1 code implementation • 2 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.
no code implementations • 29 Dec 2023 • Lei Fan, Yang Zhao
Terrain surface roughness, often described abstractly, poses challenges in quantitative characterisation with various descriptors found in the literature.
no code implementations • 28 Nov 2023 • 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.
no code implementations • 23 Nov 2023 • 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.
1 code implementation • 20 Nov 2023 • Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang song
Cereal grain plays a crucial role in the human diet as a major source of essential nutrients.
2 code implementations • 20 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.
no code implementations • 19 Sep 2023 • Chenhao Tang, Zhengliang Liu, Chong Ma, Zihao Wu, Yiwei Li, Wei Liu, Dajiang Zhu, Quanzheng Li, Xiang Li, Tianming Liu, Lei Fan
In this study, we investigate a privacy policy text analysis framework PolicyGPT based on the LLM.
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.
no code implementations • 12 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.
no code implementations • 23 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.
no code implementations • 1 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.
no code implementations • 13 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.
no code implementations • 8 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.
no code implementations • 12 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.
no code implementations • 15 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.
1 code implementation • CVPR 2022 • Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang song
To the best of our knowledge, GrainSpace is the first publicly released dataset for cereal grain inspection.
no code implementations • 20 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.
no code implementations • 31 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.
no code implementations • 20 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.
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.
1 code implementation • 13 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.
no code implementations • 15 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.
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.
no code implementations • 17 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.
no code implementations • 30 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.