3 citations · 5 across the 3 of their papers we have counts for
3 papers
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory
Ryo Fujii, Jayakorn Vongkulbhisal, Ryo Hachiuma +1
Trajectory prediction has gained great attention and significant progress has been made in recent years. However, most works rely on a key assumption that each video is successfull…
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach
Ryo Fujii, Ryo Hachiuma, Hideo Saito
Diminished reality is a technology that aims to remove objects from video images and fills in the missing region with plausible pixels. Most conventional methods utilize the differ…
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
Ryo Hachiuma, Christian Pirchheim, Dieter Schmalstieg +1
We present DetectFusion, an RGB-D SLAM system that runs in real-time and can robustly handle semantically known and unknown objects that can move dynamically in the scene. Our syst…