Achieving Text-based Person Retrieval with Any Granularity | Paper Citation Record

Observation f705be14-ef26-4f5a-84b5-ccac04b19c98 · outbound

This paper cites Person search with natural language description,.

Achieving Text-based Person Retrieval with Any Granularity Person search with natural language description,

Reference 1

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Observation 514c843f-d3bc-462d-a1c5-591ce3e83a72 · outbound

This paper cites Scalable person re-identification: A benchmark,.

Achieving Text-based Person Retrieval with Any Granularity Scalable person re-identification: A benchmark,

Reference 2

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Observation 521da11e-4550-4808-aa5a-2185c4f7fa9b · outbound

This paper cites Person transfer gan to bridge domain gap for person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Person transfer gan to bridge domain gap for person re-identification,

Reference 3

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Observation 15180668-7c43-4297-911c-322b25118f9d · outbound

This paper cites Transreid: Transformer-based object re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Transreid: Transformer-based object re-identification,

Reference 4

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Observation 6af78c06-e39e-4db4-9cab-889d4fb98079 · outbound

This paper cites Cross-video identity correlating for person re- identification pre-training,.

Achieving Text-based Person Retrieval with Any Granularity Cross-video identity correlating for person re- identification pre-training,

Reference 5

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Observation 5c09c510-de1a-4527-aad7-eeffbf2108e4 · outbound

This paper cites Deep learning for person re-identification: A survey and outlook,.

Achieving Text-based Person Retrieval with Any Granularity Deep learning for person re-identification: A survey and outlook,

Reference 6

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Observation 1ee2ec2c-5ec7-4031-ab73-cfa1af343b34 · outbound

This paper cites Transformer for object re-identification: A survey,.

Achieving Text-based Person Retrieval with Any Granularity Transformer for object re-identification: A survey,

Reference 7

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Observation ecf7bc91-b023-4c86-b00a-b64413d76e35 · outbound

This paper cites Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification.

Achieving Text-based Person Retrieval with Any Granularity Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification

Reference 8

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Observation 6a6f8e9d-959f-4ac2-af41-6917f099edf3 · outbound

This paper cites Dssl: Deep surroundings-person separation learning for text-based person retrieval,.

Achieving Text-based Person Retrieval with Any Granularity Dssl: Deep surroundings-person separation learning for text-based person retrieval,

Reference 9

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Observation 359a081f-c333-4b6c-9ca9-70c49c34d9bd · outbound

This paper cites Ufinebench: Towards text-based person retrieval with ultra-fine granularity,.

Achieving Text-based Person Retrieval with Any Granularity Ufinebench: Towards text-based person retrieval with ultra-fine granularity,

Reference 10

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Observation 7094c35c-4195-49d9-ac2a-c485087aaa1c · outbound

This paper cites Chat-based person retrieval via dialogue-refined cross-modal alignment,.

Achieving Text-based Person Retrieval with Any Granularity Chat-based person retrieval via dialogue-refined cross-modal alignment,

Reference 11

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Observation 11d8f8e1-76f9-4701-8676-e48d599290e5 · outbound

This paper cites LLaVA- reID: Selective multi-image questioner for interactive person re- identification,.

Achieving Text-based Person Retrieval with Any Granularity LLaVA- reID: Selective multi-image questioner for interactive person re- identification,

Reference 12

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Observation 3987306d-0212-49a1-b4f8-1d541b6fdfc6 · outbound

This paper cites Human- centered interactive learning via mllms for text-to-image person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Human- centered interactive learning via mllms for text-to-image person re-identification,

Reference 13

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Observation 28f14bae-949b-4542-80c7-ff16f4a896d7 · outbound

This paper cites Qwen2.5-VL Technical Report.

Achieving Text-based Person Retrieval with Any Granularity Qwen2.5-VL Technical Report

Reference 14

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Observation 463469ab-4745-4da5-aa1a-40f99e641bbc · outbound

This paper cites Qwen3 Technical Report.

Achieving Text-based Person Retrieval with Any Granularity Qwen3 Technical Report

Reference 15

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Observation 54acf2aa-e705-4ede-b97e-70e0040622c5 · outbound

This paper cites Cross-modal implicit relation reasoning and aligning for text-to-image person retrieval,.

Achieving Text-based Person Retrieval with Any Granularity Cross-modal implicit relation reasoning and aligning for text-to-image person retrieval,

Reference 16

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Observation d42d72cc-2314-456b-9146-1c0b508f95a7 · outbound

This paper cites Noisy-correspondence learning for text-to-image person re- identification,.

Achieving Text-based Person Retrieval with Any Granularity Noisy-correspondence learning for text-to-image person re- identification,

Reference 17

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Observation dd5be114-4492-4ada-a562-7e9757b36344 · outbound

This paper cites FG-CLIP: Fine-grained visual and textual alignment,.

Achieving Text-based Person Retrieval with Any Granularity FG-CLIP: Fine-grained visual and textual alignment,

Reference 18

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Observation d3a61b59-abd7-4027-a936-57786ae45605 · outbound

This paper cites Plip: Language-image pre-training for person represen- tation learning,.

Achieving Text-based Person Retrieval with Any Granularity Plip: Language-image pre-training for person represen- tation learning,

Reference 19

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Observation de591ac6-7512-4799-9af5-57e3acf86c8f · outbound

This paper cites Towards unified text-based person retrieval: A large-scale multi-attribute and language search benchmark,.

Achieving Text-based Person Retrieval with Any Granularity Towards unified text-based person retrieval: A large-scale multi-attribute and language search benchmark,

Reference 20

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Observation 2d922c06-112e-478d-be03-83af4873482d · outbound

This paper cites Deep cross-modal projection learning for image-text matching,.

Achieving Text-based Person Retrieval with Any Granularity Deep cross-modal projection learning for image-text matching,

Reference 21

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Observation a726d55b-c105-4fba-9d25-90a3dbe8f11f · outbound

This paper cites Dual-path convolutional image-text embeddings with instance loss,.

Achieving Text-based Person Retrieval with Any Granularity Dual-path convolutional image-text embeddings with instance loss,

Reference 22

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Observation 82df7c6a-bd0a-418f-9cf9-27efa0a98b1f · outbound

This paper cites Improving text-based person search by spatial matching and adaptive threshold,.

Achieving Text-based Person Retrieval with Any Granularity Improving text-based person search by spatial matching and adaptive threshold,

Reference 23

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Observation cf9bdb9e-01f9-4997-9628-e0de5bf0eb85 · outbound

This paper cites Language person search with mutually connected classification loss,.

Achieving Text-based Person Retrieval with Any Granularity Language person search with mutually connected classification loss,

Reference 24

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Observation f54ff8db-d391-4408-85b6-79f371a34fea · outbound

This paper cites Pose-guided multi-granularity attention network for text-based person search,.

Achieving Text-based Person Retrieval with Any Granularity Pose-guided multi-granularity attention network for text-based person search,

Reference 25

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Observation ac50907d-727a-477a-9057-e89a3209d422 · outbound

This paper cites Vitaa: Visual-textual attributes alignment in person search by natural language,.

Achieving Text-based Person Retrieval with Any Granularity Vitaa: Visual-textual attributes alignment in person search by natural language,

Reference 26

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Observation d092d3d2-2763-49c8-861b-941bf7764b22 · outbound

This paper cites Improving description-based person re-identification by multi-granularity image-text alignments,.

Achieving Text-based Person Retrieval with Any Granularity Improving description-based person re-identification by multi-granularity image-text alignments,

Reference 27

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Observation 88f107d5-6f1a-4335-b30b-1cfc38e640f0 · outbound

This paper cites Caibc: Capturing all-round information beyond color for text- based person retrieval,.

Achieving Text-based Person Retrieval with Any Granularity Caibc: Capturing all-round information beyond color for text- based person retrieval,

Reference 28

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Observation e864882a-34bb-484e-b50c-cf6d2e726538 · outbound

This paper cites Lapscore: language-guided person search via color reasoning,.

Achieving Text-based Person Retrieval with Any Granularity Lapscore: language-guided person search via color reasoning,

Reference 29

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Observation 80d04a95-633e-466c-99c2-85d85a873046 · outbound

This paper cites An empirical study of clip for text-based person search,.

Achieving Text-based Person Retrieval with Any Granularity An empirical study of clip for text-based person search,

Reference 30

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Observation 985547cd-dc85-426a-b4a9-33533b9b0bd8 · outbound

This paper cites Clip-driven fine-grained text-image person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Clip-driven fine-grained text-image person re-identification,

Reference 31

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Observation ddfe9609-a561-41a9-b414-95cf951d0ca7 · outbound

This paper cites P-clip: Pro- gressive discrepancy learning for one-shot text-to-image person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity P-clip: Pro- gressive discrepancy learning for one-shot text-to-image person re-identification,

Reference 32

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Observation 0a56e313-8fdc-4d3f-81af-f3f1789723a2 · outbound

This paper cites I2id: Disentangling identity features via synchronized masking for zero-shot composed person retrieval,.

Achieving Text-based Person Retrieval with Any Granularity I2id: Disentangling identity features via synchronized masking for zero-shot composed person retrieval,

Reference 33

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Observation 7c4612fe-f0d1-4bfa-8e0d-cdcd4622519e · outbound

This paper cites Learning transfer- able visual models from natural language supervision,.

Achieving Text-based Person Retrieval with Any Granularity Learning transfer- able visual models from natural language supervision,

Reference 34

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Observation 281e3411-fe0a-4220-9976-dc8fd894b912 · outbound

This paper cites Fine-grained semantics-aware representation learning for text-based person retrieval,.

Achieving Text-based Person Retrieval with Any Granularity Fine-grained semantics-aware representation learning for text-based person retrieval,

Reference 35

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Observation 8ca44d65-69fd-407f-b2bf-5d58e8bd9ed0 · outbound

This paper cites Clip-based synergistic knowledge transfer for text-based person retrieval,.

Achieving Text-based Person Retrieval with Any Granularity Clip-based synergistic knowledge transfer for text-based person retrieval,

Reference 36

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Observation ab154ccb-af5f-4a07-80ed-0f536ec253ef · outbound

This paper cites Enhancing visual representation for text-based person searching,.

Achieving Text-based Person Retrieval with Any Granularity Enhancing visual representation for text-based person searching,

Reference 37

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Observation 437216d6-173c-49a9-8cd0-b95ae07781dc · outbound

This paper cites Vse++: Improving visual-semantic embeddings with hard negatives,.

Achieving Text-based Person Retrieval with Any Granularity Vse++: Improving visual-semantic embeddings with hard negatives,

Reference 38

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Observation e6998038-0c89-4403-9d32-1a3c07a4e399 · outbound

This paper cites Align before fuse: Vision and language representation learning with momentum distillation,.

Achieving Text-based Person Retrieval with Any Granularity Align before fuse: Vision and language representation learning with momentum distillation,

Reference 39

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Observation 4b729f50-56d4-44a8-a2f8-4a7c9c8ae74b · outbound

This paper cites Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation,.

Achieving Text-based Person Retrieval with Any Granularity Blip: Bootstrapping language- image pre-training for unified vision-language understanding and generation,

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Observation cae77c36-b1b6-46b4-8767-7000dc57be3c · outbound

This paper cites FILIP: Fine-grained interactive language- image pre-training,.

Achieving Text-based Person Retrieval with Any Granularity FILIP: Fine-grained interactive language- image pre-training,

Reference 41

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Observation aa545b6b-e859-40eb-86fc-a74f5debad78 · outbound

This paper cites Long-clip: Unlocking the long-text capability of clip,.

Achieving Text-based Person Retrieval with Any Granularity Long-clip: Unlocking the long-text capability of clip,

Reference 42

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Observation eab21aa5-6720-4c58-ba5e-b4d65821749f · outbound

This paper cites Imram: Iterative matching with recurrent attention memory for cross- modal image-text retrieval,.

Achieving Text-based Person Retrieval with Any Granularity Imram: Iterative matching with recurrent attention memory for cross- modal image-text retrieval,

Reference 43

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Observation c77b49e5-cd24-46d3-b651-eda6eb6add97 · outbound

This paper cites Fine-grained image-text matching by cross-modal hard aligning network,.

Achieving Text-based Person Retrieval with Any Granularity Fine-grained image-text matching by cross-modal hard aligning network,

Reference 44

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Observation a08a6341-0738-4435-a341-d8635a7045d4 · outbound

This paper cites Flair: Vlm with fine-grained language-informed image representations,.

Achieving Text-based Person Retrieval with Any Granularity Flair: Vlm with fine-grained language-informed image representations,

Reference 45

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Observation 13762a02-8010-40aa-be40-7a9ccf36f842 · outbound

This paper cites Benchmark granularity and model robustness for image-text retrieval: A reproducibility study,.

Achieving Text-based Person Retrieval with Any Granularity Benchmark granularity and model robustness for image-text retrieval: A reproducibility study,

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Observation c7b3c6d8-6d94-4145-99d5-5cc17cc40625 · outbound

This paper cites Multi-grained vision language pre- training: Aligning texts with visual concepts,.

Achieving Text-based Person Retrieval with Any Granularity Multi-grained vision language pre- training: Aligning texts with visual concepts,

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Observation 5983c611-e48c-4f72-b760-ab50f88074d3 · outbound

This paper cites Pixclip: Achieving fine-grained visual language understanding via any-granularity pixel-text alignment learning,.

Achieving Text-based Person Retrieval with Any Granularity Pixclip: Achieving fine-grained visual language understanding via any-granularity pixel-text alignment learning,

Reference 48

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Observation 9d25eef9-d9e9-4634-91ec-b39813b6fbc9 · outbound

This paper cites Mulclip: A multi-level alignment framework for enhancing fine-grained long-context clip,.

Achieving Text-based Person Retrieval with Any Granularity Mulclip: A multi-level alignment framework for enhancing fine-grained long-context clip,

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Observation fff04b9e-bcf7-45cc-a2e3-8506a172836c · outbound

This paper cites X-clip: End-to- end multi-grained contrastive learning for video-text retrieval,.

Achieving Text-based Person Retrieval with Any Granularity X-clip: End-to- end multi-grained contrastive learning for video-text retrieval,

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Resolution: unresolved; no resolver link, observed 2026-08-01T08:39:55.276654Z

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Observation 8fa120c3-1eee-4afe-bb2f-f58fc727c850 · outbound

This paper cites Mgsgm: Multi-granularity selective graph mamba for image-text retrieval,.

Achieving Text-based Person Retrieval with Any Granularity Mgsgm: Multi-granularity selective graph mamba for image-text retrieval,

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Observation 28a22baf-687d-4624-86e5-7eb0c64f035a · outbound

This paper cites Fairmot: On the fairness of detection and re-identification in multiple object tracking,.

Achieving Text-based Person Retrieval with Any Granularity Fairmot: On the fairness of detection and re-identification in multiple object tracking,

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Observation 6c6780c6-f5f7-44ed-8411-defa60f1099f · outbound

This paper cites Rgb-infrared cross-modality person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Rgb-infrared cross-modality person re-identification,

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Observation e4f377f7-1cf8-41e3-99ad-3b07aaaa0d4d · outbound

This paper cites Diverse embedding expansion network and low-light cross-modality benchmark for visible-infrared per- son re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Diverse embedding expansion network and low-light cross-modality benchmark for visible-infrared per- son re-identification,

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Observation 4d3ec39a-7913-47dc-9bba-57fc1495157a · outbound

This paper cites Attention is all you need,.

Achieving Text-based Person Retrieval with Any Granularity Attention is all you need,

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Observation 77ffe639-09af-412b-9a2d-447fc70509d9 · outbound

This paper cites Har- nessing the power of mllms for transferable text-to-image person reid,.

Achieving Text-based Person Retrieval with Any Granularity Har- nessing the power of mllms for transferable text-to-image person reid,

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Observation 8a57b1f0-5a85-4488-a8ea-96814ffa4c1e · outbound

This paper cites Modeling thousands of human annotators for generalizable text-to-image person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Modeling thousands of human annotators for generalizable text-to-image person re-identification,

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Observation c2de62c2-4873-4f11-be38-317944a0be82 · outbound

This paper cites Learn- ing granularity-unified representations for text-to-image person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Learn- ing granularity-unified representations for text-to-image person re-identification,

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Observation 34aa4cd2-0b60-4138-8cb7-9a172bdacbd3 · outbound

This paper cites Bilma: Bidirectional local-matching for text-based person re-identification,.

Achieving Text-based Person Retrieval with Any Granularity Bilma: Bidirectional local-matching for text-based person re-identification,

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Observation 5193a357-9e88-4b63-a769-7122c800f59c · outbound

This paper cites Rasa: relation and sensitivity aware representation learning for text-based person search,.

Achieving Text-based Person Retrieval with Any Granularity Rasa: relation and sensitivity aware representation learning for text-based person search,

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This paper cites Hier- archical knowledge-guided reasoning for text-based person re- identification,.

Achieving Text-based Person Retrieval with Any Granularity Hier- archical knowledge-guided reasoning for text-based person re- identification,

Reference 61

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Achieving Text-based Person Retrieval with Any Granularity Instance-level feature bias calibration learning for text-to-image person re- identification,

Reference 62

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This paper cites degree in the School of Artificial Intelligence and Au- tomation, Huazhong University of Science and Technology, supervised by Prof.

Achieving Text-based Person Retrieval with Any Granularity degree in the School of Artificial Intelligence and Au- tomation, Huazhong University of Science and Technology, supervised by Prof

Reference 2020

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Observation ae47c0d8-d743-4837-b40f-d96707c079cd · outbound

This paper cites degree in the School of Artificial Intelligence and Au- tomation, Huazhong University of Science and Technology, supervised by Prof.

Achieving Text-based Person Retrieval with Any Granularity degree in the School of Artificial Intelligence and Au- tomation, Huazhong University of Science and Technology, supervised by Prof

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