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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 7 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 2026-08-06T06:34:29.942622+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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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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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

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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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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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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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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

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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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Source-reported events for the cited work

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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

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+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

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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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 2026-08-06T06:34:29.942622+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.890014Z digest=sha256:f3fff7e5701d103c95345bc6670d4dbdfd32acb69068593eb386570165ce1fdb

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.892647Z digest=sha256:fc777dec695afdb7e3fbe7f09337968ea010808b5e0ad3544a8d58c2e9f471ac

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.894732Z digest=sha256:deefa2e30b974c8ad41a01bf8dc4196504ecce0d45689c1090214510adf63475

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.896734Z digest=sha256:ad27712c1b08ef3ee5fbe899dc6d686bab48cc2d08da8675c82eb241fd1aeb10

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.899300Z digest=sha256:c69609a1d0708b3ed5286d55c4c2cf7ed6711683e2c41a97de9a492bdf7861c4

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.901404Z digest=sha256:f234b878b5d5e8620d4e79616c08788067c93165c83ccf0b50501718e764262c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.903635Z digest=sha256:173cb1c5bb8dd925b90050d582ec89f5920d557f6b42640628b835824c152400

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.906330Z digest=sha256:fc2719d9f6a67aeb74ae353dbc7e2debb4d2798a36471797dc8ece587a8adcdd

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.908620Z digest=sha256:83ee6bee8db28ac628653b4bb0e0292804d5f59ea130e621cd6f88b2bf878476

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.911009Z digest=sha256:48435c91d8d5b1138a51d6108a966c29bfacf720d87829d06c09cc79065882cf

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=sha256:2956828c7d9244665bb4170d2bad32b92720fd7bd71c69fb8ec438df29a2e690

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.915247Z digest=sha256:65055405400940272e730d4cfaea11f38cc6ffc0fdaa173994ad4c3300d694b3

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.917708Z digest=sha256:7902d8ff0e5a93681af42152f796c7f0548936c9cc628735cf1bd3193ec5fe3b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.919590Z digest=sha256:4ff2db12907add14e4e89aa9ff1f63783a06d91924551a958c89aa9a67b60eef

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.921938Z digest=sha256:fb1b90fa44e3e924e0909b945d651722a02133b1534e2e206635e98acc9e81d0

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.923869Z digest=sha256:f029d0796c4583bfde0b9e76518e34efc2a0d352d9fbcdd03e08be3cb6bacc7f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.925691Z digest=sha256:5fe554f1b2811d054636672af790db95ee717aa86c526f8798d93e8920dcf082

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.927907Z digest=sha256:def973f364a88a122684a39f210fef07a13356ffe340f2ad8b8f5c038825e563

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.930220Z digest=sha256:abce1a5a6c739ad4ba47add9576a437f7bbe2c11ae8ff7729658b235baf29d06

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.932485Z digest=sha256:411955d1e2112b78dbb0ac37d7bb7a4cb6a0d6e5772c9bd2119936429d33d65b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.934919Z digest=sha256:d0420a204012b90d67d7376eebd3ee7530a3849f446a0a0e6f095299f35e236c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.937052Z digest=sha256:e8b7d72a685f0fc613b16043f0e93015d3a4f6d5a1fdb6ed2175af7dfc4168a9

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=sha256:68298ff9c4bf5b5877031facf1405bf31e53b64b31cbaa850eb725df8168faee

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.941677Z digest=sha256:d2d12aac26c1e1dd60312c7f17c23d7c211094df80a7513d25f5e05e4020cd60

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.943663Z digest=sha256:2558f4ee54b152df288a51ab1459054911c62ff8ce6a313e05e4747473dd0c36

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.945818Z digest=sha256:7649ef6c209dccb1d66727a749eca582106d53960c387461c69fa6c86cd97c6d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.948147Z digest=sha256:c76ca61ab64a2e478ffae327aeea59797ead4586d443777cb89160a165654f5e

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.950481Z digest=sha256:21d5385da00a6b1cf898338828c085dace2c514833681ad19f42392b2c3950cc

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.953064Z digest=sha256:529442ed5da0569c28b010db9cb3fc3d1776ba036fb98b1e241b2b6ef59357bf

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.955641Z digest=sha256:ca736dc5c17f9fe7df6a34c00032e34e3c2de0a5f9300fe3cdcdfcabbfff7374

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.957868Z digest=sha256:b27b2610fee76831924de70d5b1b467d7e4705527d594453e298a8b6e4549129

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.960306Z digest=sha256:9d31e6ff770cd2a36cee8a743143776707abd230b681f29f98ba930ff49f5bde

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.962352Z digest=sha256:effdd6e9cb19b30557537661fd8f0fa483ebd1e646e8a42966b2dd194c683463

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.964415Z digest=sha256:febbec441c857ac32b8bbfa314efbf37468779d01bae5f34cb1ac99589f99342

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=sha256:9d995d761665314517c24349dad93ba5bfaf35d4f00390d85accd8c76773b4ef

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.968938Z digest=sha256:bc90cd9c6db2323186853b4a7ad8a2a1e3986c1c07a8221033d0fe69384dfb96

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.971656Z digest=sha256:20e0f3658958ebb1b6687e25a2c4aeecb36c0012a264f8ac6f6c832cdd74817d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.974491Z digest=sha256:3d6d5078225e075b4ec3e6cd06cf3b1a882ce47838acad126d4dcf861077b1e3

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.977274Z digest=sha256:68862991796469c6eeb86a31463277030fabe6fb2302c80b840ecc192a8f769b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.979393Z digest=sha256:5fd67a246ca8cce2855b158407f7c81c55daf3268d70c6b11322cd5c98dc3047

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.981772Z digest=sha256:f873b84a7d7ceb98da8be37dcd5c67f67fd9c85e365189a0b7d99cae0bb687af

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.984032Z digest=sha256:9c485d5a00f8557518777680b888df1b2a83472b658445d173fb985fdc6a0ea6

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.985980Z digest=sha256:669ed537104c0ba943bdaa8383e3b4cff3f0601a540f7332f840b9cc4fde6709

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.988062Z digest=sha256:0c41c6c6f8fff1c2c57181f6513f61faaadd2475a87c1abe9753ede395bd209c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.990069Z digest=sha256:07f76cf74d7ca45c9096f0400c9e93e397eca8b3b68c2d5df873bfc005925e2d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.992400Z digest=sha256:1491e80596d79c6bde445f437e79c05c9eaf40a8a732f2d7e2cb38c1c404137c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.994494Z digest=sha256:c0d7f9e15ca24902bc9f25d0bd2b911ab419c80c98c8b51e71d2f77b15f4ecb8

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.996628Z digest=sha256:b18f9c312961a3977ec38a76213c024bec6b339bd76c2841dd7db2308931ba01

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:44:59.998850Z digest=sha256:90f0431c2f5df2e255ce4f06d30c087d2f5cde386f298ef48a5ddb0762148e1f

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:b2e7765eb191bb770de5fe82ee0f1b330a88cc2f8fa1e67cf325dd0a3be59f18

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:45:00.003258Z digest=sha256:d0853ca38ffa8932a69ccff371062f96147cf4d68283fadddfc983c0a303086d

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:45:00.005513Z digest=sha256:5b230b616a1324e08528e40edc2cbbc288d3f0777a16ba1fdf6014d633e69f76

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:45:00.007840Z digest=sha256:cacffe07975418801ce8fc09b626dbdd1f779cae3c9fa861312c0bc90a83ff5f

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-08-06T11:45:00.010060Z digest=sha256:94cccb0235278c644b40c2bc8f88fa8dd62a6474ab6d8f6f79ace04c59f31fc3

Pith citing papers

No inbound Pith citation observations are available.