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Paper Citation Record · LEDGER

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras

As of 11 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2507.22438.

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

pith.paper-citation-record.v1
2507.22438 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:45:00.010060Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

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  • verified fuzzy68
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f34589c5-f55e-4d39-9700-d31318aad97d · outbound

This paper cites Domain-adaptive 2d human pose estimation via dual teachers in extremely low-light conditions.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Domain-adaptive 2d human pose estimation via dual teachers in extremely low-light conditions

Reference 1

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Observation fcf6e880-eb16-4f54-99ad-e181fb94089a · outbound

This paper cites Mixmatch: A holistic approach to semi-supervised learning.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Mixmatch: A holistic approach to semi-supervised learning

Reference 2

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Observation c1c8f4ac-4494-4e0c-87ba-7362d3334f87 · outbound

This paper cites Dhp19: Dynamic vision sen- sor 3d human pose dataset.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Dhp19: Dynamic vision sen- sor 3d human pose dataset

Reference 3

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Observation 0e6e5b3c-01d7-48d6-9251-8c935f61c847 · outbound

This paper cites Mitigating motion blur in neural radiance fields with events and frames.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Mitigating motion blur in neural radiance fields with events and frames

Reference 4

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Source-reported events for the cited work

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Observation 8beb91db-93a1-4a32-bd96-404912f82834 · outbound

This paper cites N-rod: A neuromorphic dataset for synthetic-to-real domain adaptation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras N-rod: A neuromorphic dataset for synthetic-to-real domain adaptation

Reference 5

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Observation fc1bb048-c12a-46af-9c3d-b0efc7a40f86 · outbound

This paper cites Openpose: Realtime multi-person 2d pose estimation using part affinity fields.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Openpose: Realtime multi-person 2d pose estimation using part affinity fields

Reference 6

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Source-reported events for the cited work

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Observation 73614c8c-a8ee-484b-aa3d-4f7810d291d1 · outbound

This paper cites Cascaded pyramid network for multi- person pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Cascaded pyramid network for multi- person pose estimation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cf9896ea-f88e-4318-ae68-7171b28afac3 · outbound

This paper cites Domain adaptive pose estimation via multi- level alignment.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Domain adaptive pose estimation via multi- level alignment

Reference 8

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Source-reported events for the cited work

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Observation 2b154ce3-0e94-46fd-bc59-6120526e881f · outbound

This paper cites Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation

Reference 9

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Source-reported events for the cited work

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Observation aeafa848-5614-40cd-9a31-a7d61eaddde3 · outbound

This paper cites Learning adaptive dense event stereo from the image domain.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Learning adaptive dense event stereo from the image domain

Reference 10

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Source-reported events for the cited work

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Observation bf776f8b-6e2a-4dfb-91b7-6a528f16660a · outbound

This paper cites Non-coaxial event-guided motion deblurring with spa- tial alignment.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Non-coaxial event-guided motion deblurring with spa- tial alignment

Reference 11

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Source-reported events for the cited work

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Observation 18b5dece-0bbc-49c7-b871-f0238fa6d8d6 · outbound

This paper cites Label-free event-based object recognition via joint learning with image reconstruction from events.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Label-free event-based object recognition via joint learning with image reconstruction from events

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6056bea3-35e3-4a7e-9432-a7acfb80c521 · outbound

This paper cites Temporal event stereo via joint learning with stereoscopic flow.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Temporal event stereo via joint learning with stereoscopic flow

Reference 13

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Source-reported events for the cited work

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Observation bd041c14-c26b-4bd5-ad1e-df96e59e8fcc · outbound

This paper cites Tta-evf: test-time adaptation for event-based video frame interpolation via reliable pixel and sample estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Tta-evf: test-time adaptation for event-based video frame interpolation via reliable pixel and sample estimation

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 49ed4c93-a0a3-4d6f-976e-67fc52d694b8 · outbound

This paper cites Finding meaning in points: Weakly supervised semantic segmentation for event cameras.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Finding meaning in points: Weakly supervised semantic segmentation for event cameras

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1d0ada92-4551-4fb3-8d8c-fe60a37b6f30 · outbound

This paper cites A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras A benchmark dataset for event-guided human pose estimation and tracking in extreme conditions

Reference 16

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Source-reported events for the cited work

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Observation fc3be375-cceb-4623-a229-a90bd881558e · outbound

This paper cites Poison: Human pose estimation in insufficient lighting condi- tions using sensor fusion.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Poison: Human pose estimation in insufficient lighting condi- tions using sensor fusion

Reference 17

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Source-reported events for the cited work

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Observation a0111aef-769c-4b92-885c-83c307de6d31 · outbound

This paper cites EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras EventAid: Benchmarking Event-aided Image/Video Enhancement Algorithms with Real-captured Hybrid Dataset

Reference 18

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Source-reported events for the cited work

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Observation 3720741b-db10-4629-974b-8cc506899494 · outbound

This paper cites Rmpe: Regional multi-person pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Rmpe: Regional multi-person pose estimation

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 598de2fa-7b6b-445c-9784-6a1164e88f37 · outbound

This paper cites Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer

Reference 20

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Observation d6bb5ac4-7993-4fd7-9003-c7d840f5abb4 · outbound

This paper cites A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estima- tion.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras A unifying contrast maximization framework for event cameras, with applications to motion, depth, and optical flow estima- tion

Reference 21

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Source-reported events for the cited work

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Observation 87a44042-be9b-4473-a027-8d7e4746357b · outbound

This paper cites Event-based vision: A survey.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Event-based vision: A survey

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation be861a4d-e39b-46a1-8edb-bf0abe88e9c1 · outbound

This paper cites Unsupervised domain adaptation by backpropagation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Unsupervised domain adaptation by backpropagation

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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Observation 40391a5d-31bf-4b58-85be-41082df396ce · outbound

This paper cites Bottom-up human pose estimation via disentan- gled keypoint regression.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Bottom-up human pose estimation via disentan- gled keypoint regression

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ad922e27-b342-48b3-961b-28297efd38d5 · outbound

This paper cites Learning non-maximum suppression.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Learning non-maximum suppression

Reference 25

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Source-reported events for the cited work

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Observation 6399081c-220a-40e1-ac30-af8d7d365e0b · outbound

This paper cites Learning to exploit multiple vision modalities by using grafted networks.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Learning to exploit multiple vision modalities by using grafted networks

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 58fcac0c-ca4d-4024-b2bd-1e0899406bbe · outbound

This paper cites Event-based Simultaneous Localization and Mapping: A Comprehensive Survey.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Event-based Simultaneous Localization and Mapping: A Comprehensive Survey

Reference 27

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Source-reported events for the cited work

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Observation 6d60503b-e891-4a43-9d74-3e7d92951df5 · outbound

This paper cites Semi-supervised 2d hu- man pose estimation driven by position inconsistency pseudo label correction module.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Semi-supervised 2d hu- man pose estimation driven by position inconsistency pseudo label correction module

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a800c8de-92ac-4f0a-8555-fe37b8bc319c · outbound

This paper cites Deepercut: A deeper, stronger, and faster multi-person pose estimation model.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Deepercut: A deeper, stronger, and faster multi-person pose estimation model

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.600546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.883645Z digest=sha256:4f6d82bd8e3e383dbc3bb7f95f4303dc248abfd841df706010eadc25ca7688cb

Observation ee3c8f56-974b-4230-b7f2-ee14a7f34d8a · outbound

This paper cites Multi-person pose estima- tion with local joint-to-person associations.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Multi-person pose estima- tion with local joint-to-person associations

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a2591386-b4d3-4657-a8e7-3b08b3b9c28b · outbound

This paper cites Towards ro- bust event-based networks for nighttime via unpaired day-to- night event translation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Towards ro- bust event-based networks for nighttime via unpaired day-to- night event translation

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d06e9c4e-3307-442f-9230-42cb2500a905 · outbound

This paper cites Unsupervised domain adaptation for training event-based networks using contrastive learning and uncorrelated conditioning.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Unsupervised domain adaptation for training event-based networks using contrastive learning and uncorrelated conditioning

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.580573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.890014Z digest=sha256:4412c160ad3b196aa5098abd5c7f624caea6009bc41fc887b740d0c39266c32c

Observation fd6755c2-1b0f-4606-ad62-ebac970d8664 · outbound

This paper cites Evhandpose: Event-based 3d hand pose estimation with sparse supervision.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Evhandpose: Event-based 3d hand pose estimation with sparse supervision

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.573700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.892647Z digest=sha256:8a38c703662c7963ad6ac0086d00b2cce29ec19ea142a9d7c36236b668c779c5

Observation 424a09ff-c5e9-425a-b969-4b77ffb2849e · outbound

This paper cites Complementing event streams and rgb frames for hand mesh reconstruction.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Complementing event streams and rgb frames for hand mesh reconstruction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.566375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.894732Z digest=sha256:34c8d4a3a71342a7db7adaef68881877ddbda890885d3fa6f7bca5d74c6ecccf

Observation 8b2ec3cd-f221-495e-b8b7-d2c63e89c1ad · outbound

This paper cites A unified framework for domain adaptive pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras A unified framework for domain adaptive pose estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.558563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.896734Z digest=sha256:7e84dc76492704489fb4abb70e0afa329805f7baddd60813165eebbb3426c87f

Observation c5f97591-5b41-4d7e-a48d-296d5e9eeecc · outbound

This paper cites Ev-tta: Test-time adaptation for event-based object recognition.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Ev-tta: Test-time adaptation for event-based object recognition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.550506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.899300Z digest=sha256:6b9cb92313623358a2b7bb708a99d590af6ffcfd1492cf99f3edf09d67ad5886

Observation 8309b0f0-1fdd-46d9-b744-c9fea67b874c · outbound

This paper cites CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:45:00.213735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.901404Z digest=sha256:4fcf1879e673b82881e83766e768e8efe44b0cb8ecb6ac7ac9d0cf0e8d2683a1

Observation 9ee9068d-6495-4352-9b2e-ce61902e74a8 · outbound

This paper cites Frequency- aware event-based video deblurring for real-world motion blur.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Frequency- aware event-based video deblurring for real-world motion blur

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.542487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.903635Z digest=sha256:02803fa031fe32560f20e572fab1cbf61eb020c0eff7bcd23cad3be47a7fd245

Observation ba1b0478-2316-401f-9abd-c4fa82f4c0c4 · outbound

This paper cites Towards real-world event-guided low-light video enhancement and deblurring.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Towards real-world event-guided low-light video enhancement and deblurring

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.535892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.906330Z digest=sha256:2bc02aaf40598a341b7db0507e9cb113297b6beeb9d19581e9ce223f1ac4a727

Observation df7b0879-458d-444a-b4e2-ce27dee90b1b · outbound

This paper cites Pifpaf: Composite fields for human pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Pifpaf: Composite fields for human pose estimation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.528588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.908620Z digest=sha256:cdc621505f02f38e110b3d4f759e268c4efe3b7d462dbff6288f15b71417d14f

Observation 9f2c1034-5cfe-4248-a703-2d129d77239f · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.521209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.911009Z digest=sha256:9132bd7b64e034754b1d365862960dfd4551be423dca8bf485532be0a5c40a6a

Observation 0d6f3b47-82df-4268-9de8-b9cdb0a60a47 · outbound

This paper cites Event-assisted low-light video object segmentation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Event-assisted low-light video object segmentation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:59.913101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:59.913101Z digest=sha256:5fdaa75607fc0c8753f5d2f8d8f842a62721151a19715037cf4417071b14b227

Observation d790142c-e8cd-4290-9157-04a2dc33eccf · outbound

This paper cites Towards robust event-guided low-light image en- hancement: a large-scale real-world event-image dataset and novel approach.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Towards robust event-guided low-light image en- hancement: a large-scale real-world event-image dataset and novel approach

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.509797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.915247Z digest=sha256:9fdadfcc102e4c379c2711c0835cddbb0c607c365f238dec4f96330ba1ee46d6

Observation 54210cf6-1d16-41cd-b961-bc8ce2e71dd5 · outbound

This paper cites Coherent event guided low-light video en- hancement.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Coherent event guided low-light video en- hancement

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.503495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.917708Z digest=sha256:8a4618e41ab6940777536d1fd5ae73417afd2ddd90bb85a747e40e57dbe46e1e

Observation e75f22e9-6c52-4460-8b6a-adb721a6b60c · outbound

This paper cites Seeing motion at nighttime with an event camera.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Seeing motion at nighttime with an event camera

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.497165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.919590Z digest=sha256:74c0abbe7c330cf6a16415a499c0ade41e792c677b42d2a58d5f583eb50980e1

Observation bf456f9c-2da2-47d8-9753-e6383b1d84ec · outbound

This paper cites Investigating depth domain adaptation for efficient human pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Investigating depth domain adaptation for efficient human pose estimation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.490090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.921938Z digest=sha256:369ce223595bbe4c9ff45380a0e01f0b5bf8ba6ed751120c9983356779b778d9

Observation 9bb8a578-8588-4c9e-8e0e-308930126d71 · outbound

This paper cites Bridging the gap between events and frames through unsupervised domain adaptation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Bridging the gap between events and frames through unsupervised domain adaptation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.482473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.923869Z digest=sha256:769af2acc73af1f4ab74f705c62138adbc82e7a5b685ac71d949fe3ba0756224

Observation f26cd6a2-bbe1-4b9d-b4e6-14b9b4d9a2eb · outbound

This paper cites Even- tego3d: 3d human motion capture from egocentric event streams.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Even- tego3d: 3d human motion capture from egocentric event streams

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.475947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.925691Z digest=sha256:6fd0a65bf0959e63abe9f7a400ce6f849479505fe3b9d900b2f9cbf859a4a75a

Observation 9c1a0c72-81f4-451a-9295-b47c3a2c570f · outbound

This paper cites EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:45:00.202794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.927907Z digest=sha256:eef519deb5de7beaed783f66406fd9ae56356ef42f21452604300264672bc3b4

Observation 5100ed89-b00c-4e64-8d5a-0bd3ceb0b08f · outbound

This paper cites Dif- ferentiable event stream simulator for non-rigid 3d tracking.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Dif- ferentiable event stream simulator for non-rigid 3d tracking

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.469747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.930220Z digest=sha256:a3d1f5937743ce4c9db3159af4b5302e0035d905cff0da29161889f0ff1d36af

Observation 01987b2b-e588-4498-9217-866299cce77d · outbound

This paper cites Stacked hour- glass networks for human pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Stacked hour- glass networks for human pose estimation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.463523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.932485Z digest=sha256:91c736e437cce8cdec88625c9ca5cf3c68ba1d697d427449fcebe430b3d33dac

Observation f7bef9bd-23b0-442f-9c36-d14f3f424341 · outbound

This paper cites Associative embedding: End-to-end learning for joint detection and group- ing.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Associative embedding: End-to-end learning for joint detection and group- ing

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.456726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.934919Z digest=sha256:d7f9bdd5acc2460bc8e2971f949cd4eb9f864e23244a81780d235cc0cbf97721

Observation 291498fd-3959-4b33-bef5-cd9a41e4caf6 · outbound

This paper cites Towards accurate multi-person pose estimation in the wild.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Towards accurate multi-person pose estimation in the wild

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.450280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.937052Z digest=sha256:37bae4fc2cc82f122e08f52e071b9596d1ff19dd8099102af7be20069fee107d

Observation aae04102-8228-4e23-b0c2-5db2565800a2 · outbound

This paper cites Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:59.939206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:59.939206Z digest=sha256:9709875bff0442879917fb18e17cdbd21d8eff0608c2f0ebbe4b10de3a3c090f

Observation aab63c6c-76d2-4cd9-971c-1002235907ad · outbound

This paper cites Blur2blur: Blur conversion for unsupervised image deblurring on unknown domains.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Blur2blur: Blur conversion for unsupervised image deblurring on unknown domains

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.444092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.941677Z digest=sha256:a3a5b352acf8b9af25eabd43b1581ce1cf11745f211d292bee44ee0ce32b14b0

Observation bc529c05-a899-4e49-8bde-7107787b8310 · outbound

This paper cites Deepcut: Joint subset partition and labeling for multi person pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Deepcut: Joint subset partition and labeling for multi person pose estimation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.437727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.943663Z digest=sha256:253d4758b7397217c996bb6d627e5689b8f13a0333f1e25bcd7a5d1d220db1f0

Observation 15b64436-0df5-4337-982c-8fa1caed0532 · outbound

This paper cites Da4event: towards bridging the sim-to- real gap for event cameras using domain adaptation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Da4event: towards bridging the sim-to- real gap for event cameras using domain adaptation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.431525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.945818Z digest=sha256:1f44509b9a114dacb3c7f06d34291f7ab6b13b6d8cfd9e3ada90a67613f60e00

Observation 16b650e5-8545-47c7-bdb6-360e90b4a586 · outbound

This paper cites Self-supervised au- toregressive domain adaptation for time series data.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Self-supervised au- toregressive domain adaptation for time series data

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.425641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.948147Z digest=sha256:5641bbbe5d810acc6f2eff3e6ab9599dedac60194084b4c2a3c37a45024efae2

Observation f1fce58b-d088-432f-bd32-127358f3d2e7 · outbound

This paper cites Real-world blur dataset for learning and benchmarking de- blurring algorithms.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Real-world blur dataset for learning and benchmarking de- blurring algorithms

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.419368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.950481Z digest=sha256:e7cee7132698c4383d481bcd5eec56a87fd709025ebc5eb489b09e44addd523c

Observation 0a288995-6de2-449e-851c-57fbf39b28a2 · outbound

This paper cites Eventhands: Real-time neural 3d hand pose estima- tion from an event stream.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Eventhands: Real-time neural 3d hand pose estima- tion from an event stream

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.413308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.953064Z digest=sha256:ba94a3512f40f5b9fb4a945e6ac2b10388ad8a56ee2f9442d4fee732b52482f5

Observation 59102cf4-890d-4d67-a836-737700cd6721 · outbound

This paper cites Deep high- resolution representation learning for human pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Deep high- resolution representation learning for human pose estimation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.406797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.955641Z digest=sha256:74d00e7fcf63973426a218b61f66ea8eec9ca53c9f32924f92642bba8c2eefbb

Observation a3fd5041-9f69-4977-9e2b-45eac147fb69 · outbound

This paper cites Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:45:00.183640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.957868Z digest=sha256:670ba6daab3be562ae26348806c443b8ca66321d2eb39db26d1090e4d02f983b

Observation 123d7022-1bcd-4f2d-9f98-c7179afc0de9 · outbound

This paper cites Event-based fusion for motion deblurring with cross-modal attention.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Event-based fusion for motion deblurring with cross-modal attention

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.400070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.960306Z digest=sha256:8f9df7e2899fd0b28ad05ae4891964a70bbbd4be1410b0876f7664ddd9769429

Observation 8982e0e3-624b-4f51-9421-9678cb5ad88e · outbound

This paper cites Ess: Learning event-based semantic seg- mentation from still images.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Ess: Learning event-based semantic seg- mentation from still images

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.393688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.962352Z digest=sha256:0e5e2ac976f0ebd6e3332b1646b436049c886903713df6ba889fd287ade60545

Observation c9467916-f66b-4184-bd05-d3fb6ddb7ea1 · outbound

This paper cites Motion aware event representation-driven image deblurring.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Motion aware event representation-driven image deblurring

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.386816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.964415Z digest=sha256:7da9d81db004c5561548f85a46b249b34024823664cccaa988aa009a4f18ee9a

Observation 28390fc7-320a-4480-925e-cdbbcab6ffa9 · outbound

This paper cites DirectPose: Direct End-to-End Multi-Person Pose Estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras DirectPose: Direct End-to-End Multi-Person Pose Estimation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:59.966561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:59.966561Z digest=sha256:4ae38c33ed9a05fc562a9d320d9a8d152ea48387d611bf1f40d710d1a9bc0739

Observation cd299421-2842-4852-9975-33c42c79e6a4 · outbound

This paper cites Evdistill: Asynchronous events to end-task learning via bidirectional reconstruction-guided cross-modal knowledge distillation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Evdistill: Asynchronous events to end-task learning via bidirectional reconstruction-guided cross-modal knowledge distillation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.380031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.968938Z digest=sha256:9d82c8627a7952d5d57893b5fcff4eafe7718afdc9722bb0b31db56a4e74fe96

Observation 4e408f86-cc22-4e99-a24b-c1f292d447b2 · outbound

This paper cites Revisit event gener- ation model: Self-supervised learning of event-to-video recon- struction with implicit neural representations.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Revisit event gener- ation model: Self-supervised learning of event-to-video recon- struction with implicit neural representations

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.373637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.971656Z digest=sha256:7602d437d6c9091b6cc68a02c5d5a248777702c47edf6d07839672064eb0c88b

Observation 84eab59c-aaf9-4089-bd35-e006dc09fb99 · outbound

This paper cites Convolutional pose machines.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Convolutional pose machines

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.366767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.974491Z digest=sha256:978bbadc368ada76f4349a005216f60a90d53e62c74c2b4cfcedd65a3149ff39

Observation 6d899226-19c3-4edf-b736-eebc7ac0f0d2 · outbound

This paper cites Event- based video reconstruction using transformer.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Event- based video reconstruction using transformer

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.359489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.977274Z digest=sha256:b21c84205cdb93ad8fc17fad8e546aa48306cf3339b163bb14c53b7e2f906a16

Observation f4fcd54c-b78b-41c8-af74-5e4fc9d00a00 · outbound

This paper cites Cbam: Convolutional block attention module.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Cbam: Convolutional block attention module

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.352131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.979393Z digest=sha256:ed195bade8bb1f8981b5d9089bcf0e95e699d42776d17a36d7e0c0e133bdf467

Observation 6899e3b6-ccd5-46a5-b975-1d76d82b7840 · outbound

This paper cites Leod: Label-efficient object detection for event cameras.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Leod: Label-efficient object detection for event cameras

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.344907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.981772Z digest=sha256:76934ce3152a1c4792c85c98f692d152d01399b05cfd39bb2741fc0a21d34d79

Observation d42239f1-7d0f-4718-99a5-f410d5d9d5b0 · outbound

This paper cites Cmda: Cross-modality domain adapta- tion for nighttime semantic segmentation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Cmda: Cross-modality domain adapta- tion for nighttime semantic segmentation

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.337634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.984032Z digest=sha256:4fa927372fd7f28013fa0e8f0f87e5fc5231896eed58f28ce3b05b0db7e8cb32

Observation 83b64eca-f8be-4e25-969c-211ce0c20195 · outbound

This paper cites An empirical study of the collapsing problem in semi- supervised 2d human pose estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras An empirical study of the collapsing problem in semi- supervised 2d human pose estimation

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.329340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.985980Z digest=sha256:e4ab2b702acc282559aa939577bbf866f141dbcbd1532bffe4adc5e41fb0f463

Observation fb6fb01b-d919-466b-b30d-676a73903593 · outbound

This paper cites Eventcap: Monocular 3d capture of high-speed human motions using an event camera.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Eventcap: Monocular 3d capture of high-speed human motions using an event camera

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.321188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.988062Z digest=sha256:681a6e5a54a0e8c6e4b000b1ec384c0f576738464a2824f5dc7e70b6885b74c5

Observation 2bced6b8-6533-4561-9d1f-9577b763fb6f · outbound

This paper cites Reli11d: A comprehensive multimodal human motion dataset and method.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Reli11d: A comprehensive multimodal human motion dataset and method

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.313742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.990069Z digest=sha256:ef8405e2cad190d72832a10b59d3895fa73c90ff627fe2c4fcd359b3afad9a1c

Observation 7a9769c1-5569-4b67-b2e2-90ff64f9d98f · outbound

This paper cites A dynamic vision sensor with 1% temporal contrast sensitivity and in- pixel asynchronous delta modulator for event encoding.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras A dynamic vision sensor with 1% temporal contrast sensitivity and in- pixel asynchronous delta modulator for event encoding

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.305543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.992400Z digest=sha256:26c99b1c0f97fc4a30d58e5607211b33e5a7ade32b1d1bc4e4249bd6047996e0

Observation 9b37b80c-16c0-4db8-bcfd-2addba8997b8 · outbound

This paper cites Motion deblurring via spatial-temporal collaboration of frames and events.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Motion deblurring via spatial-temporal collaboration of frames and events

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.297145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.994494Z digest=sha256:f7679f07f4fb778ee596bcebbec2d1deeba70a9639ace0d70a2302a499c515a6

Observation d8686caa-3991-4cd0-b1ac-4c05bd4da332 · outbound

This paper cites Learning event guided high dynamic range video re- construction.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Learning event guided high dynamic range video re- construction

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.289377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.996628Z digest=sha256:991a7dd767706c48925720140568464c73987562a9bacae8b1f31652e0bee171

Observation 7b54afc9-b7d1-453c-8505-86a0a36eb299 · outbound

This paper cites Event-guided low- light video semantic segmentation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Event-guided low- light video semantic segmentation

Reference 80

Resolution
verified exact
raw_fallback, observed 2026-08-06T11:45:00.163491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:44:59.998850Z digest=sha256:a6270b9d4eef82315d4d0e5da6b459da8350032d67b02627d162df4d949859a0

Observation 927a3752-c480-427d-8f6c-93b9ba3763b0 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Restormer: Efficient transformer for high-resolution image restoration

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T11:45:00.000923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:45:00.000923Z digest=sha256:9242e8b4b3bb0bcc5f8f586670d7723f09fe5fecc8001eb45e6b12b2b43321cb

Observation 269b689d-8d7b-42fa-bdfc-a1627b5f23f4 · outbound

This paper cites Human from blur: Human pose tracking from blurry images.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Human from blur: Human pose tracking from blurry images

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.275935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:45:00.003258Z digest=sha256:66114148f886fb4e24e70823cdb95df1623941d81bdcd48f211326e01af6d008

Observation 183df836-6eb9-4f4d-bb3c-221821eccf59 · outbound

This paper cites Eventdance: Unsupervised source- free cross-modal adaptation for event-based object recogni- tion.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Eventdance: Unsupervised source- free cross-modal adaptation for event-based object recogni- tion

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.267651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:45:00.005513Z digest=sha256:a2b2ce2d0d0bee99b01411fb73235679f2e9621d700c22c71e1b12203f203527

Observation 16b66c70-35e5-478c-9523-af63fbad76c3 · outbound

This paper cites Semi-supervised video semantic segmentation with inter-frame feature recon- struction.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Semi-supervised video semantic segmentation with inter-frame feature recon- struction

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.260000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:45:00.007840Z digest=sha256:73a96a142b3bbff2b707ab84c8c805a653b0a24f4b47619880bf6830cd56297e

Observation 2c86f131-27ca-4ec9-a297-745822f190ac · outbound

This paper cites Eventhpe: Event-based 3d human pose and shape estimation.

From Sharp to Blur: Unsupervised Domain Adaptation for 2D Human Pose Estimation Under Extreme Motion Blur Using Event Cameras Eventhpe: Event-based 3d human pose and shape estimation

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:45:00.252363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T11:45:00.010060Z digest=sha256:1dae2a841ff64356b359f6f53eab314ece31d49b430e9296b9ffdf29564cd94e

Pith citing papers

No inbound Pith citation observations are available.