151 citations · 306 across the 8 of their papers we have counts for
9 papers
F2SD: A dataset for end-to-end group detection algorithms
Giang Hoang, Tuan Nguyen Dinh, Tung Cao Hoang +6
The lack of large-scale datasets has been impeding the advance of deep learning approaches to the problem of F-formation detection. Moreover, most research works on this problem re…
3D Pipe Network Reconstruction Based on Structure from Motion with Incremental Conic Shape Detection and Cylindrical Constraint
Sho kagami, Hajime Taira, Naoyuki Miyashita +2
Pipe inspection is a critical task for many industries and infrastructure of a city. The 3D information of a pipe can be used for revealing the deformation of the pipe surface and…
Is This The Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization
Hajime Taira, Ignacio Rocco, Jiri Sedlar +5
Visual localization in large and complex indoor scenes, dominated by weakly textured rooms and repeating geometric patterns, is a challenging problem with high practical relevance…
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla +4
In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions. We propose an approach where a single convolutional neural n…
Neighbourhood Consensus Networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović +3
We address the problem of finding reliable dense correspondences between a pair of images. This is a challenging task due to strong appearance differences between the corresponding…
Structure-from-Motion using Dense CNN Features with Keypoint Relocalization
Aji Resindra Widya, Akihiko Torii, Masatoshi Okutomi
Structure from Motion (SfM) using imagery that involves extreme appearance changes is yet a challenging task due to a loss of feature repeatability. Using feature correspondences o…