2 citations · 3 across the 3 of their papers we have counts for
3 papers
Anomaly Triplet-Net: Progress Recognition Model Using Deep Metric Learning Considering Occlusion for Manual Assembly Work
Takumi Kitsukawa, Kazuma Miura, Shigeki Yumoto +3
In this paper, a progress recognition method consider occlusion using deep metric learning is proposed to visualize the product assembly process in a factory. First, the target ass…
State-Free Inference of State-Space Models: The Transfer Function Approach
Rom N. Parnichkun, Stefano Massaroli, Alessandro Moro +10
We approach designing a state-space model for deep learning applications through its dual representation, the transfer function, and uncover a highly efficient sequence parallel in…
Expandable YOLO: 3D Object Detection from RGB-D Images
Masahiro Takahashi, Alessandro Moro, Yonghoon Ji +1
This paper aims at constructing a light-weight object detector that inputs a depth and a color image from a stereo camera. Specifically, by extending the network architecture of YO…