CLIPVehicle: A Unified Framework for Vision-based Vehicle Search | Paper Citation Record

Observation 77e4c71b-78a2-4ae5-89ff-79bea1c3333b · outbound

This paper cites Multi-class vehicle detection using vdnet in heterogeneous traffic,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Multi-class vehicle detection using vdnet in heterogeneous traffic,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.259251Z

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Observation a5f2a1c5-e8e1-48d9-96d5-08c0c0318e71 · outbound

This paper cites A review of vehicle detection techniques for intelligent vehicles,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search A review of vehicle detection techniques for intelligent vehicles,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.244004Z

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Observation 86293777-3d39-472c-9a8c-d561f6c9fbcf · outbound

This paper cites Scale region recognition network for object counting in intelligent transportation system,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Scale region recognition network for object counting in intelligent transportation system,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.229107Z

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Observation 8fbe0ba8-6292-40ab-a15e-9189c8f4465b · outbound

This paper cites Nwpu-moc: A benchmark for fine-grained multi-category object counting in aerial images,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Nwpu-moc: A benchmark for fine-grained multi-category object counting in aerial images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.212869Z

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Observation b75fee5b-fb9f-4128-a997-fcb22288b6fe · outbound

This paper cites Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Bevformer: Learning bird’s-eye-view representation from multi-camera images via spatiotemporal transformers,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.197444Z

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Observation efea91c0-814a-4e69-9b7f-847f67c078fd · outbound

This paper cites Mutr3d: A multi- camera tracking framework via 3d-to-2d queries,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Mutr3d: A multi- camera tracking framework via 3d-to-2d queries,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.181633Z

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Observation 5544eb78-ec15-4ec9-ac74-7265e75d4cd5 · outbound

This paper cites Multimodality adaptive transformer and mutual learning for unsupervised domain adaptation vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Multimodality adaptive transformer and mutual learning for unsupervised domain adaptation vehicle re-identification,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.166860Z

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Observation e54d93aa-003e-43c0-8d9b-5175f3a372ca · outbound

This paper cites A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:57:13.538232Z

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Observation fa194961-c767-45ea-a743-c169f1ad58f8 · outbound

This paper cites Day-night cross-domain vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Day-night cross-domain vehicle re-identification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.152083Z

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Observation d1321cbc-305f-4fc1-9c7b-e3c2575e812e · outbound

This paper cites Beyond human-level license plate super-resolution with progressive vehicle search and domain priori gan,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Beyond human-level license plate super-resolution with progressive vehicle search and domain priori gan,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.135935Z

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Observation 9e7599fe-a474-4501-af89-38618e0f96ac · outbound

This paper cites Pvss: A progressive vehicle search system for video surveillance networks,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Pvss: A progressive vehicle search system for video surveillance networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.118946Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84dfc2eb-2fb9-4a0c-a4d5-b031356ae5a9 · outbound

This paper cites Person search by a bi-directional task-consistent learning model,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Person search by a bi-directional task-consistent learning model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.097224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b506f3b-cf34-4e65-b276-020ae311342d · outbound

This paper cites Person search challenges and solutions: A survey,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Person search challenges and solutions: A survey,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.081793Z

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Observation 72f0277c-5dc1-494c-ae9b-83660e8c34fd · outbound

This paper cites Transg: transformer-based skeleton graph pro- totype contrastive learning with structure-trajectory prompted recon- struction for person re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Transg: transformer-based skeleton graph pro- totype contrastive learning with structure-trajectory prompted recon- struction for person re-identification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.067452Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1570e1a-936a-4d08-ac0d-9f21c1080516 · outbound

This paper cites A Benchmark of Video-Based Clothes-Changing Person Re-Identification.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search A Benchmark of Video-Based Clothes-Changing Person Re-Identification

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:57:13.407912Z

Source-reported events for the cited work

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Observation b3adc782-d87d-4874-b298-2d77375fd75e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Learning transferable visual models from natural language supervision,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.051778Z

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Observation b3e75e7c-0035-40d2-8787-d431a696675e · outbound

This paper cites Learning to prompt for vision- language models,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Learning to prompt for vision- language models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:57:11.314736Z

Source-reported events for the cited work

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Observation dbe27b34-1781-4cff-9dbc-df301aecb3aa · outbound

This paper cites Ensemblenet: A hybrid approach for vehicle detection and estimation of traffic density based on faster r-cnn and yolo models,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Ensemblenet: A hybrid approach for vehicle detection and estimation of traffic density based on faster r-cnn and yolo models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.024212Z

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Observation d0fef22e-386b-4f42-b72d-ecbea8c1991b · outbound

This paper cites Robust and scalable vehicle re-identification via self-supervision,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Robust and scalable vehicle re-identification via self-supervision,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:15.008888Z

Source-reported events for the cited work

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Observation 046eda77-18f5-4b95-90bc-b81264651b1b · outbound

This paper cites Influence of avc and hevc compression on detection of vehicles through faster r-cnn,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Influence of avc and hevc compression on detection of vehicles through faster r-cnn,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.992565Z

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Observation 8d39570c-010f-4854-94ff-5ec06b1385ba · outbound

This paper cites Smart traffic management of vehicles using faster r-cnn based deep learning method,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Smart traffic management of vehicles using faster r-cnn based deep learning method,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.977540Z

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Observation ab42f317-37c6-4f1a-9862-0cb8db617d6d · outbound

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

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.963220Z

Source-reported events for the cited work

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Observation c23d4ee3-2045-46c5-8e3d-bed96f631a6d · outbound

This paper cites Yolo-fa: Type-1 fuzzy attention based yolo detector for vehicle detection,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Yolo-fa: Type-1 fuzzy attention based yolo detector for vehicle detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.948397Z

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Observation 886a2f04-fa0d-4582-84d0-405dc86c09e3 · outbound

This paper cites Lvd-yolo: An efficient lightweight vehicle detection model for intelligent transportation systems,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Lvd-yolo: An efficient lightweight vehicle detection model for intelligent transportation systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.933696Z

Source-reported events for the cited work

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Observation c26567ea-e1d9-467a-a7f4-39f0c0934f6f · outbound

This paper cites You only look once: Unified, real-time object detection,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search You only look once: Unified, real-time object detection,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.917124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e16c4558-b771-4354-9be6-31e77004e983 · outbound

This paper cites Ssd: Single shot multibox detector,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Ssd: Single shot multibox detector,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.902053Z

Source-reported events for the cited work

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Observation 5ec42d5c-7e47-4754-9ce1-7f9c5679aa78 · outbound

This paper cites Large-scale vehicle re-identification in urban surveillance videos,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Large-scale vehicle re-identification in urban surveillance videos,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.887252Z

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Observation 55d996b4-a3df-48de-9685-b2c8cbd80f4c · outbound

This paper cites Veri-wild: A large dataset and a new method for vehicle re-identification in the wild,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Veri-wild: A large dataset and a new method for vehicle re-identification in the wild,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.872638Z

Source-reported events for the cited work

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Observation 660c0d1b-b769-4deb-afc6-7a043a229665 · outbound

This paper cites Learning coarse- to-fine structured feature embedding for vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Learning coarse- to-fine structured feature embedding for vehicle re-identification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.857461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a224269-b579-448a-8da3-379cf9d3549f · outbound

This paper cites Global-local discrimi- native representation learning network for viewpoint-aware vehicle re- identification in intelligent transportation,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Global-local discrimi- native representation learning network for viewpoint-aware vehicle re- identification in intelligent transportation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.843269Z

Source-reported events for the cited work

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Observation 74773ea3-5f76-4a9a-b644-d91fb800088b · outbound

This paper cites Hetero- geneous context interaction network for vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Hetero- geneous context interaction network for vehicle re-identification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.827988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2afb7192-eb57-4597-94ac-98621092ea5a · outbound

This paper cites Relation preserving triplet mining for stabilising the triplet loss in re-identification systems,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Relation preserving triplet mining for stabilising the triplet loss in re-identification systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.813399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92e3fab0-d349-4d32-bc5f-c8c3d1c083b5 · outbound

This paper cites Camera-aware differentiated clustering with focal contrastive learning for unsupervised vehicle re- identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Camera-aware differentiated clustering with focal contrastive learning for unsupervised vehicle re- identification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.798836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 84317f50-feb0-4d6a-9f8f-89ffed4c8df4 · outbound

This paper cites A shortly and densely connected convolutional neural network for vehicle re- identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search A shortly and densely connected convolutional neural network for vehicle re- identification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.784365Z

Source-reported events for the cited work

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Observation 9a720068-1310-4e1f-89c1-68abe1f783ac · outbound

This paper cites Vehiclenet: Learning robust visual representation for vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Vehiclenet: Learning robust visual representation for vehicle re-identification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.768925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c6e9c83a-2e7e-4443-a840-fa92b572b46f · outbound

This paper cites Vehicle re-identification based on keypoint segmentation of original image,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Vehicle re-identification based on keypoint segmentation of original image,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.755275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5f084a48-d610-4031-82c3-bb5cf7e4bd8d · outbound

This paper cites Git: Graph interactive transformer for vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Git: Graph interactive transformer for vehicle re-identification,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.740685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 527c14fa-0821-48cf-a5da-9ea4ddfa8552 · outbound

This paper cites Weakly supervised contrastive learning for unsupervised vehicle reidentification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Weakly supervised contrastive learning for unsupervised vehicle reidentification,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.725824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f26efeb-314d-4c28-b5da-a0f3c1803d6b · outbound

This paper cites A benchmark for vehicle re-identification in mixed visible and infrared domains,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search A benchmark for vehicle re-identification in mixed visible and infrared domains,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.711242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f2c8b5e4-2b86-43d3-bda0-7375fc9e50be · outbound

This paper cites Attribute-based vehicle search in crowded surveillance videos,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Attribute-based vehicle search in crowded surveillance videos,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.695377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c868741-1083-4149-b323-9b4f8369c98e · outbound

This paper cites Sbnet: Segmentation-based network for natural language-based vehicle search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Sbnet: Segmentation-based network for natural language-based vehicle search,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.680723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b9d8d6b-4e7e-4213-b66a-6dc691b6a2fa · outbound

This paper cites Towards effective person search with deep learning: A survey from systematic perspective,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Towards effective person search with deep learning: A survey from systematic perspective,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.666490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ece48c2-d9f1-4bba-9b63-42ecaaf6f4fe · outbound

This paper cites Person search in a scene by jointly modeling people commonness and person uniqueness,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Person search in a scene by jointly modeling people commonness and person uniqueness,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.652478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3cbc43af-75e5-4dc2-847a-231a584f69dd · outbound

This paper cites Joint detection and identification feature learning for person search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Joint detection and identification feature learning for person search,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.638484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae511454-1de9-42c4-9932-46cd173d5897 · outbound

This paper cites Person re-identification in the wild,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Person re-identification in the wild,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.623974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa657e1d-4fe7-4a98-b916-41ef37295fb1 · outbound

This paper cites Tcts: A task- consistent two-stage framework for person search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Tcts: A task- consistent two-stage framework for person search,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.609854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff18fa69-ff5a-4f3f-a211-a10f0ce3a432 · outbound

This paper cites Norm-aware embedding for efficient person search and tracking,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Norm-aware embedding for efficient person search and tracking,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.596083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab1fdd2b-7b1a-4a35-b9f2-413a463a130f · outbound

This paper cites Bi-directional interaction network for person search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Bi-directional interaction network for person search,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.581520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b48b4c75-dc1a-4c62-a894-0d9a7b07d8e0 · outbound

This paper cites Sequential end-to-end network for efficient person search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Sequential end-to-end network for efficient person search,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.567082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 687bf323-4d0d-41c1-b963-c80c7114af3c · outbound

This paper cites Joint discriminative representation learning for end-to-end person search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Joint discriminative representation learning for end-to-end person search,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.552458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e857fc05-5695-4b79-80b4-ba2b1dcf6e1f · outbound

This paper cites Cdul: Clip- driven unsupervised learning for multi-label image classification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Cdul: Clip- driven unsupervised learning for multi-label image classification,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.537546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e7f4076-c965-48e7-ad6c-7233b650855c · outbound

This paper cites Ov- track: Open-vocabulary multiple object tracking,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Ov- track: Open-vocabulary multiple object tracking,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.522520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 418d5ac1-c443-4a3f-ad4b-7d636e57d312 · outbound

This paper cites Zegclip: Towards adapting clip for zero-shot semantic segmentation,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Zegclip: Towards adapting clip for zero-shot semantic segmentation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.505543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation efe659ab-b4ca-495c-a8fd-47f14365d6c6 · outbound

This paper cites Clip-reid: exploiting vision-language model for image re-identification without concrete text labels,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Clip-reid: exploiting vision-language model for image re-identification without concrete text labels,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.490922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7f6a0785-5228-4a00-9579-53d5271e84ef · outbound

This paper cites Unveiling the power of clip in unsupervised visible-infrared person re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Unveiling the power of clip in unsupervised visible-infrared person re-identification,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.474680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1af4d33-00d2-410e-8c7d-2d0d9fe12cb3 · outbound

This paper cites Attribute and state guided structural embedding network for vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Attribute and state guided structural embedding network for vehicle re-identification,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.459769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8450882a-ffda-453c-908f-7b37ac5de76b · outbound

This paper cites Aivr- net: Attribute-based invariant visual representation learning for vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Aivr- net: Attribute-based invariant visual representation learning for vehicle re-identification,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.444590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 593adc5e-ca47-4393-a0db-f00b509cc9a6 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Distilling the Knowledge in a Neural Network

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T00:57:12.665381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e95dc25-0d22-4a86-bc84-e8a8e25e9f97 · outbound

This paper cites Deep residual learning for image recognition,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Deep residual learning for image recognition,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T00:57:12.749901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12e99a3f-f456-4148-8af1-9678d1c112f5 · outbound

This paper cites Msinet: Twins contrastive search of multi-scale interaction for object reid,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Msinet: Twins contrastive search of multi-scale interaction for object reid,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.418054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 95f533f9-0168-477c-b47d-b2007efa9aa9 · outbound

This paper cites Strength in diversity: Multi-branch representation learning for vehicle re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Strength in diversity: Multi-branch representation learning for vehicle re-identification,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.400362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d153c97-42c3-43de-95dc-a5992cfc621e · outbound

This paper cites Cascade transformers for end-to-end person search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Cascade transformers for end-to-end person search,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.224390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a715fcba-bb64-4add-94c3-5f9b53874927 · outbound

This paper cites Oimnet++: Prototypical normalization and localization-aware learning for person search,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Oimnet++: Prototypical normalization and localization-aware learning for person search,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:14.054027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58032fe7-5662-4eb4-a485-049478ab1aff · outbound

This paper cites Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:13.834475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6fd93566-57bc-443f-bec9-f114d4746531 · outbound

This paper cites Synthehicle: Multi-vehicle multi-camera tracking in virtual cities,.

CLIPVehicle: A Unified Framework for Vision-based Vehicle Search Synthehicle: Multi-vehicle multi-camera tracking in virtual cities,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:57:13.691075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Reference resolution

Outbound references

Pith citing papers