Publications

The increasing tendency to collect large and uncurated datasets to train vision-and-language models has raised concerns about fair …

Human evaluation is critical for validating the performance of text-to-image generative models, as this highly cognitive process …

The duality of content and style is inherent to the nature of art. For humans, these two elements are clearly different: content refers …

Humor can be induced by various signals in the visual, linguistic, and vocal modalities emitted by humans. Finding humor in videos is …

Image captioning models are known to perpetuate and amplify harmful societal bias in the training set. In this work, we aim to mitigate …

Interpreting and explaining the behavior of deep neural networks is critical for many tasks. Explainable AI provides a way to address …

Recently, there has been an increased interest in cross-data research problems, such as predicting air quality using life logging …

Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility …

In this work, we propose an inverse rendering model that estimates 3D shape, spatially-varying reflectance, homogeneous subsurface …

Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject …

Deep learning is a rapidly-evolving technology with the possibility to significantly improve the physics reach of collider experiments. …

In this paper, we propose a cross-language font style transfer system that can synthesize a new font by observing only a few samples …

Video summarization aims to select a most informative subset of frames in a video to facilitate efficient video browsing. Unsupervised …

The morphological feature of retinal arterio-venous crossing patterns is a valuable source of cardiovascular risk stratification as it …

We propose a method for compressively acquiring a dynamic light field (a 5-D volume) through a single-shot coded image (a 2-D …

Public meeting articles are the key to understanding the history of public opinion and public sphere in Australia. Information …

Politics has always gotten much attention throughout history, and video advertisement has become one of the most essential tools for …

Student disengagement prediction in online learning environments is beneficial in various ways, especially to help provide timely cues …

Few-shot learning (FSL) approaches, mostly neural network-based, assume that pre-trained knowledge can be obtained from base (seen) …

We have witnessed the rise of cross-data against multimodal data problems recently. The cross-modal retrieval system uses a textual …

We propose a method for personalized emotional intensity estimation based on a writer’s personality test for Japanese SNS posts. …

Body language such as conversational gesture is a powerful way to ease communication. Conversational gestures do not only make a speech …

Explainable artificial intelligence has been gaining attention in the past few years. However, most existing methods are based on …

Deep hashing has been widely used to approximate nearest-neighbor search for image retrieval tasks. Most of them are trained with …

Have you ever looked at a painting and wondered what is the story behind it? This work presents a framework to bring art closer to …

Buddha statues are a part of human culture, especially of the Asia area, and they have been alongside human civilisation for more than …

With the goal of correctly answering questions about images or videos, visual question answering (VQA) has quickly developed in recent …

We annotate 17,000 SNS posts with both the writer’s subjective emotional intensity and the reader’s objective one to construct a …

Few-shot learning (FSL) approaches, mostly neural network-based, are assuming that the pre-trained knowledge can be obtained from base …

Semantic video segmentation is a key challenge for various applications. This paper presents a new model named Noisy-LSTM, which is …

Fake media has been spreading due to remarkable advances in media processing and machine leaning technologies, causing serious problems …

With the spread of high-performance sensors and social network services (SNS) and the remarkable advances in machine learning …

Visual grounding is a vision and language understanding task aiming at locating a region in an image according to a specific query …

Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The …

Objectives To compare diagnostic performance for pulmonary invasive adenocarcinoma among radiologists with and without …

Overexpression of human epidermal growth factor receptor 2 (HER2) is associated with more frequent cancer recurrence and metastasis. …

To understand movies, humans constantly reason over the dialogues and actions shown in specific scenes and relate them to the overall …

We investigate the problem of compressive acquisition of a dynamic light field. A promising solution for compressive light field …

We propose a novel video understanding task by fusing knowledge-based and video question answering. First, we introduce KnowIT VQA, a …

© Copyright © 2020 Kimura, Takemura, Nakashima, Kobori, Nagahara, Numao and Shinohara. Climate change is one of the most important …

We present a system for reenacting a person’s face driven by speech. Given a video sequence with the corresponding audio track of …

Retinal imaging serves as a valuable tool for diagnosis of various diseases. However, reading retinal images is a difficult and …

© 2019, The Author(s). In automatic art analysis, models that besides the visual elements of an artwork represent the relationships …

Visual question answering (VQA) aims at answering questions about the visual content of an image or a video. Currently, most work on …

This paper presents a method for reconstructing 3D image from multi-focus microscopic images captured with different focuses. We model …

Reflectance and shape are two important components in visually perceiving the real world. Inferring the reflectance and shape of an …

Currently, distributed word representations are employed in many natural language processing tasks. However, when generating one …

Reconstructing the entire body of moving human in a computer is important for various applications, such as tele-presence, virtual …

Detection followed by projection in conventional privacy cameras is vulnerable to software attacks that threaten to expose image sensor …

Fall is one of the leading causes of injury for the elderly individuals. Systems that automatically detect falls can significantly …

In this work, we address knowledge-based visual question answering in videos. First, we introduce KnowIT VQA, a video dataset with …

Paraphrase generation can be regarded as monolingual translation. Unlike bilingual machine translation, paraphrase generation rewrites …

© 2019 Copyright held by the owner/author(s). While Buddhism has spread along the Silk Roads, many pieces of art have been displaced. …

Several recent studies on compressive video sensing realized scene capture beyond the fundamental trade-off limit between spatial …

Deep convolutional neural networks (CNNs) have established their feet in the ground of computer vision and machine learning, used in …

© 2019 The Authors Background: Biomedical imaging devices that utilize the optical characteristics of hemoglobin (Hb) have become …

We propose a method to control the level of a sentence in a text simplification task. Text simplification is a monolingual translation …

© 2019, Springer Nature Switzerland AG. Barcodes and 2D codes are widely used for various purposes, such as electronic payments and …

We propose a learning-based framework for acquiring a light field through a coded aperture camera. Acquiring a light field is a …

© 2018 The Author(s) Alleles of human leukocyte antigen (HLA)-A DNAs are classified and expressed graphically by using artificial …

© 2018 Optical Society of America. Label-free visualization of nerves and nervous plexuses will improve the preservation of …

A thermal camera captures the temperature distribution of a scene as a thermal image. In thermal images, facial appearances of …

Augmented reality (AR) marker hiding is a technique to visually remove AR markers in a real-time video stream. A conventional approach …

The proliferation of off-the-shelf head-mounted displays (HMDs) let end-users enjoy virtual reality applications, some of which render …

© 2017 MVA Organization All Rights Reserved. This paper presents an incremental structural modeling approach that improves the …

Standard video does not capture the 3D aspect of human motion, which is important for comprehension of motion that may be ambiguous. In …