Towards Accurate and Scalable Performance Prediction for Automated Service Design in NFV. - Florian Beye; Yusuke Shinohara; Hideyuki Shimonishi (CCNC, 2019)

Training With Cache: Specializing Object Detectors From Live Streams Without Overfitting. - Hayato Itsumi; Florian Beye; Yusuke Shinohara; Takanori Iwai (ICIP, 2020)

Video Compression Estimating Recognition Accuracy for Remote Site Object Detection. - Yusuke Shinohara; Hayato Itsumi; Florian Beye; Takanori Iwai (IWCMC, 2020)

Edge Cloud Ensemble with Motion Vectors for Object Detection in Wireless Environments. - Hayato Itsumi; Florian Beye; Yusuke Shinohara; Charvi Vitthal; Takanori Iwai (ICC, 2021)

Recognition-Aware Deep Video Compression for Remote Surveillance. - Florian Beye; Hayato Itsumi; Charvi Vitthal; Koichi Nihei (ICIP, 2022)

Learning Important Regions via Attention for Video Streaming on Cloud Robotics. - Hayato Itsumi; Florian Beye; Charvi Vitthal; Koichi Nihei (IROS, 2022)

Recognition-aware Bitrate Allocation for AI-Enabled Remote Video Surveillance. - Florian Beye; Yusuke Shinohara; Hayato Itsumi; Koichi Nihei (CCNC, 2023)

SwitchingNet: Edge-Assisted Model Switching for Accurate Video Recognition Over Best-Effort Networks. - Florian Beye; Yasunori Babazaki; Ryuhei Ando; Takashi Oshiba; Koichi Nihei; Katsuhiko Takahashi (CCNC, 2024)