Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network | Paper Citation Record

Observation 19a91b48-8ea1-4ba7-95ba-9c4fa7cf6144 · outbound

This paper cites Frequency bias in neural networks for input of non-uniform density.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Frequency bias in neural networks for input of non-uniform density

Reference 1

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Observation d9293d5a-fdcc-4c47-b280-a50e08655ad4 · outbound

This paper cites Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance

Reference 2

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This paper cites The effectiveness of a simplified model structure for crowd counting.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network The effectiveness of a simplified model structure for crowd counting

Reference 3

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This paper cites Simple Training Strategies and Model Scaling for Object Detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Simple Training Strategies and Model Scaling for Object Detection

Reference 4

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This paper cites Cross-Modality Fusion Transformer for Multispectral Object Detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Cross-Modality Fusion Transformer for Multispectral Object Detection

Reference 5

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This paper cites Lraf-net: Long-range attention fusion network for visible–infrared object detection.IEEE Transac- tions on Neural Networks and Learning Systems, 35:13232– 13243, 2023.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Lraf-net: Long-range attention fusion network for visible–infrared object detection.IEEE Transac- tions on Neural Networks and Learning Systems, 35:13232– 13243, 2023

Reference 6

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Observation 8bf04c18-8b5c-4820-b634-7ce4a80a5bea · outbound

This paper cites Learning Independent Instance Maps for Crowd Localization.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Learning Independent Instance Maps for Crowd Localization

Reference 7

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This paper cites Simple copy-paste is a strong data augmentation method for instance segmentation.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Simple copy-paste is a strong data augmentation method for instance segmentation

Reference 8

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Observation e4faa797-2398-46f9-b95c-ff8c7b74dfb5 · outbound

This paper cites Dpdetr: Decoupled position detection transformer for infrared-visible object detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Dpdetr: Decoupled position detection transformer for infrared-visible object detection

Reference 9

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Observation 25f8c198-4a32-4d9c-b3f8-49fec092efe9 · outbound

This paper cites Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

Reference 10

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Observation ebcc5b5f-fdf1-4f80-a78a-8276a7ff3f1a · outbound

This paper cites Attention scaling for crowd counting.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Attention scaling for crowd counting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.622207Z

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Observation 2c466b3b-f45f-4180-82e4-f7f2e637d10a · outbound

This paper cites Multimodal crowd counting with pix2pix gans.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Multimodal crowd counting with pix2pix gans

Reference 12

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Observation 4ae70afe-586b-49ca-a1c8-2df7609edd61 · outbound

This paper cites The hungarian method for the assignment problem.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network The hungarian method for the assignment problem

Reference 13

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This paper cites Illumination-aware faster r-cnn for robust multispectral pedestrian detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Illumination-aware faster r-cnn for robust multispectral pedestrian detection

Reference 14

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This paper cites Confidence-aware fusion using dempster- shafer theory for multispectral pedestrian detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Confidence-aware fusion using dempster- shafer theory for multispectral pedestrian detection

Reference 15

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This paper cites Stabilizing multispectral pedestrian de- tection with evidential hybrid fusion.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Stabilizing multispectral pedestrian de- tection with evidential hybrid fusion

Reference 16

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Observation d4c160e7-0194-47a4-8e8f-f36631e6d03b · outbound

This paper cites Focal inverse distance transform maps for crowd localization.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Focal inverse distance transform maps for crowd localization

Reference 17

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Observation b2382396-d412-455a-98ac-7c3b816a9665 · outbound

This paper cites An End-to-End Transformer Model for Crowd Localization.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network An End-to-End Transformer Model for Crowd Localization

Reference 18

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Observation 266a5dd8-18dd-486b-bf21-d9cc15f39097 · outbound

This paper cites Lin and A.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Lin and A

Reference 19

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Observation 5fb6137e-513a-43ba-b282-bc739013cd28 · outbound

This paper cites Point-query quadtree for crowd counting, localization, and more.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Point-query quadtree for crowd counting, localization, and more

Reference 20

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This paper cites Multispectral deep neural networks for pedes- trian detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Multispectral deep neural networks for pedes- trian detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.492056Z

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This paper cites Leveraging self-supervision for cross-domain crowd counting.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Leveraging self-supervision for cross-domain crowd counting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.477550Z

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Observation 7e38b7a1-b713-4178-8d52-b6e54de53429 · outbound

This paper cites Point in, box out: Beyond counting persons in crowds.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Point in, box out: Beyond counting persons in crowds

Reference 23

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This paper cites Implicit neural representation in med- ical imaging: A comparative survey.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Implicit neural representation in med- ical imaging: A comparative survey

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.448462Z

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This paper cites Deepsdf: Learning continuous signed distance functions for shape representation.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Deepsdf: Learning continuous signed distance functions for shape representation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.433302Z

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This paper cites Rgb-t crowd counting from drone: A benchmark and mmccn network.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Rgb-t crowd counting from drone: A benchmark and mmccn network

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.418923Z

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Observation 5901e4d3-f740-4e77-a0da-c1fd357fb5fa · outbound

This paper cites On the spectral bias of neural net- works.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network On the spectral bias of neural net- works

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.404285Z

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This paper cites Faster r-cnn: Towards real-time ob- ject detection with region proposal networks.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Faster r-cnn: Towards real-time ob- ject detection with region proposal networks

Reference 28

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This paper cites Locate, size, and count: Accu- rately resolving people in dense crowds via detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Locate, size, and count: Accu- rately resolving people in dense crowds via detection

Reference 29

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This paper cites ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection

Reference 30

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Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Rethinking counting and localization in crowds: A purely point-based framework

Reference 31

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This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 32

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This paper cites Counting in dense crowds using deep features.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Counting in dense crowds using deep features

Reference 33

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This paper cites Multispectral pedestrian detection using deep fusion convolutional neural networks.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Multispectral pedestrian detection using deep fusion convolutional neural networks

Reference 34

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This paper cites A generalized loss function for crowd counting and localization.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network A generalized loss function for crowd counting and localization

Reference 35

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This paper cites Dronenet: Rescue drone-view object detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Dronenet: Rescue drone-view object detection

Reference 36

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Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network DAF-Net: A Dual-Branch Feature Decomposition Fusion Network with Domain Adaptive for Infrared and Visible Image Fusion

Reference 37

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This paper cites UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution

Reference 38

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This paper cites Baanet: Learning bi-directional adaptive attention gates for multispectral pedestrian detec- tion.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Baanet: Learning bi-directional adaptive attention gates for multispectral pedestrian detec- tion

Reference 39

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Observation 6cc6b4c2-6b3c-4d4f-9a54-459305437adf · outbound

This paper cites Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection

Reference 40

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This paper cites Improving rgb-infrared object detec- tion with cascade alignment-guided transformer.Inf.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Improving rgb-infrared object detec- tion with cascade alignment-guided transformer.Inf

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.273845Z

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This paper cites C²former: Calibrated and complementary transformer for rgb-infrared object de- tection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network C²former: Calibrated and complementary transformer for rgb-infrared object de- tection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:34:35.257487Z

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Observation 574c40bc-f2e2-4ba7-8790-4d1a41f2f5a1 · outbound

This paper cites Weakly aligned feature fusion for mul- timodal object detection.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Weakly aligned feature fusion for mul- timodal object detection

Reference 43

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This paper cites Single-image crowd counting via multi-column convolutional neural network.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Single-image crowd counting via multi-column convolutional neural network

Reference 44

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This paper cites Improving multispectral pedestrian detection by addressing modality imbalance problems.

Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Improving multispectral pedestrian detection by addressing modality imbalance problems

Reference 45

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Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization Network Unresolved cited work

Reference 46

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