108 citations · 202 across the 12 of their papers we have counts for
13 papers
Guided Image Synthesis via Initial Image Editing in Diffusion Model
Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
Diffusion models have the ability to generate high quality images by denoising pure Gaussian noise images. While previous research has primarily focused on improving the control of…
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks
Tetsu Kasanishi, Xueting Wang, Toshihiko Yamasaki
Graph Neural Networks (GNNs) are deep learning models that take graph data as inputs, and they are applied to various tasks such as traffic prediction and molecular property predic…
Predicting Online Video Advertising Effects with Multimodal Deep Learning
Jun Ikeda, Hiroyuki Seshime, Xueting Wang +1
With expansion of the video advertising market, research to predict the effects of video advertising is getting more attention. Although effect prediction of image advertising has…
Self-Play Reinforcement Learning for Fast Image Retargeting
Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang +1
In this study, we address image retargeting, which is a task that adjusts input images to arbitrary sizes. In one of the best-performing methods called MULTIOP, multiple retargetin…
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised Video Representation Leaning
Li Tao, Xueting Wang, Toshihiko Yamasaki
Recently, pretext-task based methods are proposed one after another in self-supervised video feature learning. Meanwhile, contrastive learning methods also yield good performance.…
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
Li Tao, Xueting Wang, Toshihiko Yamasaki
We propose a self-supervised method to learn feature representations from videos. A standard approach in traditional self-supervised methods uses positive-negative data pairs to tr…
Image Aesthetics Prediction Using Multiple Patches Preserving the Original Aspect Ratio of Contents
Lijie Wang, Xueting Wang, Toshihiko Yamasaki
The spread of social networking services has created an increasing demand for selecting, editing, and generating impressive images. This trend increases the importance of evaluatin…
Motion Representation Using Residual Frames with 3D CNN
Li Tao, Xueting Wang, Toshihiko Yamasaki
Recently, 3D convolutional networks (3D ConvNets) yield good performance in action recognition. However, optical flow stream is still needed to ensure better performance, the cost…
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos
Priyanto Hidayatullah, Xueting Wang, Toshihiko Yamasaki +5
Background and Objective: Object detection is a primary research interest in computer vision. Sperm-cell detection in a densely populated bull semen microscopic observation video p…
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning
Yiyan Chen, Li Tao, Xueting Wang +1
Conventional video summarization approaches based on reinforcement learning have the problem that the reward can only be received after the whole summary is generated. Such kind of…
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
Li Tao, Xueting Wang, Toshihiko Yamasaki
Recently, 3D convolutional networks yield good performance in action recognition. However, optical flow stream is still needed to ensure better performance, the cost of which is ve…
Measuring Similarity between Brands using Followers' Post in Social Media
Yiwei Zhang, Xueting Wang, Yoshiaki Sakai +1
In this paper, we propose a new measure to estimate the similarity between brands via posts of brands' followers on social network services (SNS). Our method was developed with the…
User-Aware Folk Popularity Rank: User-Popularity-Based Tag Recommendation That Can Enhance Social Popularity
Xueting Wang, Yiwei Zhang, Toshihiko Yamasaki
In this paper we propose a method that can enhance the social popularity of a post (i.e., the number of views or likes) by recommending appropriate hash tags considering both conte…