1 citations · 2 across the 6 of their papers we have counts for
8 papers
On-line non-overlapping camera calibration net
Zhao Fangda, Toru Tamaki, Takio Kurita +2
We propose an easy-to-use non-overlapping camera calibration method. First, successive images are fed to a PoseNet-based network to obtain ego-motion of cameras between frames. Nex…
Meaning guided video captioning
Rushi J. Babariya, Toru Tamaki
Current video captioning approaches often suffer from problems of missing objects in the video to be described, while generating captions semantically similar with ground truth sen…
Improved Activity Forecasting for Generating Trajectories
Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa +3
An efficient inverse reinforcement learning for generating trajectories is proposed based of 2D and 3D activity forecasting. We modify reward function with norm and propose c…
Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis
Toru Tamaki, Daisuke Ogawa, Bisser Raytchev +1
In this paper, we propose a method for semantic segmentation of pedestrian trajectories based on pedestrian behavior models, or agents. The agents model the dynamics of pedestrian…
Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images
Shohei Hayashi, Bisser Raytchev, Toru Tamaki +1
In this paper we propose a novel deep learning-based algorithm for biomedical image segmentation which uses a sequential attention mechanism able to shift the focus of attention ac…
Survey on Vision-based Path Prediction
Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki +1
Path prediction is a fundamental task for estimating how pedestrians or vehicles are going to move in a scene. Because path prediction as a task of computer vision uses video as in…