no code implementations • 19 Feb 2024 • Yuhang Hao, Zengfu Wang, Jing Fu, Quan Pan
Each bandit process is associated with a smart target, of which the estimation state evolves according to different discrete dynamic models for different actions - whether or not the target is being tracked.
no code implementations • 15 Dec 2023 • Hua Lan, Shijie Zhao, Jinjie Hu, Zengfu Wang, Jing Fu
In this article, the state estimation problems with unknown process noise and measurement noise covariances for both linear and nonlinear systems are considered.
no code implementations • 13 Dec 2023 • Yuhang Hao, Zengfu Wang, José Niño-Mora, Jing Fu, Min Yang, Quan Pan
We present numerical evidence that the model satisfies sufficient conditions for indexability (existence of the Whittle index) based upon partial conservation laws, and, through extensive simulations, we validate the effectiveness of the proposed policy in different scenarios.
no code implementations • 19 Oct 2023 • Xianglong Bai, Zengfu Wang, Quan Pan, Tao Yun, Hua Lan
We first introduce a novel neural enhanced message passing approach, where the beliefs obtained by the unified message passing are fed into the neural network as additional information.
no code implementations • 4 Aug 2023 • Yin Lin, Cong Liu, Yehansen Chen, Jinshui Hu, Bing Yin, BaoCai Yin, Zengfu Wang
Recently, visual-language learning has shown great potential in enhancing visual-based person re-identification (ReID).
no code implementations • 16 Jun 2023 • Yuhang Hao, Zengfu Wang, Jing Fu, Xianglong Bai, Can Li, Quan Pan
We track moving targets with a distributed multiple-input multiple-output (MIMO) radar, for which the transmitters and receivers are appropriately paired and selected with a limited number of radar stations.
no code implementations • 6 May 2023 • Xiaoxuan Zhang, Zengfu Wang, Kun Lu, Quan Pan, Yang Li
The semi-supervised classification performance of WL-SSGAN is evaluated on a sea-land clutter dataset.
no code implementations • 6 May 2023 • Hua Lan, Jinjie Hu, Zengfu Wang, Qiang Cheng
Motivated by the maneuvering target tracking with sensors such as radar and sonar, this paper considers the joint and recursive estimation of the dynamic state and the time-varying process noise covariance in nonlinear state space models.
no code implementations • 3 Jan 2023 • Xiaoxuan Zhang, Zengfu Wang, Kun Lu, Quan Pan
Using a dataset of OTHR sea-land clutter, both the quality of the synthetic samples and the performance of data augmentation of AC-VAEGAN are verified.
no code implementations • 14 Dec 2022 • Xianglong Bai, Hua Lan, Zengfu Wang, Quan Pan, Yuhang Hao, Can Li
Then, a unified MP algorithm is used to infer the marginal posterior probability distributions of targets, clutter, and data association by splitting the joint probability distribution into a mean-field approximate part and a belief propagation part.
no code implementations • 15 Apr 2022 • Jiwei Chen, Wen Su, Zengfu Wang
Crowd counting is a challenging problem due to the scene complexity and scale variation.
no code implementations • 15 Apr 2022 • Jiwei Chen, Kewei Wang, Wen Su, Zengfu Wang
Existing methods with simple Euclidean distance algorithm indiscriminately optimize the hard and easy examples so that the densities of hard examples are usually incorrectly predicted to be lower or even zero, which results in large counting errors.
no code implementations • 15 Apr 2022 • Jiwei Chen, Zengfu Wang
With the guidance of an attention mechanism, the proposed SegCrowdNet pays more attention to the human head region and automatically encodes the highly refined density map.
no code implementations • 15 Jan 2022 • Tianjiao Wang, Zengfu Wang, Bill Moran, Moshe Zukerman
It differs from the Euclidean Steiner tree problem, where Steiner points are forced to have degree three; this is no longer the case, in general, when nodes incur a cost.
1 code implementation • 12 Oct 2021 • Shilian Wu, Wei Zhai, Yongrui Li, Kewei Wang, Zengfu Wang
It is crucial to understand the robustness of text detection models with regard to extensive corruptions, since scene text detection techniques have many practical applications.
1 code implementation • 7 Jul 2021 • Jia Li, Linhua Xiang, Jiwei Chen, Zengfu Wang
Given an image, we employ an Hourglass Network to infer all the keypoints from different persons indiscriminately as well as the guiding offsets connecting the adjacent keypoints belonging to the same persons.
Ranked #10 on Pose Estimation on CrowdPose
no code implementations • 28 Jul 2020 • Tianjiao Wang, Zengfu Wang, Bill Moran, Moshe Zukerman
For cable systems for which ILP is not able to find the optimal solution within an acceptable time, we propose an alternative heuristic algorithm based on Prim's algorithm.
no code implementations • 5 May 2020 • Zhen Guo, Zengfu Wang, Hua Lan, Quan Pan, Kun Lu
Therefore, to improve the localization accuracy of OTHR, it is important to develop accurate models and estimation methods of ionospheric parameters and the corresponding target tracking algorithms.
8 code implementations • 24 Nov 2019 • Jia Li, Wen Su, Zengfu Wang
We rethink a well-know bottom-up approach for multi-person pose estimation and propose an improved one.
Ranked #9 on Keypoint Detection on COCO test-dev
no code implementations • 9 May 2019 • Yinglu Liu, Hao Shen, Yue Si, Xiaobo Wang, Xiangyu Zhu, Hailin Shi, Zhibin Hong, Hanqi Guo, Ziyuan Guo, Yanqin Chen, Bi Li, Teng Xi, Jun Yu, Haonian Xie, Guochen Xie, Mengyan Li, Qing Lu, Zengfu Wang, Shenqi Lai, Zhenhua Chai, Xiaoming Wei
However, previous competitions on facial landmark localization (i. e., the 300-W, 300-VW and Menpo challenges) aim to predict 68-point landmarks, which are incompetent to depict the structure of facial components.
no code implementations • 27 Oct 2016 • Hua Lan, Shuai Sun, Zengfu Wang, Quan Pan, Zhishan Zhang
We consider multitarget detection and tracking problem for a class of multipath detection system where one target may generate multiple measurements via multiple propagation paths, and the association relationship among targets, measurements and propagation paths is unknown.
no code implementations • 5 Jun 2016 • Jing Zhang, Yang Cao, Zengfu Wang
ii) Then it achieves a color-balance result by performing a color correction step after estimating the color characteristics of the incident light.