1 code implementation • 6 May 2024 • Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
Deep neural networks, including transformers and convolutional neural networks, have significantly improved multivariate time series classification (MTSC).
no code implementations • 5 May 2024 • Xiwen Chen, Wenhui Zhu, Peijie Qiu, Abolfazl Razi
We theoretically demonstrate the convergence of the MA framework, which has a similar complexity with reconstruction under the known forward model parameters.
1 code implementation • 25 Apr 2024 • Hao Wang, Jiayou Qin, Xiwen Chen, Ashish Bastola, John Suchanek, Zihao Gong, Abolfazl Razi
Furthermore, in the experiments part, we show the qualitative analysis of motor focus estimation between the conventional dense optical flow-based method and the proposed method.
1 code implementation • 19 Mar 2024 • Hao Wang, Jiayou Qin, Ashish Bastola, Xiwen Chen, John Suchanek, Zihao Gong, Abolfazl Razi
This paper explores the potential of Large Language Models(LLMs) in zero-shot anomaly detection for safe visual navigation.
no code implementations • 6 Mar 2024 • Hao Wang, Sayed Pedram Haeri Boroujeni, Xiwen Chen, Ashish Bastola, Huayu Li, Abolfazl Razi
Thus, our proposed framework can generate a massive dataset of that images are high-quality and ground truth-paired, which well addresses the needs of the annotated datasets in specific tasks.
no code implementations • 11 Jan 2024 • Xiwen Chen, Hao Wang, Zhao Zhang, Zhenmin Li, Huayu Li, Tong Ye, Abolfazl Razi
Untrained Physics-based Deep Learning (DL) methods for digital holography have gained significant attention due to their benefits, such as not requiring an annotated training dataset, and providing interpretability since utilizing the governing laws of hologram formation.
no code implementations • 30 Nov 2023 • Zhao Zhang, Xiwen Chen, William Richardson, Bruce Z. Gao, Abolfazl Razi, Tong Ye
Quantitative assessment of cardiac capillarization typically involves double immunostaining of cardiomyocytes (CMs) and capillaries in myocardial slices.
1 code implementation • 19 Oct 2023 • Huayu Li, Ana S. Carreon-Rascon, Xiwen Chen, Geng Yuan, Ao Li
MTS-LOF leverages the strengths of contrastive learning and Masked Autoencoder (MAE) methods, offering a unique approach to representation learning for medical time series data.
2 code implementations • 23 Jun 2023 • Hao Wang, Xiwen Chen, Natan Vital, Edward. Duffy, Abolfazl Razi
It takes only a total of 40 minutes for 5 epochs (about 7. 75 minutes per epoch) to train a network with superior performance and covering diverse conditions for its low-complexity architecture; therefore, it easily adapts to changes in the building setups, weather conditions, occupancy rate, etc.
no code implementations • 4 Jun 2023 • Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi
A determinant-preserved sparse representation of selected samples is used to perform sample precoding in local sources to be processed by DPP.
2 code implementations • 2 Jun 2023 • Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xin Li, Natasha Lepore, Oana M. Dumitrascu, Yalin Wang
Over the past few decades, convolutional neural networks (CNNs) have been at the forefront of the detection and tracking of various retinal diseases (RD).
no code implementations • 19 Apr 2023 • Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li
Within this context, softmax regression representation learning serves as a widely embraced approach, leveraging a pre-established teacher network to guide the learning process of a diminutive student network.
no code implementations • 9 Apr 2023 • Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi
However, the number of selected samples is restricted to the rank of the kernel matrix implied by the dimensionality of data samples.
no code implementations • 7 Nov 2022 • Hao Wang, Xiwen Chen, Abolfazl Razi, Rahul Amin
The proposed algorithm is applicable to a variety of tree-structured image matching, but our focus is on dendrites, recently-developed visual identifiers.
no code implementations • 25 May 2022 • Xiwen Chen, Hao Wang, Abolfazl Razi, Michael Kozicki, Christopher Mann
Digital holography is a 3D imaging technique by emitting a laser beam with a plane wavefront to an object and measuring the intensity of the diffracted waveform, called holograms.
no code implementations • 7 Mar 2022 • Abolfazl Razi, Xiwen Chen, Huayu Li, Hao Wang, Brendan Russo, Yan Chen, Hongbin Yu
This paper explores Deep Learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasizing driving safety for both Autonomous Vehicles (AVs) and human-operated vehicles.
no code implementations • 27 Jan 2022 • Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head, Alonso Granados Baca
To bridge these two perspectives, we define a new set of network-level safety metrics (NSM) to assess the overall safety profile of traffic flow by processing imagery taken by RSU cameras.
no code implementations • 23 Dec 2020 • Huayu Li, Haiyu Wu, Xiwen Chen, Hanning Zhang, Abolfazl Razi
We equip the SPA blocks on a network designed for real image denoising.
no code implementations • 26 Apr 2020 • Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu, Libin Shen, Yinggong Zhao
In this framework, models not only strive to classify query instances, but also seek underlying knowledge about the support instances to obtain better instance representations.
1 code implementation • 25 Apr 2020 • Huayu Li, Xiwen Chen, Haiyu Wu, Zaoyi Chi, Christopher Mann, Abolfazl Razi
Recently, end-to-end deep learning-based methods have been utilized to reconstruct the object wavefront (as a surrogate for the 3D structure of the object) directly from a single-shot in-line digital hologram.
no code implementations • 24 Apr 2020 • Xiwen Chen, Kenny Q. Zhu
Text style transfer aims to paraphrase a sentence in one style into another style while preserving content.