Yasunori Ishii | Researchers | Panasonic AI | Panasonic Research and Development on Artificial Intelligence (AI) - Panasonic

Yasunori Ishii

Yasunori Ishii

Yasunori Ishii

Major: Information Engineering (Natural Science)
AI Solution Center, Business Innovation Division, Panasonic
Joined 2003

My work involves research and development of image processing based on deep learning, which is to develop algorithms to improve recognition accuracy by detecting key information from a large quantity of images. At the time when I worked on developing digital cameras, I faced difficulties in improving the developed product with algorithms, but it eventually improved. This challenging experience and the joy after success became the source of my research and development. Now, I start considering about the best algorithms when thinking of product design. Although deep learning is still in the course of development, I would like to proactively implement new technology into product development.

*The department is where the interviewee belonged to at that time

Publications

European Conference on Computer Vision (ECCV) 2022

Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion

Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii and Takayoshi Yamashita
arXiv: https://arxiv.org/abs/2111.12927
Project page: https://github.com/panasonic-ai/rethinking-generic-camera-models
Panasonic News Room: [Press Release] Panasonic Holdings Develops Advanced AI Technology, Accepted to ECCV2022, and IROS2022, Top Conferences in the Field of AI and Robotics
ECCV2022 Workshop AV4D: Visual Learning of Sounds in Spaces

Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net

Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita
Link: https://arxiv.org/abs/2205.05293
arXiv:2204.07280

Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder

Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita
Link: https://arxiv.org/abs/2204.07280
International Conference on Computer Vision(ICCV) Workhop "Interactive Labeling and Data Augmentation for Vision (ILDAV)"

CutDepth:Edge-aware Data Augmentation in Depth Estimation

Yasunori Ishii, Takayoshi Yamashita
Link: https://arxiv.org/abs/2107.07684
IEEE International Conference on Machine Vision and Applications (MVA) 2021

Lossless AI: Toward Guaranteeing Consistency between Inferences Before and After Quantization via Knowledge Distillation (Best Poster Award)

Tomoyuki Okuno, Yohei Nakata, Yasunori Ishii, and Sotaro Tsukizawa
Link: http://www.mva-org.jp/Proceedings/2021/papers/P1-9.pdf
European Conference on Computer Vision(ECCV) Workshop "The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS20)"

Privacy-Aware Face Recognition with Lensless Multi-Pinhole Camera

Yasunori Ishii, Takayoshi Yamashita, Satoshi Sato
Link: https://link.springer.com/chapter/10.1007/978-3-030-68238-5_35
International Conference on Computer Vision Theory and Applications (VISAPP) 2020

Simultaneous Visual Context-aware Path Prediction

Haruka Iesaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka, Ryota Fujimura
Link: https://www.scitepress.org/Link.aspx?doi=10.5220/0008921307410748
IEEE/CVF International Conference on Computer Vision Workshop (ICCVW 2019)

Adherent Raindrop Removal with Self-Supervised Attention Maps and Spatio-Temporal Generative Adversarial Networks

Stefano Alletto, Casey Carlin, Luca Rigazio, Yasunori Ishii, Sotaro Tsukizawa
Link: http://openaccess.thecvf.com/content_ICCVW_2019/papers/ADW/Alletto_Adherent_Raindrop_Removal_with_Self-Supervised_Attention_Maps_and_Spatio-Temporal_Generative_ICCVW_2019_paper.pdf
NeurIPS Workshop on Systems for ML and Open Source Software

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

Denis Gudovskiy, Alec Hodgkinson, Takuya Yamaguchi, Yasunori Ishii, Sotaro Tsukizawa
Link: https://arxiv.org/abs/1811.08011
3rd IAPR Asian Conference on Pattern Recognition (ACPR) 2015

Deep Learning using Heterogeneous Feature Maps for Maxout Networks

Yasunori Ishii, Reiko Hagawa, Sotaro Tsukizawa
Link: https://ieeexplore.ieee.org/document/7486545
3rd IAPR Asian Conference on Pattern Recognition (ACPR) 2015

Multi-staged Deep Learning with Created Coarse and Appended Fine Categories

Reiko Hagawa, Yasunori Ishii, Sotaro Tsukizawa
Link: https://ieeexplore.ieee.org/document/7486461