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Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT
  Benchmark for Crowd Counting

Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting

8 December 2020
Lingbo Liu
Jiaqi Chen
Hefeng Wu
Guanbin Li
Chenglong Li
Liang Lin
ArXivPDFHTML

Papers citing "Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting"

14 / 14 papers shown
Title
UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation
Tao Zhang
Jinyong Wen
Zhen Chen
Kun Ding
S. Xiang
Chunhong Pan
72
1
0
04 Feb 2025
Conditional Prompt Tuning for Multimodal Fusion
Conditional Prompt Tuning for Multimodal Fusion
Ruixia Jiang
Lingbo Liu
Changwen Chen
20
0
0
28 Nov 2023
Why Existing Multimodal Crowd Counting Datasets Can Lead to Unfulfilled
  Expectations in Real-World Applications
Why Existing Multimodal Crowd Counting Datasets Can Lead to Unfulfilled Expectations in Real-World Applications
M. Thissen
Elke Hergenröther
12
1
0
13 Apr 2023
RGB-T Multi-Modal Crowd Counting Based on Transformer
RGB-T Multi-Modal Crowd Counting Based on Transformer
Zhengyi Liu
Wei Wu
liuzywen
Guanghui Zhang
ViT
18
11
0
08 Jan 2023
Translation, Scale and Rotation: Cross-Modal Alignment Meets
  RGB-Infrared Vehicle Detection
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection
Maoxun Yuan
Yinyan Wang
Xingxing Wei
42
43
0
28 Sep 2022
Revisiting Crowd Counting: State-of-the-art, Trends, and Future
  Perspectives
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
Muhammad Asif Khan
Hamid Menouar
R. Hamila
HAI
31
56
0
14 Sep 2022
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
S. Zafeiriou
28
44
0
04 Aug 2022
Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng
Qi Dai
Hong Li
JingKuan Song
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
37
95
0
10 Jun 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao
Jingqi Li
Hongming Shan
Yanyun Qu
J. Z. Wang
Fei-Yue Wang
Junping Zhang
30
19
0
06 May 2022
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard
  Example Focusing
SSR-HEF: Crowd Counting with Multi-Scale Semantic Refining and Hard Example Focusing
Jiwei Chen
Kewei Wang
Wen Su
Zengfu Wang
24
10
0
15 Apr 2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting
DR.VIC: Decomposition and Reasoning for Video Individual Counting
Tao Han
Lei Bai
Junyuan Gao
Qi. Wang
Wanli Ouyang
OT
33
23
0
23 Mar 2022
Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and
  A New Benchmark
Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark
Lin Nie
Lingbo Liu
Zhengtao Wu
Wenxiong Kang
CVBM
3DV
19
11
0
02 Dec 2021
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring
  Network
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network
Zhikang Zou
Xiaoye Qu
Pan Zhou
Shuangjie Xu
Xiaoqing Ye
Wenhao Wu
Jinxing Ye
19
32
0
27 Jul 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network
  Design, Loss Function and Supervisory Signal
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal
Haoyue Bai
Jiageng Mao
Shueng-Han Gary Chan
41
22
0
31 Dec 2020
1