33 citations · 35 across the 4 of their papers we have counts for
4 papers
Deep Multi-stream Network for Video-based Calving Sign Detection
Ryosuke Hyodo, Teppei Nakano, Tetsuji Ogawa
We have designed a deep multi-stream network for automatically detecting calving signs from video. Calving sign detection from a camera, which is a non-contact sensor, is expected…
Video Surveillance System Incorporating Expert Decision-making Process: A Case Study on Detecting Calving Signs in Cattle
Ryosuke Hyodo, Susumu Saito, Teppei Nakano +3
Through a user study in the field of livestock farming, we verify the effectiveness of an XAI framework for video surveillance systems. The systems can be made interpretable by inc…
Exploring Effectiveness of Inter-Microtask Qualification Tests in Crowdsourcing
Masaya Morinaga, Susumu Saito, Teppei Nakano +2
Qualification tests in crowdsourcing are often used to pre-filter workers by measuring their ability in executing microtasks.While creating qualification tests for each task type i…
TurkScanner: Predicting the Hourly Wage of Microtasks
Susumu Saito, Chun-Wei Chiang, Saiph Savage +3
Workers in crowd markets struggle to earn a living. One reason for this is that it is difficult for workers to accurately gauge the hourly wages of microtasks, and they consequentl…