VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale | Paper Citation Record

Observation 9821f85b-dd29-44af-85bf-fef6d3b38c67 · outbound

This paper cites Openstreetview-5m: The many roads to global visual geolocation.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Openstreetview-5m: The many roads to global visual geolocation

Reference 1

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Observation 1a55a4e6-c8e3-402a-9ae2-9ec7c4c77ed4 · outbound

This paper cites Qwen2.5-VL Technical Report.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Qwen2.5-VL Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:11:02.632798Z

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Observation 3fd33036-f77b-49b1-a299-20a85cc9c841 · outbound

This paper cites Is space-time attention all you need for video understanding? InICML, page 4.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Is space-time attention all you need for video understanding? InICML, page 4

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.045260Z

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Observation da7f6acc-bf63-4078-ae4b-7982894953ae · outbound

This paper cites GAEA: A Geolocation Aware Conversational Assistant.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale GAEA: A Geolocation Aware Conversational Assistant

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:02.494381Z

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Observation c2122a78-d0bb-40f5-b11a-77cb588ff1e0 · outbound

This paper cites Where we are and what we’re looking at: Query based worldwide image geo-localization using hierarchies and scenes.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Where we are and what we’re looking at: Query based worldwide image geo-localization using hierarchies and scenes

Reference 5

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Observation ffc09fbc-6f57-4d6e-a140-6e90acb196b1 · outbound

This paper cites Sam- ple4geo: Hard negative sampling for cross-view geo- localisation.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Sam- ple4geo: Hard negative sampling for cross-view geo- localisation

Reference 6

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Observation c036f975-cafb-4a28-9499-7f3beb61154a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:11:02.603817Z

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Observation be4df011-292c-41fb-aa99-18b756724f86 · outbound

This paper cites Computing discrete fr´echet distance.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Computing discrete fr´echet distance

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.172233Z

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Observation d23cbc21-faab-445a-9afa-89c86d3e583e · outbound

This paper cites Condition-Invariant Multi-View Place Recognition.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Condition-Invariant Multi-View Place Recognition

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:25:15.858185Z

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Observation 55b44c1c-fd3e-4e0e-8aec-8d7030a6bf22 · outbound

This paper cites Xi-net: Transformer based seismic waveform reconstructor.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Xi-net: Transformer based seismic waveform reconstructor

Reference 10

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Observation 3c10c8e7-8bb4-4281-8f47-2b13ce4005f1 · outbound

This paper cites Garg and M.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Garg and M

Reference 11

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Observation 56665802-6947-4fac-85f0-93985fa328d8 · outbound

This paper cites Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:02.576543Z

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Observation 96ca759c-4f90-4cdb-99c3-3d27c88bd6c2 · outbound

This paper cites Pigeon: Predicting image geolocations.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Pigeon: Predicting image geolocations

Reference 13

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Observation 9a479111-0507-4477-bef5-ea4e1bbd0590 · outbound

This paper cites Im2gps: estimating geo- graphic information from a single image.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Im2gps: estimating geo- graphic information from a single image

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.067130Z

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Observation 03e5c462-7415-4343-99bc-6759f32571ca · outbound

This paper cites Deep residual learning for image recognition.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Deep residual learning for image recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.083335Z

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Observation 55dc9d8d-b76a-48c8-8f65-269082db6759 · outbound

This paper cites Cvm-net: Cross-view matching network for image- based ground-to-aerial geo-localization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Cvm-net: Cross-view matching network for image- based ground-to-aerial geo-localization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.102957Z

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Observation 5e5972db-d612-4f8f-b392-f5b6e8154560 · outbound

This paper cites 3d convolu- tional neural networks for human action recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):221–231.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale 3d convolu- tional neural networks for human action recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(1):221–231

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.142349Z

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Observation 13bcc413-7249-4c48-a629-1ab9a34f42ff · outbound

This paper cites G3: an effective and adaptive framework for worldwide geolocalization using large multi- modality models.Advances in Neural Information Process- ing Systems, 37:53198–53221.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale G3: an effective and adaptive framework for worldwide geolocalization using large multi- modality models.Advances in Neural Information Process- ing Systems, 37:53198–53221

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.138969Z

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Observation 6677e735-906a-49ca-92cd-410ee9e88da7 · outbound

This paper cites GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-25T02:17:29.888408Z

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Observation 163fc47b-a675-4f99-bd49-ea567918cd2b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Adam: A Method for Stochastic Optimization

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:11:02.460366Z

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Observation 3f1962f3-88d3-423f-9f18-eeb2e1b08ab9 · outbound

This paper cites Cityguessr: City-level video geo-localization on a global scale.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Cityguessr: City-level video geo-localization on a global scale

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.031229Z

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Observation 7c511823-3dba-4130-9ad3-3511be810ce7 · outbound

This paper cites The benchmarking initiative for multimedia evaluation: Mediaeval 2016.IEEE MultiMedia, 24(1):93–96.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale The benchmarking initiative for multimedia evaluation: Mediaeval 2016.IEEE MultiMedia, 24(1):93–96

Reference 22

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Observation 01274798-9a51-49c0-95f5-5d84a2a1168a · outbound

This paper cites Handwritten digit recognition with a back- propagation network.Advances in neural information pro- cessing systems, 2.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Handwritten digit recognition with a back- propagation network.Advances in neural information pro- cessing systems, 2

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.187334Z

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Observation 87b2a349-d954-4524-b4b4-2af50db03fbe · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:14:58.269455Z

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Observation 4a8e8144-1f57-434e-8006-29e500f043c0 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474

Reference 25

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Observation b03ac706-e594-452d-b4c5-3eb4b6ee1af7 · outbound

This paper cites Georea- soner: Geo-localization with reasoning in street views using a large vision-language model.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Georea- soner: Geo-localization with reasoning in street views using a large vision-language model

Reference 26

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Observation 2acd3245-4478-447e-b102-5320ba74841c · outbound

This paper cites Lending orientation to neural networks for cross-view geo-localization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Lending orientation to neural networks for cross-view geo-localization

Reference 27

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Observation 8897277d-ba04-4959-add9-006dd37008d8 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Swin transformer: Hierarchical vision transformer using shifted windows

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.079906Z

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Observation b6855385-8d9a-4a44-9768-45d2ad88efde · outbound

This paper cites Mereu et al.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Mereu et al

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.092885Z

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Observation 861f9c45-f3e1-4a91-a776-29211e3b5701 · outbound

This paper cites ConGeo: Robust Cross-view Geo-localization across Ground View Variations.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale ConGeo: Robust Cross-view Geo-localization across Ground View Variations

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:02.482280Z

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Observation 37c45461-28c3-4851-a987-984b78ff0629 · outbound

This paper cites Mish: A Self Regularized Non-Monotonic Activation Function.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Mish: A Self Regularized Non-Monotonic Activation Function

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:02.509102Z

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Observation f34e7bd2-823e-40ec-82d0-0616c8c4bc54 · outbound

This paper cites Geolocation estimation of photos using a hierarchical model and scene classification.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Geolocation estimation of photos using a hierarchical model and scene classification

Reference 32

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Observation 24b1f072-89c6-4f16-8633-b5359be3dae7 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale DINOv2: Learning Robust Visual Features without Supervision

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:11:02.533673Z

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Observation b3b85a14-6bae-47a5-bf93-99ce3807da00 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32

Reference 34

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Observation 00a87966-ab28-4326-8f84-b13c0990575b · outbound

This paper cites an unresolved cited work.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-17T19:40:10.222582Z

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Observation cad4028c-8d36-4655-8526-8593bc8c7ead · outbound

This paper cites GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:02.554075Z

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Observation 4007da5c-8d6f-4e04-971f-3c55f3d308b6 · outbound

This paper cites Where in the world is this image? transformer-based geo-localization in the wild.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Where in the world is this image? transformer-based geo-localization in the wild

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.109949Z

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Observation 15d0c818-5d3a-4283-8b34-a77ef687ffdd · outbound

This paper cites an unresolved cited work.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Unresolved cited work

Reference 38

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Observation a8a7f8a7-6a94-43a8-835c-a7daf8529522 · outbound

This paper cites Language models are unsu- pervised multitask learners.OpenAI blog, 1(8):9.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Language models are unsu- pervised multitask learners.OpenAI blog, 1(8):9

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.001694Z

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Observation 5e9c9d57-4ce9-447c-a5b6-e22e3525e226 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Learning transferable visual models from natural language supervi- sion

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.035218Z

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Observation 6346e42f-a180-4f8e-8bd5-1223262c1247 · outbound

This paper cites Cross-view image synthesis using geometry-guided conditional gans.Computer Vision and Image Understanding, 187:102788.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Cross-view image synthesis using geometry-guided conditional gans.Computer Vision and Image Understanding, 187:102788

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.021116Z

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Observation ecbc984a-5752-4bba-875d-53922bbbd48b · outbound

This paper cites Bridging the domain gap for ground-to-aerial image matching.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Bridging the domain gap for ground-to-aerial image matching

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.129142Z

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Observation c954a814-41de-47c3-aa98-1ba7a6adc2ce · outbound

This paper cites Video geo-localization employing geo-temporal feature learning and gps trajectory smoothing.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Video geo-localization employing geo-temporal feature learning and gps trajectory smoothing

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.152554Z

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Observation 60b8ce06-2bd4-40ac-90f0-b0bbbf2f6c16 · outbound

This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.038925Z

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Observation a83425b5-1d6f-415a-aa33-05099ddd9db5 · outbound

This paper cites The equal earth map projection.International Journal of Geographical Information Science, 33(3):454–465.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale The equal earth map projection.International Journal of Geographical Information Science, 33(3):454–465

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.106328Z

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Observation 7609aa96-2979-4323-96e7-1e6cda7e7f9f · outbound

This paper cites Cplanet: Enhancing image geolocalization by combi- natorial partitioning of maps.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Cplanet: Enhancing image geolocalization by combi- natorial partitioning of maps

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.064010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9028f369-62f3-49d5-9da8-c3a6d1d582df · outbound

This paper cites Gt-loc: Unifying when and where in images through a joint embedding space.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Gt-loc: Unifying when and where in images through a joint embedding space

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.042196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 823c50c6-4260-4fd3-9e01-908a4c89ef17 · outbound

This paper cites Where am i looking at? joint location and orientation es- timation by cross-view matching.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Where am i looking at? joint location and orientation es- timation by cross-view matching

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.214020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9ca934de-886f-46a9-a3db-e6b8b9db1d1f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:11:02.623353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06d2f80a-f05e-4ef0-96b6-9c9916363398 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimen- 10 sional domains.Advances in neural information processing systems, 33:7537–7547.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Fourier features let networks learn high frequency functions in low dimen- 10 sional domains.Advances in neural information processing systems, 33:7537–7547

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.074386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2d558be8-832b-4f80-992e-37ecacc0240a · outbound

This paper cites Coming down to earth: Satellite-to-street view synthesis for geo-localization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Coming down to earth: Satellite-to-street view synthesis for geo-localization

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.218699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8eee83f0-6d0f-486a-aab2-153a7765bd65 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.099804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b27accaf-d40c-48e5-8fa2-3f87ccdcb63e · outbound

This paper cites City scale geo-spatial trajectory estimation of a mov- ing camera.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale City scale geo-spatial trajectory estimation of a mov- ing camera

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.180087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a69a32f8-0f82-4aec-bbb6-37417e906c5b · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Attention is all you need.Advances in neural information processing systems, 30

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.191044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4fe7ce10-1093-4f8f-bcb4-4bab0f93d6d0 · outbound

This paper cites Geoclip: Clip-inspired alignment be- tween locations and images for effective worldwide geo- localization.Advances in Neural Information Processing Systems, 36.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Geoclip: Clip-inspired alignment be- tween locations and images for effective worldwide geo- localization.Advances in Neural Information Processing Systems, 36

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.113453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d9891760-cd4f-4c25-b0f1-cb89b3e8581b · outbound

This paper cites Revisiting im2gps in the deep learning era.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Revisiting im2gps in the deep learning era

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.017112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48c0d0e8-887d-45b8-b7a4-da094bfa119f · outbound

This paper cites Gama: Cross- view video geo-localization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Gama: Cross- view video geo-localization

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.149366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6d3b66e-279a-44ea-ab44-187aabe4edd5 · outbound

This paper cites fairseq S2T: Fast Speech-to-Text Modeling with fairseq.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale fairseq S2T: Fast Speech-to-Text Modeling with fairseq

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:11:02.475816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2c1ae000-a86e-4095-a839-ba23421e9284 · outbound

This paper cites Mapillary street-level sequences: A dataset for lifelong place recognition.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Mapillary street-level sequences: A dataset for lifelong place recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.145808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1f7fb1da-ddf5-405a-9384-836c28c90bb7 · outbound

This paper cites Planet- photo geolocation with convolutional neural networks.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Planet- photo geolocation with convolutional neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:09.986691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0ef8d27-5505-4395-bbfc-7781fa5e8317 · outbound

This paper cites Wide-area image geolocalization with aerial reference im- agery.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Wide-area image geolocalization with aerial reference im- agery

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.226812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cafbd990-faf6-46d0-be3d-7b42a12adb31 · outbound

This paper cites Cross-view geo-localization with layer-to-layer transformer.Advances in Neural Information Processing Systems, 34:29009–29020.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Cross-view geo-localization with layer-to-layer transformer.Advances in Neural Information Processing Systems, 34:29009–29020

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.117156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b93c00ac-06f6-40fb-b1b1-fc65248d2931 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.123217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a21ee39c-aa93-4b00-ab25-1d476df4c22f · outbound

This paper cites Sigmoid loss for language image pre-training.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Sigmoid loss for language image pre-training

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:09.991174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7a8910d8-cbdc-4c87-a9d2-d677adfc32b5 · outbound

This paper cites Places: A 10 million image database for scene recognition.IEEE transactions on pattern analysis and machine intelligence, 40(6):1452–1464.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Places: A 10 million image database for scene recognition.IEEE transactions on pattern analysis and machine intelligence, 40(6):1452–1464

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.025548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0bb0feb4-d82f-456f-92de-d1488567abda · outbound

This paper cites Vigor: Cross- view image geo-localization beyond one-to-one retrieval.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Vigor: Cross- view image geo-localization beyond one-to-one retrieval

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.132450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cbc85809-bd1f-42a7-a566-30467dc98112 · outbound

This paper cites Transgeo: Trans- former is all you need for cross-view image geo-localization.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Transgeo: Trans- former is all you need for cross-view image geo-localization

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.012305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 92610c0a-e5e4-4013-a3b9-7c1106e3914d · outbound

This paper cites (If there are a few outliers they can be skipped).

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale (If there are a few outliers they can be skipped)

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.155922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d199c9e3-30a7-4208-804d-29887df72c1e · outbound

This paper cites Also determine the resolution of the gallery (the finer the resolution the larger the gallery.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Also determine the resolution of the gallery (the finer the resolution the larger the gallery

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.061056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9cbe8649-66c7-43f7-a667-ea0f06c67315 · outbound

This paper cites an unresolved cited work.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-05-17T19:40:10.163421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c435deef-c37f-4bf1-86d3-45a90f1bd3f6 · outbound

This paper cites an unresolved cited work.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-05-17T19:40:10.051430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 195641ed-dd49-40fc-b644-3b5ea8d5dc7e · outbound

This paper cites an unresolved cited work.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-05-17T19:40:10.048329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 136c5760-b6e2-4eb2-bf6e-119bbc178dde · outbound

This paper cites an unresolved cited work.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-05-17T19:40:10.057871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0cad1e0b-cc1a-40c9-8486-34ea4535f529 · outbound

This paper cites This will serve as the ground truth label of the entire video sequence.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale This will serve as the ground truth label of the entire video sequence

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.008356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 15fbe9a9-3b93-4cd1-90d2-6b31552ebd1d · outbound

This paper cites Obtain the prediction that is closest to this centroid (this reduces error due to out- liers).

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Obtain the prediction that is closest to this centroid (this reduces error due to out- liers)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.159738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8a51bb11-ed4c-4ee0-87ab-147c1f016444 · outbound

This paper cites Compute distance accuracy at all thresholds using this distance measure.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Compute distance accuracy at all thresholds using this distance measure

Reference 76

Resolution: malformed identifier; raw_fallback, observed 2026-05-17T19:40:10.070759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba5aa688-d127-4f94-847f-84ac4469a9fd · outbound

This paper cites an unresolved cited work.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-05-17T19:40:10.077000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 223f54a2-361b-4743-8715-79ccff5c4253 · outbound

This paper cites (b) As CityGuessr68k is very large, we sample the data in such a way that the number of sequences is roughly equivalent to MSLS.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale (b) As CityGuessr68k is very large, we sample the data in such a way that the number of sequences is roughly equivalent to MSLS

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:09.998205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba8e19a2-9419-4371-806c-7e885756aa3b · outbound

This paper cites We train a model on this unified data for 200 epochs at an learning rate decay rate of 0.97.

VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale We train a model on this unified data for 200 epochs at an learning rate decay rate of 0.97

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T19:40:10.004948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers