178 citations · 303 across the 6 of their papers we have counts for
10 papers
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…
Privacy Preserving Visual SLAM
Mikiya Shibuya, Shinya Sumikura, Ken Sakurada
This study proposes a privacy-preserving Visual SLAM framework for estimating camera poses and performing bundle adjustment with mixed line and point clouds in real time. Previous…
SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera
Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura +1
This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so, I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online cali…
TriDepth: Triangular Patch-based Deep Depth Prediction
Masaya Kaneko, Ken Sakurada, Kiyoharu Aizawa
We propose a novel and efficient representation for single-view depth estimation using Convolutional Neural Networks (CNNs). Point-cloud is generally used for CNN-based 3D scene re…
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…