1,720,982 research outputs found
Self-Supervised Dense Consistency Regularization for Image-to-Image Translation
No full textUnsupervised image-to-image translation has gained considerable attention due to recent impressive advances in generative adversarial networks (GANs). This paper presents a simple but effective regularization technique for improving GAN-based image-to-image translation. To generate images with realistic local semantics and structures, we propose an auxiliary self-supervision loss that enforces point-wise consistency of the overlapping region between a pair of patches cropped from a single real image during training the discriminator of a GAN. Our experiment shows that the proposed dense consistency regularization improves performance substantially on various image-to-image translation scenarios. It also leads to extra performance gains through the combination with instance-level regularization methods. Furthermore, we verify that the proposed model captures domain-specific characteristics more effectively with only a small fraction of training data
Real-time 3D Human Pose Recognition from Reconstructed Volume via Voxel Classifiers
No full textThis paper presents a human pose recognition method which simultaneously reconstructs a human volume based on
ensemble of voxel classifiers from a single depth image in real-time. The human pose recognition is a difficult task since
a single depth camera can capture only visible surfaces of a human body. In order to recognize invisible (self-occluded)
surfaces of a human body, the proposed algorithm employs voxel classifiers trained with multi-layered synthetic voxels.
Specifically, ray-casting onto a volumetric human model generates a synthetic voxel, where voxel consists of a 3D
position and ID corresponding to the body part. The synthesized volumetric data which contain both visible and invisible
body voxels are utilized to train the voxel classifiers. As a result, the voxel classifiers not only identify the visible voxels
but also reconstruct the 3D positions and the IDs of the invisible voxels. The experimental results show improved
performance on estimating the human poses due to the capability of inferring the invisible human body voxels. It is
expected that the proposed algorithm can be applied to many fields such as telepresence, gaming, virtual fitting, wellness
business, and real 3D contents control on real 3D displays
RoVatar
No full textIn this paper, we present a real-time prototype of a robot boxing game based on a novel interaction method which provides a simpler control for a miniature humanoid. Specifically, an upper body of the robot mimics a user's upper body motion, while a lower body of the robot moves autonomously towards a target object (an opponent robot). To the best of our knowledge this is the first robot boxing game which provides semi-autonomous control based on natural human motions. Questionnaire interview shows the users feel immersive gaming experience and companionship with the robot in the living room
Quality-Agnostic Image Recognition via Invertible Decoder
No full textDespite the remarkable performance of deep models on image recognition tasks, they are known to be susceptible to common corruptions such as blur, noise, and low-resolution. Data augmentation is a conventional way to build a robust model by considering these common corruptions during the training. However, a naive data augmentation scheme may result in a non-specialized model for particular corruptions, as the model tends to learn the averaged distribution among corruptions. To mitigate the issue, we propose a new paradigm of training deep image recognition networks that produce clean-like features from any quality image via an invertible neural architecture. The proposed method consists of two stages. In the first stage, we train an invertible network with only clean images under the recognition objective. In the second stage, its inversion, i.e., the invertible decoder, is attached to a new recognition network and we train this encoder-decoder network using both clean and corrupted images by considering recognition and reconstruction objectives. Our two-stage scheme allows the network to produce clean-like and robust features from any quality images, by reconstructing their clean images via the invertible decoder. We demonstrate the effectiveness of our method on image classification and face recognition tasks
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Change of Psychological Status of Deaf Patients after Cochlear Implantation
Full text link학위논문 (석사)-- 서울대학교 대학원 : 의학과, 2014. 8. 오승하.서론: 인공와우 수술을 받은 환자는 수술 전후에 다양한 정신의학적 문제를 가지고 있는 것으로 알려져 있다. 이러한 환자의 심리적 이상은 환자의 삶의 질에 영향을 미칠 뿐만 아니라 수술 후 지속적인 언어재활과 치료과정에 악영향을 미칠 가능성이 있다. 따라서 환자의 정신의학적 상태에 대한 정확한 평가와 이에 대한 적절한 중재는 환자의 안녕뿐만 아니라 수술의 예후 향상을 위해서 중요하다. 본 연구는 환자의 정신의학적 상태를 수술 전후 시행한 다면적 인성검사(MMPI)로 분석하고, 예후와의 관계를 규명하는 데 그 목적이 있다.
방법: 2005년부터 2013년까지 서울대병원에서 인공와우 수술을 받은 환자 총 29명을 대상으로 수술 후 다면적 인성검사를 시행하여 전향적 임상연구를 시행하였다. 수술 전 검사로 시행한 다면적 인성검사와 함께 수술 후 시행한 검사결과를 함께 분석하고, 수술 전후 시행한 언어평가의 결과 중 KCID(Korea-Central Institute for deaf), open set, audio only (%) score를 이용하여 수술 후 예후를 분석하였다.
결과: 인공와우 수술을 받은 전농의 환자의 40~50%는 다면적 인성검사에서 이상소견을 보였다. 이상소견이 있는 환자 군은 정상 환자 군에 비해 낮은 KCID score를 보였다. 이는 수술 전(p=0.019)과 수술 후(p=0.010)에 동일하게 유의미한 차이를 보였다. 수술 전후의 MMPI 척도의 변화를 분석 시, 6번 편집증 척도가 유의미하게 감소하였다 (p=0.020). 수술 전후 변화를 성별로 비교하였을 때, 3번 히스테리 척도가 여성에서 남성에 비해 유의미하게 증가하였다 (p=0.008). 수술 전 MMPI의 각 척도가 수술의 예후인 KCID score에 영향을 주는지에 대한 분석 시, 수술 전 8번 정신분열증 척도가 유의미하게 수술 후 KCID score에 영향을 미치는 것으로 나타났다 (p=0.007). 수술의 결과가 환자의 심리상태에 영향을 미치는 지에 대한 분석 시, 수술 후 MMPI 6번(편집증), 7번(강박증), 8번(정신분열증), 9번(경조증), 0번(내향성) 척도가 수술의 결과에 영향을 받는 것으로 나타났다 (p<0.05).
결론: 다양한 정신의학적 성향 중 일부는 수술 후 예후에 부분적으로 영향을 미칠 가능성이 있다. 또한 수술의 결과는 환자의 정신의학적 상태나 성향에 영향을 미치는 것으로 보인다. 따라서 수술 전후 환자의 정신의학적 상태와 성향에 대한 평가가 필요하며, 문제가 있을 시에는 적극적으로 개입하거나, 언어재활을 독려함으로써 수술의 결과를 향상시킬 수 있을 것으로 기대한다.Introduction: The cochlear implant (CI) patients often suffer from various psychological troubles at pre- and post-operation. These problems could make negative effects on quality of life of patients, rehabilitation and treatment after surgery. So the evaluation for psychological state of patients and intervening is very important for both patients well-being and good prognosis of CI. The purpose of this study is to analysis of pre- and post-psychological status with Minnesota Multiphasic Personality Inventory (MMPI) and to elucidate the relationship with prognosis of CI.
Methods: From 2005 to 2013, 29 patients who got the cochlear implant were enrolled. A prospective study was done with postoperative MMPI. The outcome of CI was measured with Korea-Central Institute for deaf (KCID), open set, audio only (%) score. Psychological analysis for pre- and post-operative MMPI and statistical analysis about the causality between outcome of CI and MMPI result were performed.
Results: About 40~50% of the CI patients showed abnormal findings in MMPI scales before and after surgery. And the group who had at least one abnormal score among MMPI scales showed lower KCID score than normal group at pre-operation (p=0.019) as well as post-operation (p=0.010). The scale 6(Paranoia) score after surgery decreased significantly (p=0.020). And scale 3(Hysteria) score after surgery increased especially in women, not in male (p=0.008). In analysis between KCID and MMPI scales, preoperative MMPI scale 8(Schizophrenia) had an effect on KCID (p=0.007). And postoperative KCID score influenced on postoperative MMPI scale 6, 7, 8, 9, 0 score (p<0.05).
Conclusions: The patients who had profound hearing loss and got the CI were suffering from various psychological problems. So evaluation and intervening for these problems is necessary. Some psychological aspects could influence on outcome of CI. And the bad outcome of surgery could aggravate the mental health of patients. As the result, vicious cycle could take place between outcome of CI and psychological status of patients. For the better CI outcome, therefore, it is important and necessary to encourage the rehabilitation after CI and intervene for psychological problem.초록 i
목차 iii
LIST OF TABLES iv
LIST OF FIGURES v
1. 서론 1
2. 연구 대상 및 방법
2-1. 연구 대상 4
2-2. 연구 방법 7
3. 결과
3-1. 수술 전후 MMPI 양상과 변화 10
3-2. 성별 간 비교 13
3-3. KCID vs 알려진 예후 인자 17
3-4. KCID vs 다면적 인성검사 18
4. 고찰
4-1. 연구 결과 고찰 24
4-2. 연구의 제한점 30
5. 참고문헌 32
초록 (영문) 34Maste
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
