Shuhei Tarashima — accepted AI-conference papers

2018

Unsupervised Object Proposal Using Depth Boundary Density and Density Uniformity

Takashi Hosono, Shuhei Tarashima, Jun Shimamura, Tetsuya Kinebuchi

IROS 2018poster

Object proposal that detects candidate bounding boxes of objects in images is an effective way of accelerating object recognition in the robot/computer vision area. We propose an accurate and fast object proposal method using depth images. Existing proposal methods can be roughly divided into two ca…

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2017

Cross-modal transfer with neural word vectors for image feature learning

Go Irie, Taichi Asami, Shuhei Tarashima, Takayuki Kurozumi, Tetsuya Kinebuchi

ICASSP 2017accepted

Neural word vector (NWV) such as word2vec is a powerful text representation tool that can encode extensive semantic information into compact vectors. This ability poses an interesting question in relation to image processing research - Can we learn better semantic image features from NWVs? We empiri…

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