir
web search
product quantization
hashing
k-means
bovw
bof
特定物体認識
See more
Presentations
(30)Likes
(70)[ICLR/ICML2019読み会] A Wrapped Normal Distribution on Hyperbolic Space for Gradient Based Learning (ICML2019)
Yoshihiro Nagano
•
4 years ago
190412 Annotation Survey@関東CV勉強会
Takanori Ogata
•
4 years ago
AutoML in NeurIPS 2018
Shotaro Sano
•
4 years ago
複数人物姿勢推定におけるKnowledge Distillationを用いた教師ラベル補正手法の提案
Naoki Kato
•
5 years ago
Deep Learningによる超解像の進歩
Hiroto Honda
•
5 years ago
機械学習の精度と売上の関係
Tokoroten Nakayama
•
5 years ago
単語・句の分散表現の学習
Naoaki Okazaki
•
7 years ago
深層学習の判断根拠を理解するための 研究とその意義 @PRMU 2017熊本
Takahiro Kubo
•
5 years ago
ICCV2017一人読み会
Fujimoto Keisuke
•
6 years ago
Deep Learning Framework Comparison on CPU
Fujimoto Keisuke
•
6 years ago
意識の低い自動化
greenasparagus
•
8 years ago
CVPR2017勉強会 Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
Koichi Takahashi
•
6 years ago
Recent rl
Reiji Hatsugai
•
6 years ago
Learning Convolutional Neural Networks for Graphs
Takuya Akiba
•
7 years ago
Res netと派生研究の紹介
masataka nishimori
•
7 years ago
Convolutional Neural Networks のトレンド @WBAFLカジュアルトーク#2
Daiki Shimada
•
7 years ago
Deep Convolutional Generative Adversarial Networks - Nextremer勉強会資料
tm_2648
•
7 years ago
ROSによるロボットソフトウェアの開発
Yuji Yamauchi
•
7 years ago
DeNAの機械学習・深層学習活用した体験提供の挑戦
Koichi Hamada
•
7 years ago
デジタルゲームにおける人工知能のワークフローと導入フロー
Youichiro Miyake
•
7 years ago
マルチスクリーン対応と最近のアプリの傾向
Yuki Anzai
•
10 years ago
CommonJSの話
terurou
•
12 years ago
Fisher Vectorによる画像認識
Takao Yamanaka
•
10 years ago
機械学習の理論と実践
Preferred Networks
•
10 years ago
CVIM#11 3. 最小化のための数値計算
sleepy_yoshi
•
12 years ago
ブラウザからWeb OSへ〜Web - TV連携事例からその可能性を探る〜
Kensaku Komatsu
•
10 years ago
オフラインファーストの思想と実践
Shumpei Shiraishi
•
10 years ago
Seminar 130107 ver2_public_embed
tanafuyu
•
10 years ago
ウェーブレット木の世界
Preferred Networks
•
10 years ago
Learning Deep Architectures for AI (第 3 回 Deep Learning 勉強会資料; 松尾)
Ohsawa Goodfellow
•
10 years ago
Personal Information
Organization / Workplace
Tokyo Japan
Occupation
Research engineer
Industry
Technology / Software / Internet
Website
yu4u.github.io/
About
General Manager at Mobility Technologies https://mo-t.com/ / Ph.D. in Eng. / Kaggle Master http://kaggle.com/ren4yu/ / Interested in deep learning, image recognition, image retrieval.
Tags
deep learning
deep neural networks
深層学習
convolutional neural networks
畳み込みニューラルネットワーク
pruning
acceleration
cnn
物体検出
computer vision
object detection
signate
competition
ml ops
cvpr
cv
vision transformer
swintransformer
vit
transformer
コンペティション
セグメンテーション
segmentation
data science
edge ai
graph neural network
active learning
weakly-supervised
unsupervised
semi-supervised
forensics
deep fakes
nas
neural architecture search
枝刈り
高速化
metric learning
kaggle
business
画像検索
image retrieval
事故低減
distillation
model architecture
detection
digital watermarking
face detection
residual network
information retrieval
sigir
web search
product quantization
hashing
k-means
bovw
bof
特定物体認識
See more