Search Results for author: Lei Fan

Found 30 papers, 6 papers with code

ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection

no code implementations1 Jul 2024 Yun Liang, Zhiguang Hu, JunJie Huang, Donglin Di, Anyang Su, Lei Fan

Current unsupervised anomaly detection approaches perform well on public datasets but struggle with specific anomaly types due to the domain gap between pre-trained feature extractors and target-specific domains.

Contrastive Learning Self-Supervised Learning +1

Seg-LSTM: Performance of xLSTM for Semantic Segmentation of Remotely Sensed Images

1 code implementation20 Jun 2024 Qinfeng Zhu, Yuanzhi Cai, Lei Fan

Recent advancements in autoregressive networks with linear complexity have driven significant research progress, demonstrating exceptional performance in large language models.

Decoder Image Classification +2

Machine Learning Methods for Pricing Financial Derivatives

no code implementations1 Jun 2024 Lei Fan, Justin Sirignano

For European options, we develop a fast stochastic gradient descent (SGD) algorithm for training the neural network-SDE model.

Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three Gorges Reservoir Area

no code implementations20 May 2024 Cheng Chen, Lei Fan

Using a comprehensive set of 19 contributing factors improved prediction accuracy but introduced complexities and inconsistency in model interpretations.

Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study

no code implementations14 May 2024 Qinfeng Zhu, Yuan Fang, Yuanzhi Cai, Cheng Chen, Lei Fan

In this research, we conduct a comprehensive experimental investigation on the impact of mainstream scanning directions and their combinations on semantic segmentation of remotely sensed images.

Segmentation Segmentation Of Remote Sensing Imagery +1

Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model

1 code implementation2 Apr 2024 Qinfeng Zhu, Yuanzhi Cai, Yuan Fang, Yihan Yang, Cheng Chen, Lei Fan, Anh Nguyen

The results reveal that Samba achieved unparalleled performance on commonly used remote sensing datasets for semantic segmentation.

Decoder Segmentation +1

Comparing roughness maps generated by five roughness descriptors for LiDAR-derived digital elevation models

no code implementations29 Dec 2023 Lei Fan, Yang Zhao

Terrain surface roughness, often described abstractly, poses challenges in quantitative characterisation with various descriptors found in the literature.

Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations

no code implementations CVPR 2024 Lei Fan, Jianxiong Zhou, Xiaoying Xing, Ying Wu

Active recognition, which allows intelligent agents to explore observations for better recognition performance, serves as a prerequisite for various embodied AI tasks, such as grasping, navigation and room arrangements.

Navigate

Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception

no code implementations CVPR 2024 Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu

Active recognition enables robots to intelligently explore novel observations, thereby acquiring more information while circumventing undesired viewing conditions.

Uncertainty Quantification

An annotated grain kernel image database for visual quality inspection

2 code implementations20 Nov 2023 Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang song

We present a machine vision-based database named GrainSet for the purpose of visual quality inspection of grain kernels.

Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance

no code implementations ICCV 2023 Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua

First, prediction uncertainty should be separately quantified as confusion depicting inter-class uncertainties and ignorance identifying out-of-distribution samples.

Decision Making

Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models

no code implementations12 Sep 2023 Cheng Chen, Lei Fan

In this study, the impact of the selection of contributing factors on the accuracy of landslide susceptibility predictions using ML and DL models was investigated.

Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey

no code implementations23 Aug 2023 Qinfeng Zhu, Lei Fan, Ningxin Weng

Deep learning (DL) has become one of the mainstream and effective methods for point cloud analysis tasks such as detection, segmentation and classification.

3D Classification 3D Object Detection +4

SDRCNN: A single-scale dense residual connected convolutional neural network for pansharpening

no code implementations1 Jul 2023 Yuan Fang, Yuanzhi Cai, Lei Fan

Pansharpening is a process of fusing a high spatial resolution panchromatic image and a low spatial resolution multispectral image to create a high-resolution multispectral image.

Pansharpening

Deep Learning-based Prediction of Electrical Arrhythmia Circuits from Cardiac Motion: An In-Silico Study

no code implementations13 May 2023 Jan Lebert, Daniel Deng, Lei Fan, Lik Chuan Lee, Jan Christoph

We performed thousands of simulations of electromechanical activation dynamics in ventricular geometries and used the data to train a neural network which subsequently predicts the three-dimensional electrical wave pattern that caused the deformation.

OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images

no code implementations8 May 2023 Yuanzhi Cai, Jagannath Aryal, Yuan Fang, Hong Huang, Lei Fan

In this study, the concept of pruning from a supernet is used for the first time to integrate the selection of channel combination and the training of a semantic segmentation network.

Segmentation Semantic Segmentation

Deformation measurement of a soil mixing retaining wall using terrestrial laser scanning

no code implementations12 Jan 2023 Yang Zhao, Lei Fan, Hyungjoon Seo

Retaining walls are often built to prevent excessive lateral movements of the ground surrounding an excavation site.

SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image

no code implementations15 Dec 2022 Yuanzhi Cai, Lei Fan, Yuan Fang

However, it was found in this study that different classes of objects had their preferred resizing scale for more accurate semantic segmentation.

Data Augmentation Segmentation +1

Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach

no code implementations20 Feb 2022 Lige Ding, Dong Zhao, Zhaofeng Wang, Guang Wang, Chang Tan, Lei Fan, Huadong Ma

The ever-increasing heavy traffic congestion potentially impedes the accessibility of emergency vehicles (EVs), resulting in detrimental impacts on critical services and even safety of people's lives.

Graph Attention Scheduling

Practical Adoption of Cloud Computing in Power Systems- Drivers, Challenges, Guidance, and Real-world Use Cases

no code implementations31 Jul 2021 Song Zhang, Amritanshu Pandey, Xiaochuan Luo, Maggy Powell, Ranjan Banerji, Lei Fan, Abhineet Parchure, Edgardo Luzcando

Motivated by The Federal Energy Regulatory Commission's (FERC) recent direction and ever-growing interest in cloud adoption by power utilities, a Task Force was established to assist power system practitioners with secure, reliable and cost-effective adoption of cloud technology to meet various business needs.

Cloud Computing

Minimizing Delay in Network Function Visualization with Quantum Computing

no code implementations20 Jun 2021 Wenlu Xuan, Zhongqi Zhao, Lei Fan, Zhu Han

There are vast service chains in NFV to meet users' requests, which are composed of a sequence of network functions.

Scheduling

FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition

no code implementations ICCV 2021 Lei Fan, Peixi Xiong, Wei Wei, Ying Wu

To address this demand, in this paper, we propose a unified framework towards Few-sample Lifelong Active Recognition (FLAR), which aims at performing active recognition on progressively arising novel categories that only have few training samples.

Knowledge Distillation Scene Recognition

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning

1 code implementation13 Nov 2020 Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen

In this paper, we develop a computation efficient yet accurate network based on the proposed attentive auxiliary features (A$^2$F) for SISR.

Image Super-Resolution

Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device

no code implementations15 Apr 2020 Zheng Jiang, Menghan Hu, Lei Fan, Yaling Pan, Wei Tang, Guangtao Zhai, Yong Lu

In this work, we perform the health screening through the combination of the RGB and thermal videos obtained from the dual-mode camera and deep learning architecture. We first accomplish a respiratory data capture technique for people wearing masks by using face recognition.

Face Recognition

Accurate Frequency Estimator of Sinusoid Based on Interpolation of FFT and DTFT

no code implementations journal 2020 Lei Fan, GUOQING QI2, Jun Xing, JIYU JIN, Jinyu Liu, AND ZHISEN WANG

The correlation coef cients between the Fourier Transform of the noises on two arbitrarily spaced spectrum lines are derived, and the MSE calculation formula is derived in additive white noise background based on the correlation coef cients.

Monocular Outdoor Semantic Mapping with a Multi-task Network

no code implementations17 Jan 2019 Yucai Bai, Lei Fan, Ziyu Pan, Long Chen

First, with the correlation of underlying information between depth and semantic prediction, a novel multi-task Convolutional Neural Network (CNN) is designed for joint prediction.

3D Reconstruction Autonomous Driving +2

Planecell: Representing the 3D Space with Planes

no code implementations30 Mar 2017 Lei Fan, Ziyu Pan, Long Chen, Kai Huang

Reconstruction based on the stereo camera has received considerable attention recently, but two particular challenges still remain.

Image Segmentation Semantic Segmentation

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