Atsunori Kanemura

Scientist, National Institute of Advanced Industrial Science and Technology (AIST)

Joined

October 2017

Names

Atsunori Kanemura

Emails

****@aist.go.jp (Confirmed)

****@gmail.com (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

Scientist

National Institute of Advanced Industrial Science and Technology (AIST) (aist.go.jp)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table
Hiroyuki Tokunaga, Joel Nicholls, Daria Vazhenina, Atsunori Kanemura
- CoRR 2024
- Readers: Everyone
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection
Ryuji Imamura, Kohei Azuma, Atsushi Hanamoto, Atsunori Kanemura
- CoRR 2021
- Readers: Everyone
Are armband sEMG devices dense enough for long-term use? - Sensor placement shifts cause significant reduction in recognition accuracy
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
- Biomed. Signal Process. Control. 2020
- Readers: Everyone
Designing Lightweight Feature Descriptor Networks with Depthwise Separable Convolution
Yeo Ree Wang, Atsunori Kanemura
- JSAI 2020
- Readers: Everyone
Gated Extra Memory Recurrent Unit for Learning Video Representations
Daria Vazhenina, Atsunori Kanemura
- JSAI 2020
- Readers: Everyone
Multi-Sensor Integration for Key-Frame Extraction From First-Person Videos
Yujie Li, Atsunori Kanemura, Hideki Asoh, Taiki Miyanishi, Motoaki Kawanabe
- 2020 (modified: 22 Nov 2022)
- IEEE Access 2020
- Readers: Everyone
Evaluation of neural networks with data quantization in low power consumption devices
Lenin Torres-Valverde, Nevrez Imamoglu, Antonio González Torres, Toru Kouyama, Atsunori Kanemura
- Published: 01 Jan 2020, Last Modified: 29 Feb 2024
- LASCAS 2020
- Readers: Everyone
Reducing the Number of Multiplications in Convolutional Recurrent Neural Networks (ConvRNNs)
Daria Vazhenina, Atsunori Kanemura
- JSAI 2019
- Readers: Everyone
Multi-scale dictionary learning for ocular artifact reduction from single-channel electroencephalograms
Suguru Kanoga, Atsunori Kanemura, Hideki Asoh
- Neurocomputing 2019
- Readers: Everyone
Residual-Network-Based Supervised Gaze Prediction for First-Person Videos
Yujie Li, Shuxue Ding, Xiang Li, Benying Tan, Atsunori Kanemura
- IEEE Access 2019
- Readers: Everyone

View all 49 publications

Co-Authors

View all 67 co-authors