Publications

Contrastive image representation learning through instance discrimination has shown impressive transfer performance. Recent strategies …

Large-scale models trained on extensive datasets, have emerged as the preferred approach due to their high generalizability across …

We propose a method for compressively acquiring a light field video using a single camera equipped with an optical aperture-exposure …

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 …

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 paper, we present a prototype pseudo-direct time-of-flight (ToF) CMOS image sensor, achieving high distance accuracy, …

A camera captures multidimensional information of the real world by convolving it into two dimensions using a sensing matrix. The …

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

The recent advances in NLP, have led to a new trend of applying LLMs to real-world scenarios. While the latest LLMs are astonishingly …

This work aims to develop a deep learning model, assessing atlantoaxial subluxation (AAS) in rheumatoid arthritis (RA), which can often …

Vision-and-language tasks have increasingly drawn more attention as a means to evaluate human-like reasoning in machine learning …

Evaluation measures have a crucial impact on the direction of research. Therefore, it is of utmost importance to develop appropriate …

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

Conventional 3D convolutional neural networks (CNNs) are computationally expensive, memory intensive, prone to overfitting, and most …

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

Visually grounded paraphrases (VGPs) are different phrasal expressions describing the same visual concept in an image. Previous studies …

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 …

We propose a new 2D pose refinement network that learns to predict the human bias in the estimated 2D pose. There are biases in 2D pose …

In the e-learning context, how much the learner is concentrated and engaged, or the learners' efficiency, is essential for providing …

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

Humor is a very important communication tool; yet, it is an open problem for machines to understand humor. In this paper, we build a …

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

A light field can carry rich visual information of a real 3-D scene, leading to many attractive applications. However, the acquisition …

We introduce the IDSOU submission for the WNUT-2020 task 2: identification of informative COVID-19 English Tweets. Our system is an …

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

Monitoring cell-state transition in pluripotent cells is invaluable for application and basic research. In this study, we demonstrate …

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

Visually grounded paraphrases (VGPs) describe the same visual concept but in different wording. Previous studies have developed models …

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

Generating models to handle new visual tasks requires additional datasets, which take considerable effort to create. We propose a …

Computational art analysis has, through its reliance on classification tasks, prioritised historical datasets in which the artworks are …

In this paper, we propose a method for constructing a large corpus about a century of public meetings in historical Australian …

textlessptextgreaterIt is known that single or isolated tumor cells enter cancer patients' circulatory systems. These circulating tumor …

Drowsiness is a major factor that hinders learning. To improve learning efficiency, it is important to understand students' physical …

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

Retinal vessel segmentation is of great interest for diagnosis of retinal vascular diseases. To further improve the performance of …

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

Cameras are prevalent in society at the present time, for example, surveillance cameras, and smartphones equipped with cameras and …

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

Topic modeling is a key component to computational legal science. Network analysis is also very important to further understand the …

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

This study describes a segment-level metric for automatic machine translation evaluation (MTE). Although various MTE metrics have been …

We propose an efficient pipeline from input to output for a tensor light-field display. Conventionally, a dense light field (i.e., tens …

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 …

Video summarization is a technique to create a short skim of the original video while preserving the main stories/content. There exists …

© 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 …

© 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 Copyright held by the owner/author(s). We introduce BUDA.ART, a system designed to assist researchers in Art History, to explore …

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

Finding important regions is essential for applications, such as content-aware video compression and video retargeting to automatically …

Image completion is a technique to fill missing regions in a damaged or redacted image. A patch-based approach is one of major …

Sentence representations can capture a wide range of information that cannot be captured by local features based on character or word …

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 …

We propose a framework for adaptively registering background models with an image for background subtraction with moving cameras. …

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 …

© 2017 The Author(s) In the field of regenerative medicine, tremendous numbers of cells are necessary for tissue/organ regeneration. …

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