451 citations · 1k across the 33 of their papers we have counts for
10 papers · 1 filter
Multichannel Semantic Segmentation with Unsupervised Domain Adaptation
Kohei Watanabe, Kuniaki Saito, Yoshitaka Ushiku +1
Most contemporary robots have depth sensors, and research on semantic segmentation with RGBD images has shown that depth images boost the accuracy of segmentation. Since it is time…
Conditional Video Generation Using Action-Appearance Captions
Shohei Yamamoto, Antonio Tejero-de-Pablos, Yoshitaka Ushiku +1
The field of automatic video generation has received a boost thanks to the recent Generative Adversarial Networks (GANs). However, most existing methods cannot control the contents…
Strong-Weak Distribution Alignment for Adaptive Object Detection
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada +1
We propose an approach for unsupervised adaptation of object detectors from label-rich to label-poor domains which can significantly reduce annotation costs associated with detecti…
Generating Easy-to-Understand Referring Expressions for Target Identifications
Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka +3
This paper addresses the generation of referring expressions that not only refer to objects correctly but also let humans find them quickly. As a target becomes relatively less sal…
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada
Generative adversarial networks (GANs) are a framework that learns a generative distribution through adversarial training. Recently, their class-conditional extensions (e.g., condi…
Class-Distinct and Class-Mutual Image Generation with GANs
Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada
Class-conditional extensions of generative adversarial networks (GANs), such as auxiliary classifier GAN (AC-GAN) and conditional GAN (cGAN), have garnered attention owing to their…
Visual Question Generation for Class Acquisition of Unknown Objects
Kohei Uehara, Antonio Tejero-De-Pablos, Yoshitaka Ushiku +1
Traditional image recognition methods only consider objects belonging to already learned classes. However, since training a recognition model with every object class in the world i…
Customized Image Narrative Generation via Interactive Visual Question Generation and Answering
Andrew Shin, Yoshitaka Ushiku, Tatsuya Harada
Image description task has been invariably examined in a static manner with qualitative presumptions held to be universally applicable, regardless of the scope or target of the des…
Viewpoint-aware Video Summarization
Atsushi Kanehira, Luc Van Gool, Yoshitaka Ushiku +1
This paper introduces a novel variant of video summarization, namely building a summary that depends on the particular aspect of a video the viewer focuses on. We refer to this as…
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku +1
Numerous algorithms have been proposed for transferring knowledge from a label-rich domain (source) to a label-scarce domain (target). Almost all of them are proposed for a closed-…