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Texture image classification with discriminative neural networks
Springer Science and Business Media LLC - - 2016
Yang Song, Qing Li, Dagan Feng, Ju Jia Zou, Weidong Cai
Texture provides an important cue for many computer vision applications, and texture image classification has been an active research area over the past years. Recently, deep learning techniques using convolutional neural networks (CNN) have emerged as the state-of-the-art: CNN-based features provide a significant performance improvement over previous handcrafted features. In this study, we demons...... hiện toàn bộ
Imposing temporal consistency on deep monocular body shape and pose estimation
Springer Science and Business Media LLC - Tập 9 - Trang 123-139 - 2022
Alexandra Zimmer, Anna Hilsmann, Wieland Morgenstern, Peter Eisert
Accurate and temporally consistent modeling of human bodies is essential for a wide range of applications, including character animation, understanding human social behavior, and AR/VR interfaces. Capturing human motion accurately from a monocular image sequence remains challenging; modeling quality is strongly influenced by temporal consistency of the captured body motion. Our work presents an el...... hiện toàn bộ
Message from the Best Paper Award Committee
Springer Science and Business Media LLC - Tập 8 - Trang 329-329 - 2022
Ming C. Lin, Xin Tong, Wenping Wang
Automated brain tumor segmentation on multi-modal MR image using SegNet
Springer Science and Business Media LLC - Tập 5 - Trang 209-219 - 2019
Salma Alqazzaz, Xianfang Sun, Xin Yang, Len Nokes
The potential of improving disease detection and treatment planning comes with accurate and fully automatic algorithms for brain tumor segmentation. Glioma, a type of brain tumor, can appear at different locations with different shapes and sizes. Manual segmentation of brain tumor regions is not only time-consuming but also prone to human error, and its performance depends on pathologists’ experie...... hiện toàn bộ
Machine learning for digital try-on: Challenges and progress
Springer Science and Business Media LLC - Tập 7 - Trang 159-167 - 2020
Junbang Liang, Ming C. Lin
Digital try-on systems for e-commerce have the potential to change people’s lives and provide notable economic benefits. However, their development is limited by practical constraints, such as accurate sizing of the body and realism of demonstrations. We enumerate three open challenges remaining for a complete and easy-to-use try-on system that recent advances in machine learning make increasingly...... hiện toàn bộ
APF-GAN: Exploring asymmetric pre-training and fine-tuning strategy for conditional generative adversarial network
Springer Science and Business Media LLC - Tập 10 - Trang 187-192 - 2023
Yuxuan Li, Lingfeng Yang, Xiang Li
A three-stage real-time detector for traffic signs in large panoramas
Springer Science and Business Media LLC - Tập 5 - Trang 403-416 - 2019
Yizhi Song, Ruochen Fan, Sharon Huang, Zhe Zhu, Ruofeng Tong
Traffic sign detection is one of the key components in autonomous driving. Advanced autonomous vehicles armed with high quality sensors capture high definition images for further analysis. Detecting traffic signs, moving vehicles, and lanes is important for localization and decision making. Traffic signs, especially those that are far from the camera, are small, and so are challenging to tradition...... hiện toàn bộ
DualSmoke: Sketch-based smoke illustration design with two-stage generative model
Springer Science and Business Media LLC - - Trang 1-15
Xie, Haoran, Arihara, Keisuke, Sato, Syuhei, Miyata, Kazunori
The dynamic effects of smoke are impressive in illustration design, but it is a troublesome and challenging issue for inexpert users to design smoke effects without domain knowledge of fluid simulations. In this work, we propose DualSmoke, a two-stage global-to-local generation framework for interactive smoke illustration design. In the global stage, the proposed approach utilizes fluid patterns t...... hiện toàn bộ
Component SPD matrices: A low-dimensional discriminative data descriptor for image set classification
Springer Science and Business Media LLC - Tập 4 Số 3 - Trang 245-252 - 2018
Kaixuan Chen, Xiao-Jun Wu
Abstract In pattern recognition, the task of image set classification has often been performed by representing data using symmetric positive definite (SPD) matrices, in conjunction with the metric of the resulting Riemannian manifold. In this paper, we propose a new data representation framework for image sets which we call component symmetri...... hiện toàn bộ
Accurate disparity estimation in light field using ground control points
Springer Science and Business Media LLC - Tập 2 - Trang 173-181 - 2016
Hao Zhu, Qing Wang
The recent development of light field cameras has received growing interest, as their rich angular information has potential benefits for many computer vision tasks. In this paper, we introduce a novel method to obtain a dense disparity map by use of ground control points (GCPs) in the light field. Previous work optimizes the disparity map by local estimation which includes both reliable points an...... hiện toàn bộ
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