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Yusuke Niitani
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2010 – 2019
- 2019
- [c5]Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects. CVPR 2019: 6510-6518 - [c4]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. KDD 2019: 2002-2011 - [i5]Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent:
Chainer: A Deep Learning Framework for Accelerating the Research Cycle. CoRR abs/1908.00213 (2019) - [i4]Yusuke Niitani, Toru Ogawa, Shuji Suzuki, Takuya Akiba, Tommi Kerola, Kohei Ozaki, Shotaro Sano:
Team PFDet's Methods for Open Images Challenge 2019. CoRR abs/1910.11534 (2019) - 2018
- [c3]K. V. Manohar, Yusuke Niitani:
An End-to-End Tree Based Approach for Instance Segmentation. ECCV Workshops (5) 2018: 521-527 - [i3]Takuya Akiba, Tommi Kerola, Yusuke Niitani, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track. CoRR abs/1809.00778 (2018) - [i2]Yusuke Niitani, Takuya Akiba, Tommi Kerola, Toru Ogawa, Shotaro Sano, Shuji Suzuki:
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects. CoRR abs/1811.10862 (2018) - 2017
- [c2]Shun Hasegawa
, Kentaro Wada, Yusuke Niitani, Kei Okada, Masayuki Inaba:
A three-fingered hand with a suction gripping system for picking various objects in cluttered narrow space. IROS 2017: 1164-1171 - [c1]Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito:
ChainerCV: a Library for Deep Learning in Computer Vision. ACM Multimedia 2017: 1217-1220 - [i1]Yusuke Niitani, Toru Ogawa, Shunta Saito, Masaki Saito:
ChainerCV: a Library for Deep Learning in Computer Vision. CoRR abs/1708.08169 (2017)
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