no code implementations • 13 Dec 2015 • Shenggang Ying, Mingsheng Ying, Yuan Feng
Data mining is a key technology in big data analytics and it can discover understandable knowledge (patterns) hidden in large data sets.
no code implementations • 31 Jul 2017 • Shenggang Ying, Mingsheng Ying, Yuan Feng
Secondly when updating the current classifier, private random noise is used to protect the original data.
no code implementations • 16 Jul 2019 • Guangxi Li, Youle Wang, Yu Luo, Yuan Feng
We propose a quantum data fitting algorithm for non-sparse matrices, which is based on the Quantum Singular Value Estimation (QSVE) subroutine and a novel efficient method for recovering the signs of eigenvalues.
1 code implementation • 23 Aug 2019 • Xiangzhen Zhou, Sanjiang Li, Yuan Feng
Our algorithm runs in time polynomial in all parameters including the size and the qubit number of the input circuit, and the qubit number in the QPU.
Quantum Physics
no code implementations • 17 Nov 2019 • Ruoyu Guo, Cheng Cui, Yuning Du, Xianglong Meng, Xiaodi Wang, Jingwei Liu, Jianfeng Zhu, Yuan Feng, Shumin Han
We present an object detection framework based on PaddlePaddle.
2 code implementations • 15 Apr 2020 • Sanjiang Li, Xiangzhen Zhou, Yuan Feng
Mapping logical quantum circuits to Noisy Intermediate-Scale Quantum (NISQ) devices is a challenging problem which has attracted rapidly increasing interests from both quantum and classical computing communities.
Quantum Physics
no code implementations • 6 Sep 2020 • Xin Hong, Xiangzhen Zhou, Sanjiang Li, Yuan Feng, Mingsheng Ying
Tensor networks have been successfully applied in simulation of quantum physical systems for decades.
Quantum Physics Data Structures and Algorithms
1 code implementation • 16 Sep 2020 • Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.
no code implementations • 16 Dec 2020 • Yuan Feng, Hexiang Wang, Han Yang, Fangbo Wang
Although the basic neural network provides an alternative approach for structural dynamics analysis, the lack of physics law inside the neural network limits the model accuracy and fidelity.
1 code implementation • 28 Apr 2021 • Ying Xin, Guanzhong Wang, Mingyuan Mao, Yuan Feng, Qingqing Dang, Yanjun Ma, Errui Ding, Shumin Han
Therefore, a trade-off between effectiveness and efficiency is necessary in practical scenarios.
Ranked #1 on Object Detection on COCO test-dev (Hardware Burden metric)
no code implementations • 7 May 2021 • Mingyuan Mao, Baochang Zhang, David Doermann, Jie Guo, Shumin Han, Yuan Feng, Xiaodi Wang, Errui Ding
This leads to a new problem of confidence discrepancy for the detector ensembles.
no code implementations • 28 Mar 2022 • Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng
Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR, to reconstruct interventional images with golden-angle radial sampling.
no code implementations • 14 Jun 2022 • Yuan Feng, Yaojun Hu, Pengfei Fang, Yanhong Yang, Sheng Liu, ShengYong Chen
However, jointly removing the rain and haze in scene images is ill-posed and challenging, where the existence of haze and rain and the change of atmosphere light, can both degrade the scene information.
no code implementations • 19 Jul 2022 • Mujahid Al Rafi, Yuan Feng, Hyeran Jeon
In this paper, we show a new observation that pre-trained models and fine-tuned models have significantly high similarities in weight values.
no code implementations • 6 Jan 2023 • Shengyuan Ma, Runke Wang, Suhao Qiu, Ruokun Li, Qi Yue, Qingfang Sun, Liang Chen, Fuhua Yan, Guang-Zhong Yang, Yuan Feng
Here we propose a pipeline for processing MRE images using optimization-based displacement extraction and Traveling Wave Expansion-based Neural Network (TWENN) modulus estimation.
no code implementations • 23 Jan 2023 • Yuan Feng, Hyeran Jeon, Filip Blagojevic, Cyril Guyot, Qing Li, Dong Li
Transformer models gain popularity because of their superior inference accuracy and inference throughput.
no code implementations • 1 Mar 2023 • Likang Liu, Keke Sun, Chunlai Zhou, Yuan Feng
Within the framework established in this paper, constrained DP algorithms in the literature can be classified either as belief revision or belief update.
1 code implementation • CVPR 2023 • Yong Yang, Qiong Chen, Yuan Feng, Tianlin Huang
Existing few-shot segmentation methods are based on the meta-learning strategy and extract instance knowledge from a support set and then apply the knowledge to segment target objects in a query set.
Ranked #11 on Few-Shot Semantic Segmentation on COCO-20i (1-shot)
no code implementations • 23 Nov 2023 • Benjamin Kiefer, Lojze Žust, Matej Kristan, Janez Perš, Matija Teršek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Angel Bueno Rodriguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanić, Magdalena Šumunec, Nadir Kapetanović, Andreas Michel, Wolfgang Gross, Martin Weinmann
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV).
Ranked #1 on Semantic Segmentation on LaRS
no code implementations • 5 Mar 2024 • Yaqian Qi, Yuan Feng, Xiangxiang Wang, Hanzhe Li, Jingxiao Tian
To enable large-scale and efficient deployment of artificial intelligence (AI), the combination of AI and edge computing has spawned Edge Intelligence, which leverages the computing and communication capabilities of end devices and edge servers to process data closer to where it is generated.
no code implementations • 26 Mar 2024 • Hanzhe Li, Xiangxiang Wang, Yuan Feng, Yaqian Qi, Jingxiao Tian
This article explores how to drive intelligent iot monitoring and control through cloud computing and machine learning.