no code implementations • 21 Apr 2022 • Xinyu Ma, Xu Chu, Yasha Wang, Hailong Yu, Liantao Ma, Wen Tang, Junfeng Zhao
Thus, to address the issues, we expect to group up strongly correlated features and learn feature correlations in a group-wise manner to reduce the learning complexity without losing generality.
no code implementations • 13 Jul 2021 • Jiangbo Yuan, An-Ti Chiang, Wen Tang, Antonio Haro
This motivated creation of eProduct, a dataset consisting of 2. 5 million product images towards accelerating development in the areas of self-supervised learning, weakly-supervised learning, and multimodal learning, for fine-grained recognition.
no code implementations • 22 Jun 2021 • Michael Cohen, Wen Tang, Yanjing Wang
In this paper, we propose a lightweight yet powerful dynamic epistemic logic that captures not only the distinction between de dicto and de re knowledge but also the distinction between de dicto and de re updates.
no code implementations • 21 Apr 2021 • Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
Based on its great successes in inference and denosing tasks, Dictionary Learning (DL) and its related sparse optimization formulations have garnered a lot of research interest.
no code implementations • 17 Jul 2020 • Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang
Due to the characteristics of COVID-19, the epidemic develops rapidly and overwhelms health service systems worldwide.
no code implementations • 18 Feb 2020 • Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
On account of its many successes in inference tasks and denoising applications, Dictionary Learning (DL) and its related sparse optimization problems have garnered a lot of research interest.
1 code implementation • 24 Jan 2020 • Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
Compared to the best baseline model, StageNet achieves up to 12% higher AUPRC for risk prediction task on two real-world patient datasets.
1 code implementation • 27 Nov 2019 • Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma
It also models the correlation between clinical features to enhance the ones which strongly indicate the health status and thus can maintain a state-of-the-art performance in terms of prediction accuracy while providing qualitative interpretability.
1 code implementation • 27 Nov 2019 • Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao
Predicting the patient's clinical outcome from the historical electronic medical records (EMR) is a fundamental research problem in medical informatics.
no code implementations • 13 Jun 2019 • Wen Tang, Ashkan Panahi, Hamid Krim
Zero-shot learning (ZSL) which aims to recognize unseen object classes by only training on seen object classes, has increasingly been of great interest in Machine Learning, and has registered with some successes.
1 code implementation • 18 Mar 2019 • Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang
Furthermore, MUSEFood uses the microphone and the speaker to accurately measure the vertical distance from the camera to the food in a noisy environment, thus scaling the size of food in the image to its actual size.
no code implementations • 7 Mar 2019 • Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
Discriminative Dictionary Learning (DL) methods have been widely advocated for image classification problems.
1 code implementation • 13 Jul 2018 • Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
A consensus structured analysis dictionary and a global classifier are jointly learned in the distributed approach to safeguard the discriminative power and the efficiency of classification.
1 code implementation • 2 May 2018 • Wen Tang, Ashkan Panahi, Hamid Krim, Liyi Dai
We propose a computationally efficient and high-performance classification algorithm by incorporating class structural information in analysis dictionary learning.
no code implementations • 14 Mar 2018 • Long Chen, Wen Tang, Nigel John
Convolutional Neural Networks (CNNs) need large amounts of data with ground truth annotation, which is a challenging problem that has limited the development and fast deployment of CNNs for many computer vision tasks.
no code implementations • 14 Mar 2018 • Long Chen, Wen Tang, Nigel John, Tao Ruan Wan, Jian Jun Zhang
Mixed Reality (MR) is a powerful interactive technology that yields new types of user experience.
no code implementations • 3 Aug 2017 • Long Chen, Thomas Day, Wen Tang, Nigel W. John
Mixed Reality (MR) is of increasing interest within technology-driven modern medicine but is not yet used in everyday practice.
no code implementations • 3 Aug 2017 • Long Chen, Wen Tang, Nigel W. John
The potential of Augmented Reality (AR) technology to assist minimally invasive surgeries (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes.
no code implementations • 3 Aug 2017 • Long Chen, Karl Francis, Wen Tang
In Augmented Reality (AR) environment, realistic interactions between the virtual and real objects play a crucial role in user experience.
no code implementations • 1 Mar 2017 • Long Chen, Wen Tang, Nigel W. John, Tao Ruan Wan, Jian Jun Zhang
In vivo laparoscopic videos used in the tests have demonstrated the robustness and accuracy of our proposed framework on both camera tracking and surface reconstruction, illustrating the potential of our algorithm for depth augmentation and depth-corrected augmented reality in MIS with monocular endoscopes.
Simultaneous Localization and Mapping
Surface Reconstruction