9 citations · 24 across the 14 of their papers we have counts for
14 papers
Manipulating Vehicle 3D Shapes through Latent Space Editing
JiangDong Miao, Tatsuya Ikeda, Bisser Raytchev +6
Although 3D object editing has the potential to significantly influence various industries, recent research in 3D generation and editing has primarily focused on converting text an…
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
Sora Iwamoto, Bisser Raytchev, Toru Tamaki +1
In this paper we propose a novel method which leverages the uncertainty measures provided by Bayesian deep networks through curriculum learning so that the uncertainty estimates ar…
Rephrasing visual questions by specifying the entropy of the answer distribution
Kento Terao, Toru Tamaki, Bisser Raytchev +2
Visual question answering (VQA) is a task of answering a visual question that is a pair of question and image. Some visual questions are ambiguous and some are clear, and it may be…
An Entropy Clustering Approach for Assessing Visual Question Difficulty
Kento Terao, Toru Tamaki, Bisser Raytchev +2
We propose a novel approach to identify the difficulty of visual questions for Visual Question Answering (VQA) without direct supervision or annotations to the difficulty. Prior wo…
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…
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…