Locality Preserving Markovian Transition for Instance Retrieval | Paper Citation Record

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Locality Preserving Markovian Transition for Instance Retrieval write newline

Reference 1

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This paper cites and Zisserman, A.

Locality Preserving Markovian Transition for Instance Retrieval and Zisserman, A

Reference 2

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This paper cites Self- RAG : Learning to retrieve, generate, and critique through self-reflection.

Locality Preserving Markovian Transition for Instance Retrieval Self- RAG : Learning to retrieve, generate, and critique through self-reflection

Reference 3

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This paper cites and Bai, X.

Locality Preserving Markovian Transition for Instance Retrieval and Bai, X

Reference 4

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Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 5

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This paper cites J., and Tian, Q.

Locality Preserving Markovian Transition for Instance Retrieval J., and Tian, Q

Reference 6

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Reference 7

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This paper cites H., and Latecki, L.

Locality Preserving Markovian Transition for Instance Retrieval H., and Latecki, L

Reference 8

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This paper cites J., and Tian, Q.

Locality Preserving Markovian Transition for Instance Retrieval J., and Tian, Q

Reference 9

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Reference 10

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Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 11

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This paper cites Unifying deep local and global features for image search.

Locality Preserving Markovian Transition for Instance Retrieval Unifying deep local and global features for image search

Reference 12

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This paper cites Explore-exploit graph traversal for image retrieval.

Locality Preserving Markovian Transition for Instance Retrieval Explore-exploit graph traversal for image retrieval

Reference 13

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This paper cites Benchmarking large language models in retrieval-augmented generation.

Locality Preserving Markovian Transition for Instance Retrieval Benchmarking large language models in retrieval-augmented generation

Reference 14

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This paper cites Total recall: Automatic query expansion with a generative feature model for object retrieval.

Locality Preserving Markovian Transition for Instance Retrieval Total recall: Automatic query expansion with a generative feature model for object retrieval

Reference 15

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This paper cites Sinkd: Sinkhorn distance minimization for knowledge distillation.

Locality Preserving Markovian Transition for Instance Retrieval Sinkd: Sinkhorn distance minimization for knowledge distillation

Reference 16

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This paper cites Sinkhorn distance minimization for knowledge distillation.

Locality Preserving Markovian Transition for Instance Retrieval Sinkhorn distance minimization for knowledge distillation

Reference 17

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This paper cites Optical: Leveraging optimal transport for contribution allocation in dataset distillation.

Locality Preserving Markovian Transition for Instance Retrieval Optical: Leveraging optimal transport for contribution allocation in dataset distillation

Reference 18

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This paper cites Layoutenc: Leveraging enhanced layout representations for transformer-based complex scene synthesis.

Locality Preserving Markovian Transition for Instance Retrieval Layoutenc: Leveraging enhanced layout representations for transformer-based complex scene synthesis

Reference 19

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This paper cites Multi-level optimal transport for universal cross-tokenizer knowledge distillation on language models.

Locality Preserving Markovian Transition for Instance Retrieval Multi-level optimal transport for universal cross-tokenizer knowledge distillation on language models

Reference 20

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This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Locality Preserving Markovian Transition for Instance Retrieval Sinkhorn distances: Lightspeed computation of optimal transport

Reference 21

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This paper cites and Doucet, A.

Locality Preserving Markovian Transition for Instance Retrieval and Doucet, A

Reference 22

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This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Locality Preserving Markovian Transition for Instance Retrieval BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 23

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Locality Preserving Markovian Transition for Instance Retrieval and Bischof, H

Reference 24

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This paper cites J., Cohen, E.

Locality Preserving Markovian Transition for Instance Retrieval J., Cohen, E

Reference 25

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This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

Locality Preserving Markovian Transition for Instance Retrieval Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 26

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This paper cites Predict then propagate: Graph neural networks meet personalized pagerank.

Locality Preserving Markovian Transition for Instance Retrieval Predict then propagate: Graph neural networks meet personalized pagerank

Reference 27

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This paper cites End-to-end learning of deep visual representations for image retrieval.

Locality Preserving Markovian Transition for Instance Retrieval End-to-end learning of deep visual representations for image retrieval

Reference 28

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This paper cites Attention-based query expansion learning.

Locality Preserving Markovian Transition for Instance Retrieval Attention-based query expansion learning

Reference 29

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This paper cites Pyretri: A pytorch-based library for unsupervised image retrieval by deep convolutional neural networks.

Locality Preserving Markovian Transition for Instance Retrieval Pyretri: A pytorch-based library for unsupervised image retrieval by deep convolutional neural networks

Reference 30

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This paper cites Efficient diffusion on region manifolds: Recovering small objects with compact cnn representations.

Locality Preserving Markovian Transition for Instance Retrieval Efficient diffusion on region manifolds: Recovering small objects with compact cnn representations

Reference 31

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Locality Preserving Markovian Transition for Instance Retrieval Fast spectral ranking for similarity search

Reference 32

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Locality Preserving Markovian Transition for Instance Retrieval Stochastic thermodynamic interpretation of information geometry

Reference 33

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This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Locality Preserving Markovian Transition for Instance Retrieval Scaling up visual and vision-language representation learning with noisy text supervision

Reference 34

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This paper cites A contextual dissimilarity measure for accurate and efficient image search.

Locality Preserving Markovian Transition for Instance Retrieval A contextual dissimilarity measure for accurate and efficient image search

Reference 35

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This paper cites Aggregating local image descriptors into compact codes.

Locality Preserving Markovian Transition for Instance Retrieval Aggregating local image descriptors into compact codes

Reference 36

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This paper cites Self-taught metric learning without labels.

Locality Preserving Markovian Transition for Instance Retrieval Self-taught metric learning without labels

Reference 37

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Locality Preserving Markovian Transition for Instance Retrieval Correlation verification for image retrieval

Reference 38

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This paper cites Revisiting self-similarity: Structural embedding for image retrieval.

Locality Preserving Markovian Transition for Instance Retrieval Revisiting self-similarity: Structural embedding for image retrieval

Reference 39

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Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 40

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

Locality Preserving Markovian Transition for Instance Retrieval BLIP : Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 41

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Locality Preserving Markovian Transition for Instance Retrieval BLIP -2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 42

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This paper cites Supervised metric learning to rank for retrieval via contextual similarity optimization.

Locality Preserving Markovian Transition for Instance Retrieval Supervised metric learning to rank for retrieval via contextual similarity optimization

Reference 43

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Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 44

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Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 45

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Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 46

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Observation 3e1bb7cb-c07b-49d4-955b-4e2c99888fc7 · outbound

This paper cites Cluster-aware similarity diffusion for instance retrieval.

Locality Preserving Markovian Transition for Instance Retrieval Cluster-aware similarity diffusion for instance retrieval

Reference 47

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This paper cites Large-scale image retrieval with attentive deep local features.

Locality Preserving Markovian Transition for Instance Retrieval Large-scale image retrieval with attentive deep local features

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.804558Z

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Observation b7a9eba6-91fd-4c78-8c84-a4d1d7ced5cb · outbound

This paper cites Contextual similarity aggregation with self-attention for visual re-ranking.

Locality Preserving Markovian Transition for Instance Retrieval Contextual similarity aggregation with self-attention for visual re-ranking

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.794408Z

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This paper cites Object retrieval with large vocabularies and fast spatial matching.

Locality Preserving Markovian Transition for Instance Retrieval Object retrieval with large vocabularies and fast spatial matching

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.784152Z

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Observation 9455c4fc-8381-4aa2-8660-5e2e7ebadc3b · outbound

This paper cites Lost in quantization: Improving particular object retrieval in large scale image databases.

Locality Preserving Markovian Transition for Instance Retrieval Lost in quantization: Improving particular object retrieval in large scale image databases

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.773950Z

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This paper cites R., and Tudisco, F.

Locality Preserving Markovian Transition for Instance Retrieval R., and Tudisco, F

Reference 52

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This paper cites and Torralba, A.

Locality Preserving Markovian Transition for Instance Retrieval and Torralba, A

Reference 53

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Observation 196c1abc-4f29-4592-81d7-32a80169639c · outbound

This paper cites Revisiting oxford and paris: Large-scale image retrieval benchmarking.

Locality Preserving Markovian Transition for Instance Retrieval Revisiting oxford and paris: Large-scale image retrieval benchmarking

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.743661Z

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Observation 938ce42d-28bc-4776-9260-6dc51fa2132d · outbound

This paper cites Fine-tuning cnn image retrieval with no human annotation.

Locality Preserving Markovian Transition for Instance Retrieval Fine-tuning cnn image retrieval with no human annotation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.730851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6bb70f26-1d1c-4f88-8a79-7ba05d0b4dfc · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

Locality Preserving Markovian Transition for Instance Retrieval W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.719268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dddcee80-9e38-4107-9a45-f40d70b3fbb9 · outbound

This paper cites S., Schumann, A., Eberle, A., and Stiefelhagen, R.

Locality Preserving Markovian Transition for Instance Retrieval S., Schumann, A., Eberle, A., and Stiefelhagen, R

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.705641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4386c37e-439e-450e-b479-7b48040e6113 · outbound

This paper cites Stochastic thermodynamics, fluctuation theorems and molecular machines.

Locality Preserving Markovian Transition for Instance Retrieval Stochastic thermodynamics, fluctuation theorems and molecular machines

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.691836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 16c32f9f-960e-428d-bbd2-f4448974c2fd · outbound

This paper cites Global features are all you need for image retrieval and reranking.

Locality Preserving Markovian Transition for Instance Retrieval Global features are all you need for image retrieval and reranking

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.678328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44bb20f1-6891-47d8-a203-62099d10db6b · outbound

This paper cites Object retrieval and localization with spatially-constrained similarity measure and k-nn re-ranking.

Locality Preserving Markovian Transition for Instance Retrieval Object retrieval and localization with spatially-constrained similarity measure and k-nn re-ranking

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.665867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 76058a36-221c-4aa2-8d39-c6e6293bc30f · outbound

This paper cites X., Sbai, O., and Aubry, M.

Locality Preserving Markovian Transition for Instance Retrieval X., Sbai, O., and Aubry, M

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.652193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 380943af-a20e-4b8d-ae2f-0c11d3166c33 · outbound

This paper cites S., Tang, M., Sun, R., Yoon, J., Arik, S.

Locality Preserving Markovian Transition for Instance Retrieval S., Tang, M., Sun, R., Yoon, J., Arik, S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.636719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48a507c2-f8ca-49d6-a43c-69da54464168 · outbound

This paper cites BEIR : A heterogeneous benchmark for zero-shot evaluation of information retrieval models.

Locality Preserving Markovian Transition for Instance Retrieval BEIR : A heterogeneous benchmark for zero-shot evaluation of information retrieval models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.624631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0bafda5a-b9f2-495b-b205-289870eb976d · outbound

This paper cites Particular object retrieval with integral max-pooling of cnn activations.

Locality Preserving Markovian Transition for Instance Retrieval Particular object retrieval with integral max-pooling of cnn activations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.612170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a97ac7ee-31aa-459d-8d39-3693215002af · outbound

This paper cites and Saito, K.

Locality Preserving Markovian Transition for Instance Retrieval and Saito, K

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.599585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0910b85-346b-4436-ae0a-92d762429e15 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset, 2011.

Locality Preserving Markovian Transition for Instance Retrieval The caltech-ucsd birds-200-2011 dataset, 2011

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.586813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a04028bd-c5b6-4a68-9f33-69c8fdcfc38f · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding, 2023.

Locality Preserving Markovian Transition for Instance Retrieval C-pack: Packaged resources to advance general chinese embedding, 2023

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T10:34:04.275526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18e8db3-22a6-41f6-9790-9fc69540cd28 · outbound

This paper cites Efficient image retrieval via decoupling diffusion into online and offline processing.

Locality Preserving Markovian Transition for Instance Retrieval Efficient image retrieval via decoupling diffusion into online and offline processing

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.565203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b32e702-b95f-44cb-aca8-8578f7602add · outbound

This paper cites Dolg: Single-stage image retrieval with deep orthogonal fusion of local and global features.

Locality Preserving Markovian Transition for Instance Retrieval Dolg: Single-stage image retrieval with deep orthogonal fusion of local and global features

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.551342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bedaf86b-3edb-420e-957d-95bd9bba7391 · outbound

This paper cites an unresolved cited work.

Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:34:04.539054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1ae3911-9a69-4c5b-a9ae-477cc70a8343 · outbound

This paper cites an unresolved cited work.

Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:34:04.526656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f41b29d6-5835-494f-8175-39271d8b0b0d · outbound

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

Locality Preserving Markovian Transition for Instance Retrieval FILIP : Fine-grained interactive language-image pre-training

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.513288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc59a75b-1228-48fe-aecd-cb823c5a27a3 · outbound

This paper cites Contextually affinitive neighborhood refinery for deep clustering.

Locality Preserving Markovian Transition for Instance Retrieval Contextually affinitive neighborhood refinery for deep clustering

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.500061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29691f78-f89d-4140-b0bd-9b352b090b8b · outbound

This paper cites an unresolved cited work.

Locality Preserving Markovian Transition for Instance Retrieval Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:34:04.485989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f897e078-9a7c-4182-b0ff-a35e7951dd48 · outbound

This paper cites Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective.

Locality Preserving Markovian Transition for Instance Retrieval Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T10:34:04.357725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52995694-43f5-40d7-b145-0d2aafc2cc80 · outbound

This paper cites Graph convolution based efficient re-ranking for visual retrieval.

Locality Preserving Markovian Transition for Instance Retrieval Graph convolution based efficient re-ranking for visual retrieval

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.473263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a571e44-b77d-4485-b19d-60fccc7eb7bb · outbound

This paper cites Re-ranking person re-identification with k-reciprocal encoding.

Locality Preserving Markovian Transition for Instance Retrieval Re-ranking person re-identification with k-reciprocal encoding

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.460110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6864b014-5bc1-4c40-b68e-f77eba079219 · outbound

This paper cites Ranking on data manifolds.

Locality Preserving Markovian Transition for Instance Retrieval Ranking on data manifolds

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.446504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6cd3cbe-7dd4-4cdf-bcb0-c228bfd6a854 · outbound

This paper cites Fusion with diffusion for robust visual tracking.

Locality Preserving Markovian Transition for Instance Retrieval Fusion with diffusion for robust visual tracking

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:34:04.431639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

Outbound references

Pith citing papers