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11 papers · 1 filter
AIDE: Automated Instruction via Distilled Expertise for Reference-Free Motor Skill Coaching
Yoshiki Ito
Generating natural-language coaching feedback on motor skills can accelerate learning, yet expert coaches are scarce and expensive. Existing reference-based methods require expert…
IPFed: Identity protected federated learning for user authentication
Yosuke Kaga, Yusei Suzuki, Kenta Takahashi
With the development of laws and regulations related to privacy preservation, it has become difficult to collect personal data to perform machine learning. In this context, federat…
Class-Difficulty Based Methods for Long-Tailed Visual Recognition
Saptarshi Sinha, Hiroki Ohashi, Katsuyuki Nakamura
Long-tailed datasets are very frequently encountered in real-world use cases where few classes or categories (known as majority or head classes) have higher number of data samples…
Evaluating the Stability of Deep Image Quality Assessment With Respect to Image Scaling
Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
Image quality assessment (IQA) is a fundamental metric for image processing tasks (e.g., compression). With full-reference IQAs, traditional IQAs, such as PSNR and SSIM, have been…
Sensor-Augmented Egocentric-Video Captioning with Dynamic Modal Attention
Katsuyuki Nakamura, Hiroki Ohashi, Mitsuhiro Okada
Automatically describing video, or video captioning, has been widely studied in the multimedia field. This paper proposes a new task of sensor-augmented egocentric-video captioning…
Robust Unsupervised Multi-Object Tracking in Noisy Environments
C. -H. Huck Yang, Mohit Chhabra, Y. -C. Liu +3
Physical processes, camera movement, and unpredictable environmental conditions like the presence of dust can induce noise and artifacts in video feeds. We observe that popular uns…