139 related articles for article (PubMed ID: 31725380)
1. PaDNet: Pan-Density Crowd Counting.
Tian Y; Lei Y; Zhang J; Wang JZ
IEEE Trans Image Process; 2019 Nov; ():. PubMed ID: 31725380
[TBL] [Abstract][Full Text] [Related]
2. Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting.
Huang L; Shen S; Zhu L; Shi Q; Zhang J
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590922
[TBL] [Abstract][Full Text] [Related]
3. HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting.
Ilyas N; Lee B; Kim K
Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34067707
[TBL] [Abstract][Full Text] [Related]
4. A Dilated Convolutional Neural Network for Cross-Layers of Contextual Information for Congested Crowd Counting.
Zhao Z; Ma P; Jia M; Wang X; Hei X
Sensors (Basel); 2024 Mar; 24(6):. PubMed ID: 38544079
[TBL] [Abstract][Full Text] [Related]
5. COMAL: compositional multi-scale feature enhanced learning for crowd counting.
Zhou F; Zhao H; Zhang Y; Zhang Q; Liang L; Li Y; Duan Z
Multimed Tools Appl; 2022; 81(15):20541-20560. PubMed ID: 35291715
[TBL] [Abstract][Full Text] [Related]
6. Crowd Counting Based on Multiscale Spatial Guided Perception Aggregation Network.
Chen Z; Zhang S; Zheng X; Zhao X; Kong Y
IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37610898
[TBL] [Abstract][Full Text] [Related]
7. Confusion Region Mining for Crowd Counting.
Zhu J; Zhao W; Yao L; He Y; Hu M; Zhang X; Wang S; Li T; Lu H
IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37713223
[TBL] [Abstract][Full Text] [Related]
8. Exploring density rectification and domain adaption method for crowd counting.
Peng S; Yin B; Yang Q; He Q; Wang L
Neural Comput Appl; 2023; 35(4):3551-3569. PubMed ID: 36267471
[TBL] [Abstract][Full Text] [Related]
9. An Adaptive Multi-Scale Network Based on Depth Information for Crowd Counting.
Zhang P; Lei W; Zhao X; Dong L; Lin Z
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765861
[TBL] [Abstract][Full Text] [Related]
10. Redesigning Multi-Scale Neural Network for Crowd Counting.
Du Z; Shi M; Deng J; Zafeiriou S
IEEE Trans Image Process; 2023; 32():3664-3678. PubMed ID: 37384475
[TBL] [Abstract][Full Text] [Related]
11. HRANet: Hierarchical region-aware network for crowd counting.
Xie J; Gu L; Li Z; Lyu L
Appl Intell (Dordr); 2022; 52(11):12191-12205. PubMed ID: 35125656
[TBL] [Abstract][Full Text] [Related]
12. Spatial-Frequency Attention Network for Crowd Counting.
Guo X; Gao M; Zhai W; Shang J; Li Q
Big Data; 2022 Oct; 10(5):453-465. PubMed ID: 35679590
[TBL] [Abstract][Full Text] [Related]
13. Offset-decoupled deformable convolution for efficient crowd counting.
Zhong X; Qin J; Guo M; Zuo W; Lu W
Sci Rep; 2022 Jul; 12(1):12229. PubMed ID: 35851829
[TBL] [Abstract][Full Text] [Related]
14. Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance.
Gao J; Yuan Y; Wang Q
IEEE Trans Cybern; 2021 Oct; 51(10):4822-4833. PubMed ID: 33259318
[TBL] [Abstract][Full Text] [Related]
15. DMPNet: densely connected multi-scale pyramid networks for crowd counting.
Li P; Zhang M; Wan J; Jiang M
PeerJ Comput Sci; 2022; 8():e902. PubMed ID: 35494810
[TBL] [Abstract][Full Text] [Related]
16. Multiscale Aggregate Networks with Dense Connections for Crowd Counting.
Li P; Zhang M; Wan J; Jiang M
Comput Intell Neurosci; 2021; 2021():9996232. PubMed ID: 34804153
[TBL] [Abstract][Full Text] [Related]
17. Counting Crowds with Perspective Distortion Correction via Adaptive Learning.
Sun Y; Jin J; Wu X; Ma T; Yang J
Sensors (Basel); 2020 Jul; 20(13):. PubMed ID: 32640552
[TBL] [Abstract][Full Text] [Related]
18. Background Noise Filtering and Distribution Dividing for Crowd Counting.
Mo H; Ren W; Xiong Y; Pan X; Zhou Z; Cao X; Wu W
IEEE Trans Image Process; 2020 Aug; PP():. PubMed ID: 32759083
[TBL] [Abstract][Full Text] [Related]
19. Smart Camera Aware Crowd Counting via Multiple Task Fractional Stride Deep Learning.
Tong M; Fan L; Nan H; Zhao Y
Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30889874
[TBL] [Abstract][Full Text] [Related]
20. Congested Crowd Counting via Adaptive Multi-Scale Context Learning.
Zhang Y; Zhao H; Duan Z; Huang L; Deng J; Zhang Q
Sensors (Basel); 2021 May; 21(11):. PubMed ID: 34072408
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]