Paper Citation Record · LEDGER

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution

As of 22 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2506.14511.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.14511 v1

Coverage vector

measured 69 of 69 reference resolution

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:43:17.850781Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T16:13:42.113369Z

Reference resolution

69 of 69 outbound references displayed

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External citation measurements

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Outbound references

Observation fbf9a288-10e1-444d-86ec-7d2afd59affa · outbound

This paper cites Video-based facial micro-expression analysis: A survey of datasets, features and algorithms,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Video-based facial micro-expression analysis: A survey of datasets, features and algorithms,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:48.277255Z

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Observation 2ab6f79e-e4a5-4908-8a87-396b6cc2bff3 · outbound

This paper cites Ekman,Telling lies: Clues to deceit in the marketplace, politics, and marriage (revised edition).

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Ekman,Telling lies: Clues to deceit in the marketplace, politics, and marriage (revised edition)

Reference 2

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Observation de161b1c-8045-41a5-8df6-3f5b9e89c2ae · outbound

This paper cites Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Cross-domain facial expression recognition: A unified evaluation benchmark and adversarial graph learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:48.025721Z

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Observation a1245ced-2516-40f7-8c05-b12bd7543664 · outbound

This paper cites Fa- cial action unit detection by adaptively constraining self-attention and causally deconfounding sample,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Fa- cial action unit detection by adaptively constraining self-attention and causally deconfounding sample,

Reference 4

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Observation e26e28f3-ab4a-40f0-b1b2-9d9b634b45a6 · outbound

This paper cites How fast are the leaked facial expressions: The duration of micro-expressions,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution How fast are the leaked facial expressions: The duration of micro-expressions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:47.632368Z

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Observation 9e9f81fe-09ac-4e99-adc5-55cb920577d1 · outbound

This paper cites His- tograms of oriented optical flow and binet-cauchy kernels on non- linear dynamical systems for the recognition of human actions,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution His- tograms of oriented optical flow and binet-cauchy kernels on non- linear dynamical systems for the recognition of human actions,

Reference 6

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Observation d0fe55d3-fb2e-47c1-9ef1-b2d86e19e72d · outbound

This paper cites Dynamic texture recognition using local binary patterns with an application to facial expressions,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Dynamic texture recognition using local binary patterns with an application to facial expressions,

Reference 7

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Observation 459e369d-98ee-4508-bb26-70d48f59c8d9 · outbound

This paper cites Micro-facial movement detection using individualised baselines and histogram-based de- scriptors,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Micro-facial movement detection using individualised baselines and histogram-based de- scriptors,

Reference 8

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Observation da08ef9e-6d30-4330-8d51-25c7b17da7d3 · outbound

This paper cites Towards reading hidden emotions: A compara- tive study of spontaneous micro-expression spotting and recog- nition methods,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Towards reading hidden emotions: A compara- tive study of spontaneous micro-expression spotting and recog- nition methods,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:46.810006Z

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Observation a8de1c35-92a3-4c13-92da-a76c3037d867 · outbound

This paper cites Less is more: Micro-expression recognition from video using apex frame,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Less is more: Micro-expression recognition from video using apex frame,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:46.621259Z

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Observation ec5f2594-b603-4e87-b830-44b868ae8853 · outbound

This paper cites Enriched long- term recurrent convolutional network for facial micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Enriched long- term recurrent convolutional network for facial micro-expression recognition,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:46.465795Z

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Observation 9d120c0f-a030-4526-baf6-3237ee8fd9c6 · outbound

This paper cites Sponta- neous facial micro-expression recognition using 3d spatiotemporal convolutional neural networks,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Sponta- neous facial micro-expression recognition using 3d spatiotemporal convolutional neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:46.302450Z

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Observation 848efed2-d81d-407e-804d-56f42db422c9 · outbound

This paper cites Learning from macro- expression: a micro-expression recognition framework,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Learning from macro- expression: a micro-expression recognition framework,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:46.078845Z

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Observation eabd2ed4-08fa-4009-9280-f0bb6850a76d · outbound

This paper cites Learning effective binary descriptors for micro-expression recognition transferred by macro-information,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Learning effective binary descriptors for micro-expression recognition transferred by macro-information,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:45.906684Z

Source-reported events for the cited work

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Observation 0ab2e1ac-6067-4a54-90e7-72c7ed0eb897 · outbound

This paper cites Efficient spatio- temporal local binary patterns for spontaneous facial micro- expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Efficient spatio- temporal local binary patterns for spontaneous facial micro- expression recognition,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:45.712792Z

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Observation 60e58279-383f-4974-9d8b-975f27092d70 · outbound

This paper cites Fuzzy histogram of optical flow orientations for micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Fuzzy histogram of optical flow orientations for micro-expression recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:45.550667Z

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Observation 3bd5b738-9c5a-4702-a87b-54719c397e47 · outbound

This paper cites A novel graph-tcn with a graph structured representation for micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution A novel graph-tcn with a graph structured representation for micro-expression recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:45.378201Z

Source-reported events for the cited work

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Observation 9b756146-d613-4928-bc41-c5b7dde5c792 · outbound

This paper cites A novel micro-expression recognition approach using attention- based magnification-adaptive networks,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution A novel micro-expression recognition approach using attention- based magnification-adaptive networks,

Reference 18

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Observation 88b699e3-0c4c-46a3-8f8b-2f4a393b1e1b · outbound

This paper cites Multi- scale promoted self-adjusting correlation learning for facial action unit detection,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Multi- scale promoted self-adjusting correlation learning for facial action unit detection,

Reference 19

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Observation 55fc6bc5-bce5-472d-996f-8a661025d3c9 · outbound

This paper cites Auformer: Vision transformers are parameter-efficient facial action unit de- tectors,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Auformer: Vision transformers are parameter-efficient facial action unit de- tectors,

Reference 20

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Observation c504abef-1990-4eea-a82f-dbb564c200cb · outbound

This paper cites Au-assisted graph attention convolutional network for micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Au-assisted graph attention convolutional network for micro-expression recognition,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.577795Z

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Observation 31ad62f8-fa08-4ea1-bb31-8a36031aacb3 · outbound

This paper cites Learnet: Dynamic imaging network for micro expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Learnet: Dynamic imaging network for micro expression recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.383370Z

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Observation 52a1c20f-dc87-4bbe-9731-8723d59a3489 · outbound

This paper cites Geme: Dual-stream multi-task gender-based micro-expression recogni- tion,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Geme: Dual-stream multi-task gender-based micro-expression recogni- tion,

Reference 23

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Observation f68b3d32-16e1-4361-815e-eeffcbce50f3 · outbound

This paper cites Dual-inception network for cross- database micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Dual-inception network for cross- database micro-expression recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:44.022801Z

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Observation 1cec2280-5252-4c8c-a3d6-fb0be39ea33e · outbound

This paper cites Identity- invariant representation and transformer-style relation for micro- expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Identity- invariant representation and transformer-style relation for micro- expression recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.838163Z

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Observation b5884443-7a14-4fa8-95a0-43409d913f4f · outbound

This paper cites Multi-task micro- expression recognition combining deep and handcrafted features,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Multi-task micro- expression recognition combining deep and handcrafted features,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.684502Z

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Observation 2a33b936-f5c3-4293-b38f-42122ec44be2 · outbound

This paper cites Handbook of digital signal processing: Engineering applications,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Handbook of digital signal processing: Engineering applications,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.506202Z

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Observation e4ccc560-5760-4254-a839-bfe5362275ea · outbound

This paper cites Attention is all you need,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Attention is all you need,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.290328Z

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Observation 5f91bf36-9186-4cca-8993-0f6ebe5abd70 · outbound

This paper cites Spectral networks and deep locally connected networks on graphs,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Spectral networks and deep locally connected networks on graphs,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:43.035029Z

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Observation 92beb444-093f-4e12-923b-25dbfa10f925 · outbound

This paper cites Deep residual learning for image recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Deep residual learning for image recognition,

Reference 30

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Observation 52605883-c44e-4038-bfcb-f60f1696186d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:42.488525Z

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This paper cites Interpretable convolutional neural networks,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Interpretable convolutional neural networks,

Reference 32

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Observation d4a91700-c23f-445c-b20b-f8bcd02ac1d4 · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Dynamic graph cnn for learning on point clouds,

Reference 33

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This paper cites Nearest neighbor pattern classification,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Nearest neighbor pattern classification,

Reference 34

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This paper cites Rectified linear units improve restricted boltzmann machines,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Rectified linear units improve restricted boltzmann machines,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.525159Z

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Observation 99b58d87-d83c-4e02-b893-b4c11f9257a7 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Flownet: Learning optical flow with convolutional networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.307104Z

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Observation 0aade927-e9a7-4d46-8e60-e34d5897feed · outbound

This paper cites Deep multi-center learning for face alignment,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Deep multi-center learning for face alignment,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:41.169121Z

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Observation 5d736701-340a-4c95-8676-4d2e6248878a · outbound

This paper cites J ˆaa-net: Joint facial action unit detection and face alignment via adaptive attention,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution J ˆaa-net: Joint facial action unit detection and face alignment via adaptive attention,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.941905Z

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Observation 86618866-fc77-4e31-9635-497f4e3d56c9 · outbound

This paper cites Casme ii: An improved spontaneous micro-expression database and the baseline evaluation,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Casme ii: An improved spontaneous micro-expression database and the baseline evaluation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.713135Z

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Observation ce9b1a71-43a2-45d6-a539-4c557e399256 · outbound

This paper cites Samm: A spontaneous micro-facial movement dataset,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Samm: A spontaneous micro-facial movement dataset,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.509848Z

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Observation b051932a-fe8f-4f5d-9f93-4b662cfd81cc · outbound

This paper cites A spontaneous micro-expression database: Inducement, collection and baseline,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution A spontaneous micro-expression database: Inducement, collection and baseline,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.355778Z

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Observation 33bd24c2-c971-41e0-8b97-342832708a42 · outbound

This paper cites Dlib-ml: A machine learning toolkit,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Dlib-ml: A machine learning toolkit,

Reference 42

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Source-reported events for the cited work

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Observation 2acd57a5-22f5-4343-ae4d-074fcfb3da7e · outbound

This paper cites One millisecond face alignment with an ensemble of regression trees,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution One millisecond face alignment with an ensemble of regression trees,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:40.147450Z

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Observation 6a0c95dc-2e9d-4161-a12f-3136289f666e · outbound

This paper cites A duality based approach for realtime tv-l 1 optical flow,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution A duality based approach for realtime tv-l 1 optical flow,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:39.896155Z

Source-reported events for the cited work

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Observation 1ea9fde1-23fa-456b-bc42-89f0d4203d46 · outbound

This paper cites Off- apexnet on micro-expression recognition system,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Off- apexnet on micro-expression recognition system,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:39.716114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c11e6668-7b53-490b-a846-1c5c213dc6d0 · outbound

This paper cites Micro-expression classification based on landmark relations with graph attention convolutional network,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Micro-expression classification based on landmark relations with graph attention convolutional network,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:39.435780Z

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Observation 23906277-91bf-462c-92df-3fd7c7df874f · outbound

This paper cites Micro-expression recognition with supervised contrastive learning,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Micro-expression recognition with supervised contrastive learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:39.258189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5455709-ed4b-449f-8290-063cba5a12f9 · outbound

This paper cites Sparsity in dynamics of spontaneous subtle emotions: analysis and application,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Sparsity in dynamics of spontaneous subtle emotions: analysis and application,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:39.115283Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5a90b1be-bcc1-4f42-9b2a-4dfa6d0de524 · outbound

This paper cites Dual- stream shallow networks for facial micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Dual- stream shallow networks for facial micro-expression recognition,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:38.994386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f1177b13-0b9f-41cf-b6ce-46c3ae456087 · outbound

This paper cites Joint local and global information learning with single apex frame detection for micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Joint local and global information learning with single apex frame detection for micro-expression recognition,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:38.775105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 623f0e85-0e76-4d3f-b084-ce7fa9fed1e9 · outbound

This paper cites Micro-expression recognition based on facial graph representation learning and facial action unit fusion,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Micro-expression recognition based on facial graph representation learning and facial action unit fusion,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:38.523870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d5dd437-8510-4b83-928e-eeffef9f4614 · outbound

This paper cites A two-stage 3d cnn based learning method for spontaneous micro- expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution A two-stage 3d cnn based learning method for spontaneous micro- expression recognition,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:38.299292Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d26a5fa-3413-4562-ab80-0316f5c41bc7 · outbound

This paper cites Short and long range relation based spatio-temporal transformer for micro- expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Short and long range relation based spatio-temporal transformer for micro- expression recognition,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:38.029812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b86c732c-2887-4313-a98d-10574adb596a · outbound

This paper cites Dynamic micro-expression recognition using knowledge distillation,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Dynamic micro-expression recognition using knowledge distillation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:37.687345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 10870511-5ffd-4d7c-9010-857a4ec5756b · outbound

This paper cites Megc 2019– the second facial micro-expressions grand challenge,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Megc 2019– the second facial micro-expressions grand challenge,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:37.532995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 386cf4ab-0f26-44da-812c-09a216040b41 · outbound

This paper cites Shallow triple stream three-dimensional cnn (ststnet) for micro- expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Shallow triple stream three-dimensional cnn (ststnet) for micro- expression recognition,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:37.257814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 03dedd76-3dc9-474c-a6af-497701f67666 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Pytorch: An imperative style, high-performance deep learning library,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:37.001668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d3dc0b0-e4cc-47fc-914f-ecfcd937c5b1 · outbound

This paper cites Adam: A method for stochastic optimiza- tion,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Adam: A method for stochastic optimiza- tion,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:33.414592Z

Source-reported events for the cited work

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Observation 8c741f23-041a-407d-abc3-e068c2977e8a · outbound

This paper cites Expression, affect, action unit recogni- tion: Aff-wild2, multi-task learning and arcface,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Expression, affect, action unit recogni- tion: Aff-wild2, multi-task learning and arcface,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:36.669905Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa221d4a-50ad-48f8-84c5-2da0fcd0543e · outbound

This paper cites Analysing affective behavior in the second abaw2 compe- tition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Analysing affective behavior in the second abaw2 compe- tition,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:36.457422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 46c9f5c0-b79e-4acf-80b2-2ebd628303d5 · outbound

This paper cites Capsulenet for micro- expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Capsulenet for micro- expression recognition,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:36.236312Z

Source-reported events for the cited work

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Observation 31b5b73d-78e8-4ce8-8877-034dde81850e · outbound

This paper cites A neural micro- expression recognizer,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution A neural micro- expression recognizer,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:35.991199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 48b7547b-1c11-47aa-88b4-7d2aa9f75dcc · outbound

This paper cites Feature representation learning with adaptive displacement generation and transformer fusion for micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Feature representation learning with adaptive displacement generation and transformer fusion for micro-expression recognition,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:35.731791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f800033e-ec11-4666-ae0d-8e8e31ed1bd7 · outbound

This paper cites Selfme: Self- supervised motion learning for micro-expression recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Selfme: Self- supervised motion learning for micro-expression recognition,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:35.543707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 003ee73e-53f9-4dcf-b347-90d0f79e4c16 · outbound

This paper cites Mer-gcn: Micro- expression recognition based on relation modeling with graph convolutional networks,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Mer-gcn: Micro- expression recognition based on relation modeling with graph convolutional networks,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:35.323270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d2b53e5d-4c85-42f4-8608-3ce5d6b0c008 · outbound

This paper cites Back to basics: Un- supervised learning of optical flow via brightness constancy and motion smoothness,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Back to basics: Un- supervised learning of optical flow via brightness constancy and motion smoothness,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:35.114749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87aaf4a6-ebcb-435c-a045-4507c2e1f715 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Raft: Recurrent all-pairs field transforms for optical flow,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.908609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 569660c4-6513-4b69-bfc0-577d510620ec · outbound

This paper cites Learning deep rep- resentation for face alignment with auxiliary attributes,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Learning deep rep- resentation for face alignment with auxiliary attributes,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.734284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d52aaa3a-3492-4b88-b616-a3058a355990 · outbound

This paper cites Deep high-resolution representa- tion learning for visual recognition,.

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution Deep high-resolution representa- tion learning for visual recognition,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:22:34.526021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation ee9776b0-5398-4eed-aa11-93e853af97c4 · inbound

Straightforward Bayesian A/B testing with Dirichlet posteriors cites this paper.

Straightforward Bayesian A/B testing with Dirichlet posteriors MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-05T21:43:17.850781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2348c1-2d78-4e83-847d-3c3381874966 · inbound

Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression cites this paper.

Boosting Micro-Expression Analysis via Prior-Guided Video-Level Regression MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:13:42.227224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.