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Paper Citation Record · LEDGER

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training

As of 22 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 0 inbound Pith citation observations for arXiv:2502.02307.

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

pith.paper-citation-record.v1
2502.02307 v2

Coverage vector

measured 98 of 98 reference resolution

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measured 98 of 98 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

98 of 98 outbound references displayed

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External citation measurements

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Outbound references

Observation 04ca40f9-5673-4acb-9ae0-0d947f42d3f6 · outbound

This paper cites L2cs-net: Fine-grained gaze estimation in unconstrained environments.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training L2cs-net: Fine-grained gaze estimation in unconstrained environments

Reference 1

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Observation 771694dd-f738-42c2-a77a-3c2a45991c77 · outbound

This paper cites Non-intrusive gaze tracking using artificial neural networks.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Non-intrusive gaze tracking using artificial neural networks

Reference 2

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Observation f88c7e9f-c71f-4a89-af62-824b28c0de47 · outbound

This paper cites From feature to gaze: A generaliz- able replacement of linear layer for gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training From feature to gaze: A generaliz- able replacement of linear layer for gaze estimation

Reference 3

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Observation 918aef13-b0f6-4cb9-bcc1-e1810cf2d817 · outbound

This paper cites Unsupervised gaze representation learning from multi-view face images.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Unsupervised gaze representation learning from multi-view face images

Reference 4

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Observation 3a10488a-bb70-4d9d-aec5-38eafe9db36c · outbound

This paper cites Gaze-based intention estimation: princi- ples, methodologies, and applications in hri.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Gaze-based intention estimation: princi- ples, methodologies, and applications in hri

Reference 5

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Observation 9ad333a8-e553-4894-8236-cbc867f123eb · outbound

This paper cites Synthetic faces high quality - text 2 image (sfhq-t2i) dataset, 2024.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Synthetic faces high quality - text 2 image (sfhq-t2i) dataset, 2024

Reference 6

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Observation 702a0751-480e-4251-a5d9-b96251b58229 · outbound

This paper cites How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks).

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training How far are we from solving the 2d & 3d face alignment problem? (and a dataset of 230,000 3d facial landmarks)

Reference 7

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Observation feda408f-4dfb-4b46-85b6-2c63325fd362 · outbound

This paper cites Marlin: Masked autoencoder for facial video repre- sentation learning.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Marlin: Masked autoencoder for facial video repre- sentation learning

Reference 8

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Observation 89889062-d576-4a0e-9c51-2e3750a801a9 · outbound

This paper cites Vggface2: A dataset for recognising faces across pose and age.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Vggface2: A dataset for recognising faces across pose and age

Reference 9

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Observation 538cbe01-6017-4848-9be9-0c51ff3aad32 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Emerg- ing properties in self-supervised vision transformers

Reference 10

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Observation fced9cb0-1239-4eb4-9d6e-78ca7bfb0788 · outbound

This paper cites An empiri- cal study of training self-supervised vision transformers.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training An empiri- cal study of training self-supervised vision transformers

Reference 11

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Observation a3239a1c-148d-4957-8d13-702ad57fa7a0 · outbound

This paper cites Gaze estimation using trans- former.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Gaze estimation using trans- former

Reference 12

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Observation cfdef371-b148-4693-b148-25ebd394fd70 · outbound

This paper cites Puregaze: Purify- ing gaze feature for generalizable gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Puregaze: Purify- ing gaze feature for generalizable gaze estimation

Reference 13

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Observation b07deda4-2cac-48b2-91fd-9c8d62239d43 · outbound

This paper cites Appearance-based gaze estimation with deep learning: A re- view and benchmark.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Appearance-based gaze estimation with deep learning: A re- view and benchmark

Reference 14

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Observation 8cea9901-3ba3-4cd9-a306-20004ed90189 · outbound

This paper cites Detecting attended visual targets in video.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Detecting attended visual targets in video

Reference 15

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Observation 321dd140-17e9-4fa3-822d-fe8b5793aab6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Imagenet: A large-scale hierarchical image database

Reference 16

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Observation 1af19e61-5235-4db9-85ea-e4e9e4caebdf · outbound

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

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training An image is worth 16x16 words: Transformers for image recognition at scale

Reference 17

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Observation bbd5ee4f-f16f-4f91-9592-c3b0ebc8e0e9 · outbound

This paper cites Corrupted image modeling for self-supervised vi- sual pre-training.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Corrupted image modeling for self-supervised vi- sual pre-training

Reference 18

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Observation 4139a793-4645-4d2b-91f5-e9a1fe831b64 · outbound

This paper cites Eva: Exploring the limits of masked visual representa- tion learning at scale.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Eva: Exploring the limits of masked visual representa- tion learning at scale

Reference 19

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Observation 71a722a1-6dfe-4a4b-b788-6dcedbb00da7 · outbound

This paper cites Rt- gene: Real-time eye gaze estimation in natural environments.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Rt- gene: Real-time eye gaze estimation in natural environments

Reference 20

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Observation 8d38b4d5-1bf3-4ccc-b612-5e1b0871bd18 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981

Reference 21

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Observation 22970c6d-1f06-47bb-9dd3-e872011dbfbc · outbound

This paper cites Eyediap: A database for the development and evaluation of gaze estimation algorithms from rgb and rgb-d cameras.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Eyediap: A database for the development and evaluation of gaze estimation algorithms from rgb and rgb-d cameras

Reference 22

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Observation ce20fb36-9117-4fc1-b80e-444605a7379a · outbound

This paper cites Self-supervised facial rep- resentation learning with facial region awareness.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Self-supervised facial rep- resentation learning with facial region awareness

Reference 23

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Observation 03770f80-bfce-4746-aa6e-3ddd84f314d2 · outbound

This paper cites Automatic gaze analysis: A survey of deep learning based approaches.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Automatic gaze analysis: A survey of deep learning based approaches

Reference 24

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Observation d3593c9f-e392-43fe-a139-82d2f5436b9a · outbound

This paper cites End-to-end video gaze estimation via capturing head-face-eye spatial-temporal interaction context.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training End-to-end video gaze estimation via capturing head-face-eye spatial-temporal interaction context

Reference 25

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Observation dba592e4-439c-449b-a5a2-6f2ca6317950 · outbound

This paper cites Application of eye tracking in medicine: A survey, research issues and chal- lenges.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Application of eye tracking in medicine: A survey, research issues and chal- lenges

Reference 26

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Observation 48383720-e05f-4bda-95af-ed5b40c5062e · outbound

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UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Deep residual learning for image recognition

Reference 27

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Observation 47192867-c0d1-4cbf-a1d3-cd4e6aa871be · outbound

This paper cites Momentum contrast for unsupervised visual repre- sentation learning.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Momentum contrast for unsupervised visual repre- sentation learning

Reference 28

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This paper cites Masked autoencoders are scalable vision learners.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Masked autoencoders are scalable vision learners

Reference 29

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Observation 5c08f420-5578-4be2-a0d8-bdc307f9b8b7 · outbound

This paper cites Rotation-constrained cross-view feature fusion for multi-view appearance-based gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Rotation-constrained cross-view feature fusion for multi-view appearance-based gaze estimation

Reference 30

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Observation b54e5c18-7d65-4397-8be5-32fc6cf5c7c7 · outbound

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UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Denoising diffu- sion probabilistic models

Reference 31

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This paper cites Masked autoencoders that listen.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Masked autoencoders that listen

Reference 32

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Observation f674cfa2-4d7a-4c7e-9982-b321663d45ba · outbound

This paper cites Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck

Reference 33

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Observation eba4ba64-040a-4c77-9ecf-183c1b212894 · outbound

This paper cites Redirtrans: Latent-to-latent translation for gaze and head redirection.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Redirtrans: Latent-to-latent translation for gaze and head redirection

Reference 34

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Observation c5be5123-e1b6-4cb2-8ee1-fb71640ae462 · outbound

This paper cites Contrastive represen- tation learning for gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Contrastive represen- tation learning for gaze estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.726962Z

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.

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Observation 54785bc4-7b26-40bb-8477-ef2a48ca9d9d · outbound

This paper cites Scaling Laws for Neural Language Models.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Scaling Laws for Neural Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:20.906946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:20.906946Z digest=sha256:e2c04f9fa2eaa7aa1812f54f959c101a2052c4d1a6c8b8ef84bf4648cb17ae0e

Observation 8284d36f-e58d-4a55-a95a-ea60c0e5c1e2 · outbound

This paper cites Analyzing and improving the image quality of StyleGAN.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Analyzing and improving the image quality of StyleGAN

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.718804Z

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.

source=pdf_text observed=2026-08-09T12:41:20.910846Z digest=sha256:a79a2a059b00b45f844d4ad0f12e310be4397b5e217a07ebf9a60bec6cafbeb3

Observation b4d35eb5-919c-4231-8e2c-0c8a4d6dd45c · outbound

This paper cites Using eye-tracking in education: review of empirical research and technology.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Using eye-tracking in education: review of empirical research and technology

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.711276Z

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.

source=pdf_text observed=2026-08-09T12:41:20.913572Z digest=sha256:796b0d9cdd66cd4cf9d202eb13ade9b5ec9201d83c8da3472b428de10482db07

Observation 84e81ff1-c8ae-48aa-a115-dd6b21fdf49f · outbound

This paper cites Gaze360: Physically uncon- strained gaze estimation in the wild.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Gaze360: Physically uncon- strained gaze estimation in the wild

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.703394Z

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.

source=pdf_text observed=2026-08-09T12:41:20.916706Z digest=sha256:ef038c00971b6e8fc2c17808f7d1a8ee634935e8e64655cae439597aa2b9627c

Observation 152ddd95-2645-43f4-a1d5-273bd491c2a6 · outbound

This paper cites Sapiens: Foundation for human vision mod- els.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Sapiens: Foundation for human vision mod- els

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.694941Z

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.

source=pdf_text observed=2026-08-09T12:41:20.919444Z digest=sha256:49b6b383e0fcdffdd09b883c529491308bce270bc535b002232f825145b168b3

Observation 8379e1f3-f504-442d-a533-1b6c8d8fb00e · outbound

This paper cites Nvgaze: An anatomically-informed dataset for low-latency, near-eye gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Nvgaze: An anatomically-informed dataset for low-latency, near-eye gaze estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.686749Z

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.

source=pdf_text observed=2026-08-09T12:41:20.922069Z digest=sha256:b3b0781a9ee418d3c32cd82377e7b7627ca9843adca1368ee1ac4cbb5c72e781

Observation a4b77863-4f4f-49a9-b858-f800c163322f · outbound

This paper cites Kingma and Jimmy Ba.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Kingma and Jimmy Ba

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.678740Z

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.

source=pdf_text observed=2026-08-09T12:41:20.925147Z digest=sha256:a08fcbebbb2df2e28a05e2bab4e3519d6ba94e14dd13809f126db072bce51a1a

Observation 6d4ec40f-77da-4fa8-ab99-dc78fbb53886 · outbound

This paper cites Segment any- thing.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Segment any- thing

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.670781Z

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.

source=pdf_text observed=2026-08-09T12:41:20.928604Z digest=sha256:25cf744f9e17a6ef1a0021ef17b54de1e152147dabd6640b571f4579f6cb970c

Observation 9d3a7b7d-216d-4af4-8968-dcec8094f9bd · outbound

This paper cites Weakly-supervised physically unconstrained gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Weakly-supervised physically unconstrained gaze estimation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.662730Z

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.

source=pdf_text observed=2026-08-09T12:41:20.931276Z digest=sha256:99e971349fbbbb3194f614c36ee72a5ec0b800121091cc4d100c947bc6ffe340

Observation 90ab926b-72cc-4c2c-8893-de3e85c21677 · outbound

This paper cites Eye tracking for everyone.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Eye tracking for everyone

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.653671Z

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.

source=pdf_text observed=2026-08-09T12:41:20.933902Z digest=sha256:4d7d26e48e48f2de574642d3c22a3d6c4b95aea5d02c95345f1ce410883f9a9c

Observation 41619302-8156-48f6-a5bd-08a77b3a9855 · outbound

This paper cites Masked autoen- coders for microscopy are scalable learners of cellular biol- ogy.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Masked autoen- coders for microscopy are scalable learners of cellular biol- ogy

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.645011Z

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.

source=pdf_text observed=2026-08-09T12:41:20.937528Z digest=sha256:064b242a99eac755826a0e8fc36b8e345a4828d61216f035bee33eec6ef0938f

Observation 4e6c7c65-cbd3-4010-80f5-4905c5e56a55 · outbound

This paper cites Your diffusion model is se- cretly a zero-shot classifier.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Your diffusion model is se- cretly a zero-shot classifier

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.635863Z

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.

source=pdf_text observed=2026-08-09T12:41:20.941290Z digest=sha256:06bdad2e0e4021e96793abe4ed7c30610196b13212afb9087e0eac698ba44f1e

Observation 5fad05ab-93d1-4715-979d-10824e1dd314 · outbound

This paper cites Dreamteacher: Pretraining image backbones with deep generative models.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Dreamteacher: Pretraining image backbones with deep generative models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.627923Z

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.

source=pdf_text observed=2026-08-09T12:41:20.945821Z digest=sha256:66751677b20297caf8dfeaab264300357c9d5764d959eb967ff226a71341e97e

Observation dfb3b377-9b34-481c-b4b1-ae268ae7cd93 · outbound

This paper cites URAvatar: Universal Relightable Gaussian Codec Avatars.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training URAvatar: Universal Relightable Gaussian Codec Avatars

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:41:21.248139Z

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.

source=pdf_text observed=2026-08-09T12:41:20.949614Z digest=sha256:a47f7ab83c6150b5dc315d5952da0fff74d68b8cb0531e6e6abbd0988acd8d4d

Observation 4ef56b30-f6f9-4414-8d8a-9c8b48e13023 · outbound

This paper cites GazeHTA: End-to-end Gaze Target Detection with Head-Target Association.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training GazeHTA: End-to-end Gaze Target Detection with Head-Target Association

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:20.953422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:20.953422Z digest=sha256:9d3658147acde92fb0f0befafcead6b51ff8dab833b1ee887690844dbaf8937a

Observation cd1cb8ad-b298-471b-8b0a-467be46ad8ee · outbound

This paper cites Jitter Does Matter: Adapting Gaze Estimation to New Domains.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Jitter Does Matter: Adapting Gaze Estimation to New Domains

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:20.957488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:20.957488Z digest=sha256:8a8a468746b0449b6774e60608a588f8180e61496a969882358e926a91034033

Observation b6418575-f62f-4815-8034-5e272c74f5de · outbound

This paper cites Pnp- ga+: Plug-and-play domain adaptation for gaze estimation using model variants.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Pnp- ga+: Plug-and-play domain adaptation for gaze estimation using model variants

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.619623Z

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.

source=pdf_text observed=2026-08-09T12:41:20.961812Z digest=sha256:d0d31b5b5e00b5266f9a286ae091bb9a3b1b8918d5071e8c274878fe6269329a

Observation bd36b445-c4ab-467c-8328-7527e3cd6436 · outbound

This paper cites From gaze jitter to domain adaptation: Generalizing gaze estimation by ma- nipulating high-frequency components.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training From gaze jitter to domain adaptation: Generalizing gaze estimation by ma- nipulating high-frequency components

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.611411Z

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.

source=pdf_text observed=2026-08-09T12:41:20.965227Z digest=sha256:7e2bff45748d293708040322bf1de9ea79f61cd55b7e701d1a5a952f808e2979

Observation 3287d030-aec4-43ca-9178-566b0596faf3 · outbound

This paper cites Gen- eralizing gaze estimation with outlier-guided collaborative adaptation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Gen- eralizing gaze estimation with outlier-guided collaborative adaptation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.602295Z

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.

source=pdf_text observed=2026-08-09T12:41:20.968866Z digest=sha256:f25c0e625d739a0374a38cc10f0bb5882e0d76bab7ecc160a15eedf5e1c4bc80

Observation 0ba10e0f-7c84-49e7-abe1-34ec9d02cc60 · outbound

This paper cites Agisoft metashape.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Agisoft metashape

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.593520Z

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.

source=pdf_text observed=2026-08-09T12:41:20.972464Z digest=sha256:1d1ee70106ea17ea7be84855aab23349a589c017cab395235bf962c7793af99e

Observation 53e2bb1a-d89a-4594-9c87-1bccd1617a4c · outbound

This paper cites Head pose-free appearance-based gaze sensing via eye im- age synthesis.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Head pose-free appearance-based gaze sensing via eye im- age synthesis

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.585511Z

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.

source=pdf_text observed=2026-08-09T12:41:20.976014Z digest=sha256:88abba56d73ae1f4729ff48865c337b18adf283c91babc75c0be0b5c075f897e

Observation 9c8bd719-0078-41e5-8b11-71d57dec378e · outbound

This paper cites Learning gaze biases with head motion for head pose-free gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Learning gaze biases with head motion for head pose-free gaze estimation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.577314Z

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.

source=pdf_text observed=2026-08-09T12:41:20.979738Z digest=sha256:f16b3e1a42e0eeb8fd78ef1dffca68b8fdf99a5d67d4be694c94d2008f4a98b5

Observation c94fb147-91d6-4aec-a26f-1cb674544ed6 · outbound

This paper cites Gaze-hand align- ment: Combining eye gaze and mid-air pointing for inter- acting with menus in augmented reality.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Gaze-hand align- ment: Combining eye gaze and mid-air pointing for inter- acting with menus in augmented reality

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.568790Z

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.

source=pdf_text observed=2026-08-09T12:41:20.983200Z digest=sha256:a41d9b31b74f38ad16ae90f817fc2885c87578fe823515f8fcd4f97700b6300a

Observation 01ec922f-cb4c-429f-b1bb-9f3eaab55afa · outbound

This paper cites Eye tracking and eye- based human–computer interaction.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Eye tracking and eye- based human–computer interaction

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.560359Z

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.

source=pdf_text observed=2026-08-09T12:41:20.987112Z digest=sha256:bc7d474db5c8e183d32ced1267cc7aa94ce36ce66eba834ed2067663adf14df8

Observation cd6b71ec-6864-49c8-b428-7fff1f670ab2 · outbound

This paper cites Few-shot adaptive gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Few-shot adaptive gaze estimation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.551494Z

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.

source=pdf_text observed=2026-08-09T12:41:20.990667Z digest=sha256:dbcada50cee86332bacdfe69a69bc4df855aff120ffba5daf7e964fbe92770a0

Observation f52aaf9f-3d00-4015-9976-16ed68ef74c9 · outbound

This paper cites Learning-by-novel-view-synthesis for full-face appearance- based 3d gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Learning-by-novel-view-synthesis for full-face appearance- based 3d gaze estimation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.542074Z

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.

source=pdf_text observed=2026-08-09T12:41:20.994202Z digest=sha256:c56684a498ff7803462647da7173a6fb4e5f99cd71cf86d89e61cf7e64a4b489

Observation ebe8981a-b193-462e-b3b4-bf88727fc963 · outbound

This paper cites Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature Disentanglement

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:41:21.211364Z

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.

source=pdf_text observed=2026-08-09T12:41:20.998042Z digest=sha256:e446123ef4a1de442223b3b013e519aca4dfa4d8a0f6ce1ae7f6a11d3b37cc90

Observation 5f8e3563-f369-4b57-a799-c93ca32a237b · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training High-resolution image syn- thesis with latent diffusion models

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.532916Z

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.

source=pdf_text observed=2026-08-09T12:41:21.002206Z digest=sha256:77fc472e81b96be7e907eb130f3258bc3a3fa46230018ca791130d8ba332374f

Observation 3dd56781-df7a-46f6-aa24-587274d0e6b8 · outbound

This paper cites Gazenerf: 3d-aware gaze redirection with neural radiance fields.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Gazenerf: 3d-aware gaze redirection with neural radiance fields

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.524261Z

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.

source=pdf_text observed=2026-08-09T12:41:21.005903Z digest=sha256:554576ac4afaf043c310d909ed2ef44bc9c640add3e87a18e8fc1e59b9334dcb

Observation def8033b-353e-4a0d-90da-1ed752fa3f58 · outbound

This paper cites A review of driver gaze estimation and application in gaze behavior understanding.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training A review of driver gaze estimation and application in gaze behavior understanding

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.515915Z

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.

source=pdf_text observed=2026-08-09T12:41:21.009801Z digest=sha256:a70cd907a23d350c49f335fef2fcddc04937e469b1884725df7e2aa538d5e588

Observation 879d82d3-61cd-45e1-ab0f-35952ee54ba5 · outbound

This paper cites Agent-guided gaze estimation network by two-eye asymmetry exploration.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Agent-guided gaze estimation network by two-eye asymmetry exploration

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.508237Z

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.

source=pdf_text observed=2026-08-09T12:41:21.013559Z digest=sha256:e4bd3d2df19af4507d76161661696537ba5f41705120e3c9ec37a5a8aee67498

Observation 72bba800-a9a4-414e-baa5-e5e2832be733 · outbound

This paper cites The effectiveness of mae pre-pretraining for billion- scale pretraining.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training The effectiveness of mae pre-pretraining for billion- scale pretraining

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.501177Z

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.

source=pdf_text observed=2026-08-09T12:41:21.017504Z digest=sha256:d24e39f99b7a93e12057f79b44423679be1d7d7ead85a56e2ab5cc13f23ebcde

Observation 9e65d4f9-ed5f-4b49-84cf-b4c019663423 · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learn- ing rates.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Super-convergence: Very fast training of neural networks using large learn- ing rates

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.494396Z

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.

source=pdf_text observed=2026-08-09T12:41:21.021155Z digest=sha256:d61237aad6b5f97cad5ce7fd72f5668c1bcf7612350936628a384e0b06b52b25

Observation 7b24584e-e76f-4b70-b970-9ca88c13c357 · outbound

This paper cites Omnivec: Learn- ing robust representations with cross modal sharing.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Omnivec: Learn- ing robust representations with cross modal sharing

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.487443Z

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.

source=pdf_text observed=2026-08-09T12:41:21.024984Z digest=sha256:21c043bbae38833529d6d50ef6f5de206f004022cf54520616831264ad18c933

Observation be86dae6-7a57-4fb1-b165-e991726d51f5 · outbound

This paper cites Face-MLLM: A Large Face Perception Model.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Face-MLLM: A Large Face Perception Model

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:21.028540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f4aeecd3-4a47-44f7-809a-bea5c91c88ca · outbound

This paper cites Appearance-based eye gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Appearance-based eye gaze estimation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.479589Z

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.

source=pdf_text observed=2026-08-09T12:41:21.032514Z digest=sha256:1df4f34f97e02be9d8cf3288d50245e4e14471e32173ca7f826bd59337e79ce3

Observation 8a1fbb65-eded-4c43-ba40-7b25b7b3e3d4 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learn- ers for self-supervised video pre-training.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Videomae: Masked autoencoders are data-efficient learn- ers for self-supervised video pre-training

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.471553Z

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.

source=pdf_text observed=2026-08-09T12:41:21.036133Z digest=sha256:32bd3b755d7d0ad3620e457c6346c8c1f1e28a3780ef88c81299bddbafefc412

Observation 6e4a70dd-06f8-4dc4-adb0-958c406411f0 · outbound

This paper cites 3dgazenet: Generalizing 3d gaze estimation with weak- supervision from synthetic views.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training 3dgazenet: Generalizing 3d gaze estimation with weak- supervision from synthetic views

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.463121Z

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.

source=pdf_text observed=2026-08-09T12:41:21.039837Z digest=sha256:575a59da65767904ac972a58e02ddc777bb15d4b95c6206e2a935d97b252b303

Observation c61a5791-ac12-4f65-bb8b-b605e5d91431 · outbound

This paper cites High-Fidelity Eye Animatable Neural Radiance Fields for Human Face.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training High-Fidelity Eye Animatable Neural Radiance Fields for Human Face

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:21.042774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:21.042774Z digest=sha256:3b7a2f1ae3a7aaf46a9daabd68bbb0cc75b45e87c52ce3e677766b8dc5e42586

Observation 9e9e8042-cfe3-488c-acd2-6e9fe07d8a5b · outbound

This paper cites Generaliz- ing eye tracking with bayesian adversarial learning.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Generaliz- ing eye tracking with bayesian adversarial learning

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.455009Z

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.

source=pdf_text observed=2026-08-09T12:41:21.046259Z digest=sha256:5c1c8a7e245333bd13e7164db44da99aa8a5235e655575a9c6b2e1ff3500ad3f

Observation 0c7c6963-eab3-439d-b60c-8901709f773b · outbound

This paper cites Con- trastive regression for domain adaptation on gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Con- trastive regression for domain adaptation on gaze estimation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.447058Z

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.

source=pdf_text observed=2026-08-09T12:41:21.049432Z digest=sha256:ae1ab3ca89444b6eca1fc69296d2893c6974bdff93822357029abb3899a7584e

Observation a533235d-cda4-4284-b796-f45a8ae03a27 · outbound

This paper cites Toward high qual- ity facial representation learning.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Toward high qual- ity facial representation learning

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.438361Z

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.

source=pdf_text observed=2026-08-09T12:41:21.052286Z digest=sha256:e2478878ba714f27bd18736e9e284e41f2ff9b3c81164e8d92c3ab9924d3194a

Observation a866ee59-6c4c-4d49-a807-a3b8f2c4de37 · outbound

This paper cites Rendering of eyes for eye-shape registration and gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Rendering of eyes for eye-shape registration and gaze estimation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.429928Z

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.

source=pdf_text observed=2026-08-09T12:41:21.055236Z digest=sha256:a30e8120bafbb0cbe4d01907038c6b0243f77d10893b7581aafc6114d83f2b50

Observation e179e58f-812c-4fe1-b906-5fd3cc5c925c · outbound

This paper cites Fake it till you make it: face analysis in the wild using synthetic data alone.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Fake it till you make it: face analysis in the wild using synthetic data alone

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.421573Z

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.

source=pdf_text observed=2026-08-09T12:41:21.058067Z digest=sha256:5f686268dd9a673d4752815c286962ab9fff73957280812f7b32c51de4cfafb5

Observation 2f50e6a5-d354-4f19-a557-dcdb64282cca · outbound

This paper cites Denoising diffusion autoencoders are unified self-supervised learners.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Denoising diffusion autoencoders are unified self-supervised learners

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.413002Z

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.

source=pdf_text observed=2026-08-09T12:41:21.060835Z digest=sha256:0f2730f99be17f7853e2b87980dc2a2246ba96d72adf6a835a251d3beaa3b64d

Observation eb2e3b1a-5dc3-431c-8fc8-ca17eaa81160 · outbound

This paper cites Vfhq: A high-quality dataset and benchmark for video face super-resolution.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Vfhq: A high-quality dataset and benchmark for video face super-resolution

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.404971Z

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.

source=pdf_text observed=2026-08-09T12:41:21.063524Z digest=sha256:721fcac4ffd6ff59e59b1938335b9dcb5e4667f6838dd56b2e7df30d0485ffae

Observation cb1b2662-19f4-4673-a6f9-b3e8fe626e78 · outbound

This paper cites Gaze from origin: Learning for generalized gaze estimation by embedding the gaze frontal- ization process.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Gaze from origin: Learning for generalized gaze estimation by embedding the gaze frontal- ization process

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.396516Z

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.

source=pdf_text observed=2026-08-09T12:41:21.067115Z digest=sha256:6ebc2f570a83e777e4c4daf26c2f583761267c24b7d7c05dff77bb5075ebf0c4

Observation 70c92584-4cad-45b3-9bd1-ba1a42d2462d · outbound

This paper cites Learning a gener- alized gaze estimator from gaze-consistent feature.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Learning a gener- alized gaze estimator from gaze-consistent feature

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.389574Z

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.

source=pdf_text observed=2026-08-09T12:41:21.070865Z digest=sha256:56a66d2938079b86fe0fb1bcace9987469e0ccf8ecab4412d4e94671662da069

Observation bde7311b-0ead-43b0-a708-d67d4794485a · outbound

This paper cites NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:41:21.179632Z

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.

source=pdf_text observed=2026-08-09T12:41:21.074274Z digest=sha256:3af1c16fc994bd1b587d0b7e69bf3a334f2c3fdecb081406721267233640a3fa

Observation 2144ee57-1e38-4c73-b56f-c54f4451a8ae · outbound

This paper cites Lg-gaze: Learning geometry-aware continu- ous prompts for language-guided gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Lg-gaze: Learning geometry-aware continu- ous prompts for language-guided gaze estimation

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.382621Z

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.

source=pdf_text observed=2026-08-09T12:41:21.078145Z digest=sha256:259a8bb6b768ff5d2cdabf8a43839fb217549dab1d247019b6023c01dd4ae794

Observation a20fa6d8-f502-424d-ada7-ff324884db20 · outbound

This paper cites Clip-gaze: Towards general gaze estimation via visual- linguistic model.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Clip-gaze: Towards general gaze estimation via visual- linguistic model

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.375514Z

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.

source=pdf_text observed=2026-08-09T12:41:21.081641Z digest=sha256:037e6ca385113ac149b20d488fc56c5fc261524e3930c20018093a4e818552fd

Observation 6091caed-72a7-409c-b393-8bc0ec2e9b2e · outbound

This paper cites Celebv-text: A large-scale fa- cial text-video dataset.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Celebv-text: A large-scale fa- cial text-video dataset

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.368011Z

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.

source=pdf_text observed=2026-08-09T12:41:21.085190Z digest=sha256:7fa4a8d4ca1a397185a270374417066d66481dc9767e17ae53902f5046e554fc

Observation 6b030114-c7c8-41ed-b947-b3fbf3e113a7 · outbound

This paper cites Appearance-based gaze estimation in the wild.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Appearance-based gaze estimation in the wild

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.359249Z

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.

source=pdf_text observed=2026-08-09T12:41:21.088651Z digest=sha256:29c600758153f6f31276eed7f15540b4903710882d8e484acca61cd1e434b887

Observation bd728cc9-a45f-43c5-9dcb-77b7f9443344 · outbound

This paper cites It’s written all over your face: Full-face appearance- based gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training It’s written all over your face: Full-face appearance- based gaze estimation

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.350800Z

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.

source=pdf_text observed=2026-08-09T12:41:21.091986Z digest=sha256:c78eed4d09cd51ab566b5bc56258cd8a2b0b7659c9ff3a6466e21c4cbfb1db97

Observation 1f2b52cb-b4e8-4fda-bb7d-8ecd995c4d9b · outbound

This paper cites Re- visiting data normalization for appearance-based gaze esti- mation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Re- visiting data normalization for appearance-based gaze esti- mation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.341908Z

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.

source=pdf_text observed=2026-08-09T12:41:21.095573Z digest=sha256:4f1f61d654ec5b832fb8a315d4ad3ef100aa5aa7ffe237723a9e27586244b431

Observation 9a659ea9-8930-45db-b78c-2726fb3708fd · outbound

This paper cites Mpiigaze: Real-world dataset and deep appearance- based gaze estimation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Mpiigaze: Real-world dataset and deep appearance- based gaze estimation

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.332666Z

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.

source=pdf_text observed=2026-08-09T12:41:21.099346Z digest=sha256:c3301a74dcdf2632f1dedae23b38d1e44d53167a0e687e6168fed8da216040e5

Observation f23cd7f5-67b1-4282-8f0e-3a1f12dece14 · outbound

This paper cites Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.323480Z

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.

source=pdf_text observed=2026-08-09T12:41:21.102917Z digest=sha256:36875890d599029d69c7beba96d13f6d7390105dfa621f78dd1955a455a44158

Observation d71249f8-abf1-44f3-83be-6aaca88762df · outbound

This paper cites Improving Domain Generalization on Gaze Estimation via Branch-out Auxiliary Regularization.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Improving Domain Generalization on Gaze Estimation via Branch-out Auxiliary Regularization

Reference 93

Resolution
verified exact
local_arxiv, observed 2026-08-09T12:41:21.162782Z

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.

source=pdf_text observed=2026-08-09T12:41:21.106614Z digest=sha256:9816537d33196f5824e1b784b1f5a136377cc1f6983fb3dbd33a3667db41d978

Observation f572dd30-e592-45dd-8c0a-0f58300a4bea · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Unleashing text-to-image diffusion models for visual perception

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.313817Z

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.

source=pdf_text observed=2026-08-09T12:41:21.110545Z digest=sha256:06ce569fa1ebf8ebded3c4a902bd176004e839ba17742a2720de20f19ee31cca

Observation 907820ce-daa8-4bb7-a762-416188fadff9 · outbound

This paper cites Self-learning transformations for improving gaze and head redirection.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Self-learning transformations for improving gaze and head redirection

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.304570Z

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.

source=pdf_text observed=2026-08-09T12:41:21.114296Z digest=sha256:913f2616292c93b4f65a8ece8b1fb80d156fa1366601c4d17a746c43e61e60e6

Observation e921fd75-9073-4b8f-8568-7f87847152c6 · outbound

This paper cites General facial representation learning in a visual-linguistic manner.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training General facial representation learning in a visual-linguistic manner

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.296139Z

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.

source=pdf_text observed=2026-08-09T12:41:21.117905Z digest=sha256:80677f839ff74888ebbc06c5cc69f9dffbe64bc9331cccd5c57226c08508d633

Observation 5bedd294-3929-46f4-bd5c-f4b0e3e1a0c4 · outbound

This paper cites Places: A 10 million image database for scene recognition.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Places: A 10 million image database for scene recognition

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:41:21.286977Z

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.

source=pdf_text observed=2026-08-09T12:41:21.121395Z digest=sha256:4ed05ced4441033337db442f5cc57e87d6d67ac0780b3470454597eae38f423a

Observation 0ea4b30d-89d2-484a-a0f9-a099eaa3774b · outbound

This paper cites Deformable one- shot face stylization via dino semantic guidance.

UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training Deformable one- shot face stylization via dino semantic guidance

Reference 98

Resolution
malformed identifier
raw_fallback, observed 2026-08-09T12:41:21.278249Z

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.

source=pdf_text observed=2026-08-09T12:41:21.124880Z digest=sha256:9642faf546bcf070212a6bbeb726b40197c268bc85811aadd3b6b140c734693f

Pith citing papers

No inbound Pith citation observations are available.