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2020 – today
- 2024
[c20]Florian Beye, Yasunori Babazaki, Ryuhei Ando, Takashi Oshiba, Koichi Nihei, Katsuhiko Takahashi:
SwitchingNet: Edge-Assisted Model Switching for Accurate Video Recognition Over Best-Effort Networks. CCNC 2024: 37-43- [c19]Yuta Sone, Katsuki Teraoka, Kenta Azuma, Ryoichi Shinkuma, Gabriele Trovato, Koichi Nihei, Takanori Iwai:
Calibration of Real-Time LIDAR Data with Static 3D Image. CCNC 2024: 1072-1073 - 2023
- [c18]Florian Beye, Yusuke Shinohara, Hayato Itsumi, Koichi Nihei:
Recognition-aware Bitrate Allocation for AI-Enabled Remote Video Surveillance. CCNC 2023: 158-163 - [c17]Masaki Wago, Kuon Akiyama, Ryoichi Shinkuma, Gabriele Trovato, Koichi Nihei, Takanori Iwai:
Prototype of edge sensing and computing system with multi-LIDAR network for autonomous micro-mobility. CCNC 2023: 927-928 - [c16]Koichi Nihei, Hayato Itsumi, Yusuke Shinohara, Tomonao Araki, Takanori Iwai:
Multiple Cars Remote Monitoring System using AI-based Video Streaming and Alert. VTC2023-Spring 2023: 1-7 - 2022
- [c15]Koichi Nihei, Natsuki Kai, Yuki Maruyama, Toshiaki Yamashita, Dai Kanetomo, Takako Kitahara, Masaaki Maruyama, Takashi Ohki, Kitso Kusin
, Hendrik Segah:
Forest Fire Surveillance using Live Video Streaming from UAV via Multiple LTE Networks. CCNC 2022: 465-468 - [c14]Kuon Akiyama, Ryoichi Shinkuma, Chotaro Yamamoto, Mai Saito, Toshio Ito, Koichi Nihei, Takanori Iwai:
Edge computing system with multi-LIDAR sensor network for robustness of autonomous personal-mobility. ICDCS Workshops 2022: 290-295 - [c13]Florian Beye, Hayato Itsumi, Charvi Vitthal, Koichi Nihei:
Recognition-Aware Deep Video Compression for Remote Surveillance. ICIP 2022: 1986-1990 - [c12]Hayato Itsumi, Florian Beye, Charvi Vitthal, Koichi Nihei:
Learning Important Regions via Attention for Video Streaming on Cloud Robotics. IROS 2022: 6833-6839 - 2021
- [c11]Dheeraj Kotagiri, Koichi Nihei, Tansheng Li:
Distributed Convolutional Deep Reinforcement Learning based OFDMA MAC for 802.11ax. ICC 2021: 1-6 - 2020
- [c10]Yuxuan Jiang, Koichi Nihei, Junnan Li, Hiroshi Yoshida, Dai Kanetomo:
Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications. ICC Workshops 2020: 1-7 - [c9]Dheeraj Kotagiri, Koichi Nihei, Tansheng Li:
Multi-User Distributed Spectrum Access Method for 802.11ax Stations. ICCCN 2020: 1-2
2010 – 2019
- 2018
- [c8]Natsuki Kai, Hiroshi Yoshida, Koichi Nihei:
An ensemble method for estimating TCP throughput on application layer. CCNC 2018: 1-4 - [c7]Koichi Nihei, Hiroshi Yoshida, Natsuki Kai, Kozo Satoda, Keiichi Chono:
Adaptive Bitrate Control of Scalable Video for Live Video Streaming on Best-Effort Network. GLOBECOM 2018: 1-7 - 2017
- [c6]Koichi Nihei, Hiroshi Yoshida, Natsuki Kai, Dai Kanetomo, Kozo Satoda:
QoE maximizing bitrate control for live video streaming on a mobile uplink. ConTEL 2017: 91-98 - 2016
- [c5]Koichi Nihei, Kozo Satoda, Hiroshi Yoshida:
A QoE indicator and a transmission control method for VoIP on mobile networks considering delay spikes. ICC 2016: 1-6 - [c4]Takashi Oshiba, Kousuke Nogami, Koichi Nihei, Kozo Satoda:
Robust available bandwidth estimation against dynamic behavior of packet scheduler in operational LTE networks. ISCC 2016: 1276-1283 - 2015
- [c3]Natsuki Kai, Hiroshi Yoshida, Koichi Nihei, Kozo Satoda, Dai Kanetomo:
A dynamic rate switching method for live video streaming using a smart device. APCC 2015: 585-589 - [c2]Koichi Nihei, Kozo Satoda:
Study on mechanism and reduction approaches of delay spikes occurrence on mobile networks. ConTEL 2015: 1-7 - 2014
- [c1]Kozo Satoda, Koichi Nihei, Hiroshi Yoshida:
Quality evaluation of voice over multiple TCP connections. ICNC 2014: 141-146
Coauthor Index
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