Search Results for author: Xiwen Chen

Found 17 papers, 3 papers with code

FLAME Diffuser: Grounded Wildfire Image Synthesis using Mask Guided Diffusion

no code implementations6 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.

Fire Detection Image Generation +2

Enhancing Digital Hologram Reconstruction Using Reverse-Attention Loss for Untrained Physics-Driven Deep Learning Models with Uncertain Distance

no code implementations11 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.

SSIM

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features

1 code implementation19 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.

Contrastive Learning Representation Learning +2

Energy Optimization for HVAC Systems in Multi-VAV Open Offices: A Deep Reinforcement Learning Approach

2 code implementations23 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.

energy management Total Energy

Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference

no code implementations4 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.

Knowledge Distillation Under Ideal Joint Classifier Assumption

no code implementations19 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.

Domain Adaptation Knowledge Distillation +3

RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples

no code implementations9 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.

Fast Key Points Detection and Matching for Tree-Structured Images

no code implementations7 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.

Graph Matching Key Point Matching

DH-GAN: A Physics-driven Untrained Generative Adversarial Network for 3D Microscopic Imaging using Digital Holography

no code implementations25 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.

Generative Adversarial Network

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review

no code implementations7 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.

Anomaly Detection Autonomous Vehicles +5

Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study

no code implementations27 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.

Autonomous Driving Edge-computing +1

MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data

no code implementations26 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.

Classification Few-Shot Relation Classification +2

Deep DIH : Statistically Inferred Reconstruction of Digital In-Line Holography by Deep Learning

1 code implementation25 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.

ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning

no code implementations24 Apr 2020 Xiwen Chen, Kenny Q. Zhu

Text style transfer aims to paraphrase a sentence in one style into another style while preserving content.

Meta-Learning Sentence +3

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