:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Fei, Li, Yi, Zhu, Mingqing
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.06937
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Dual-Modulation Framework for RGB-T Crowd Counting via Spatially Modulated Attention and Adaptive Fusion
by: Feng, Yuhong, et al.
Published: (2025)

Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization
by: Zou, Yuda, et al.
Published: (2025)

RCCFormer: A Robust Crowd Counting Network Based on Transformer
by: Liu, Peng, et al.
Published: (2025)

EHNet: An Efficient Hybrid Network for Crowd Counting and Localization
by: Yan, Yuqing, et al.
Published: (2025)

Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
by: Lin, Wei, et al.
Published: (2025)

FGA: Fourier-Guided Attention Network for Crowd Count Estimation
by: Chaudhuri, Yashwardhan, et al.
Published: (2024)

3D Crowd Counting via Geometric Attention-guided Multi-View Fusion
by: Zhang, Qi, et al.
Published: (2020)

CountFormer: Multi-View Crowd Counting Transformer
by: Mo, Hong, et al.
Published: (2024)

FGENet: Fine-Grained Extraction Network for Congested Crowd Counting
by: Ma, Hao-Yuan, et al.
Published: (2024)

RACANet: Reliability-Aware Crowd Anchor Network for RGB-T Crowd Counting
by: Shi, Jinghao, et al.
Published: (2026)

Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
by: Chen, I-Hsiang, et al.
Published: (2024)

RepSFNet : A Single Fusion Network with Structural Reparameterization for Crowd Counting
by: Achmadiah, Mas Nurul, et al.
Published: (2026)

Embodied Crowd Counting
by: Long, Runling, et al.
Published: (2025)

Local Information Matters: A Rethink of Crowd Counting
by: Pan, Tianhang, et al.
Published: (2025)

A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting
by: Chaudhuri, Yashwardhan, et al.
Published: (2024)

A Transformer-based Multimodal Fusion Model for Efficient Crowd Counting Using Visual and Wireless Signals
by: Cui, Zhe, et al.
Published: (2025)

Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
by: Lin, Hui, et al.
Published: (2024)

DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
by: Wu, Yihong, et al.
Published: (2025)

The Effectiveness of a Simplified Model Structure for Crowd Counting
by: Chen, Lei, et al.
Published: (2024)

Density Estimation and Crowd Counting
by: Sunil, Balachandra Devarangadi, et al.
Published: (2025)

Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM
by: Wan, Jia, et al.
Published: (2024)

HyperPointFormer: Multimodal Fusion in 3D Space with Dual-Branch Cross-Attention Transformers
by: Rizaldy, Aldino, et al.
Published: (2025)

Semi-Supervised Multi-View Crowd Counting by Ranking Multi-View Fusion Models
by: Zhang, Qi, et al.
Published: (2025)

MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification
by: Dulal, Rabin, et al.
Published: (2025)

Bound Tightening Network for Robust Crowd Counting
by: Wu, Qiming
Published: (2024)

Tri-FusionNet: Enhancing Image Description Generation with Transformer-based Fusion Network and Dual Attention Mechanism
by: Agarwal, Lakshita, et al.
Published: (2025)

Active View Selection for Scene-level Multi-view Crowd Counting and Localization with Limited Labels
by: Zhang, Qi, et al.
Published: (2025)

Rethinking Global Context in Crowd Counting
by: Sun, Guolei, et al.
Published: (2021)

Single Domain Generalization for Crowd Counting
by: Peng, Zhuoxuan, et al.
Published: (2024)

Learning Discriminative Features for Crowd Counting
by: Chen, Yuehai, et al.
Published: (2023)

Point Resampling and Ray Transformation Aid to Editable NeRF Models
by: Li, Zhenyang, et al.
Published: (2024)

Bayesian Multi-Scale Neural Network for Crowd Counting
by: Sagar, Abhinav
Published: (2020)

SynMVCrowd: A Large Synthetic Benchmark for Multi-view Crowd Counting and Localization
by: Zhang, Qi, et al.
Published: (2026)

L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation
by: Xu, Guoliang, et al.
Published: (2025)

Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
by: Guo, Mingyue, et al.
Published: (2023)

Crowded Video Individual Counting Informed by Social Grouping and Spatial-Temporal Displacement Priors
by: Lu, Hao, et al.
Published: (2026)

Local Attention Transformers for High-Detail Optical Flow Upsampling
by: Gielisse, Alexander, et al.
Published: (2024)

Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
by: He, Yuanpeng, et al.
Published: (2024)

Curriculum for Crowd Counting -- Is it Worthy?
by: Khan, Muhammad Asif, et al.
Published: (2024)

Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
by: Anisha, Alabi Mehzabin, et al.
Published: (2026)