activity
20152020
most citedSketch-based Manga Retrieval using Manga109 Dataset

1.5k citations · 1.7k across the 8 of their papers we have counts for

collaborators

8 papers

cs.MM2020★ 99 cited

Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications

Kiyoharu Aizawa, Azuma Fujimoto, Atsushi Otsubo +4

Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset. Hence, we…

cs.CV2019★ 2 cited

Team PFDet's Methods for Open Images Challenge 2019

Yusuke Niitani, Toru Ogawa, Shuji Suzuki +4

We present the instance segmentation and the object detection method used by team PFDet for Open Images Challenge 2019. We tackle a massive dataset size, huge class imbalance and f…

cs.LG2019★ 27 cited

Chainer: A Deep Learning Framework for Accelerating the Research Cycle

Seiya Tokui, Ryosuke Okuta, Takuya Akiba +7

Software frameworks for neural networks play a key role in the development and application of deep learning methods. In this paper, we introduce the Chainer framework, which intend…

cs.CV2018

Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects

Yusuke Niitani, Takuya Akiba, Tommi Kerola +3

Efficient and reliable methods for training of object detectors are in higher demand than ever, and more and more data relevant to the field is becoming available. However, large d…

cs.CV2018★ 15 cited

PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track

Takuya Akiba, Tommi Kerola, Yusuke Niitani +3

We present a large-scale object detection system by team PFDet. Our system enables training with huge datasets using 512 GPUs, handles sparsely verified classes, and massive class…

cs.CV2018★ 43 cited

Object Detection for Comics using Manga109 Annotations

Toru Ogawa, Atsushi Otsubo, Rei Narita +3

With the growth of digitized comics, image understanding techniques are becoming important. In this paper, we focus on object detection, which is a fundamental task of image unders…

cs.CV2017★ 18 cited

ChainerCV: a Library for Deep Learning in Computer Vision

Yusuke Niitani, Toru Ogawa, Shunta Saito +1

Despite significant progress of deep learning in the field of computer vision, there has not been a software library that covers these methods in a unifying manner. We introduce Ch…

cs.CV2015★ 1.5k cited

Sketch-based Manga Retrieval using Manga109 Dataset

Yusuke Matsui, Kota Ito, Yuji Aramaki +2

Manga (Japanese comics) are popular worldwide. However, current e-manga archives offer very limited search support, including keyword-based search by title or author, or tag-based…