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

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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.737380Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.729864Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.716222Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.709297Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.702199Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.694379Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.687504Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.680335Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.673058Z

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.665655Z

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

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:45:00.244790Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.658757Z

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

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:45:00.232927Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.651324Z

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.644183Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.637533Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.630120Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.623402Z

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.616548Z

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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.607629Z

Source-reported events for the cited work

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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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.594006Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:00.587461Z

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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Reference resolution

Outbound references

Pith citing papers