19 citations · 29 across the 5 of their papers we have counts for
5 papers
Hierarchical Neural Memory Network for Low Latency Event Processing
Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi +1
This paper proposes a low latency neural network architecture for event-based dense prediction tasks. Conventional architectures encode entire scene contents at a fixed rate regard…
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi +1
This paper proposes a novel heterogeneous grid convolution that builds a graph-based image representation by exploiting heterogeneity in the image content, enabling adaptive, effic…
Epipolar-Guided Deep Object Matching for Scene Change Detection
Kento Doi, Ryuhei Hamaguchi, Shun Iwase +3
This paper describes a viewpoint-robust object-based change detection network (OBJ-CDNet). Mobile cameras such as drive recorders capture images from different viewpoints each time…
Rare Event Detection using Disentangled Representation Learning
Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura
This paper presents a novel method for rare event detection from an image pair with class-imbalanced datasets. A straightforward approach for event detection tasks is to train a de…
Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery
Ryuhei Hamaguchi, Aito Fujita, Keisuke Nemoto +2
Thanks to recent advances in CNNs, solid improvements have been made in semantic segmentation of high resolution remote sensing imagery. However, most of the previous works have no…