Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:08:14.190813Z
Paper Citation Record · LEDGER
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation
As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.03512.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact1
- verified fuzzy39
- unresolved9
- parse uncertain0
- malformed identifier3
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 23bcaa47-51e5-4b3b-8caa-4369079444af · outbound
This paper cites Asynchronous frameless event-based optical flow.Neural Networks, 27:32–37, 2012.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Asynchronous frameless event-based optical flow.Neural Networks, 27:32–37, 2012
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.313842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 802762af-0d6f-4ddd-9d68-310726e95149 · outbound
This paper cites Real- time optical flow for vehicular perception with low-and high- resolution event cameras.IEEE Transactions on Intelligent Transportation Systems, 23(9):15066–15078, 2021.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Real- time optical flow for vehicular perception with low-and high- resolution event cameras.IEEE Transactions on Intelligent Transportation Systems, 23(9):15066–15078, 2021
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.298138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation db795ff2-92e2-4eb6-a684-5e17e0e14061 · outbound
This paper cites A differentiable recurrent surface for asynchronous event-based data.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation A differentiable recurrent surface for asynchronous event-based data
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.284761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1fa79296-1f32-4436-889c-56c750dfa5eb · outbound
This paper cites Explicit motion disen- tangling for efficient optical flow estimation.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Explicit motion disen- tangling for efficient optical flow estimation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.270828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a7d39459-6ab0-43ce-9e80-0884b4a80e2d · outbound
This paper cites Spatio-temporal recurrent networks for event-based optical flow estimation.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Spatio-temporal recurrent networks for event-based optical flow estimation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.258264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 596b70be-d037-4bce-95a4-6c2227fc36d0 · outbound
This paper cites Flownet: Learning optical flow with convolutional networks.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Flownet: Learning optical flow with convolutional networks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.245441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 69767bff-bd4f-4c76-8d64-18f515b10998 · outbound
This paper cites A unifying contrast maximization framework for event cam- eras, with applications to motion, depth, and optical flow estimation.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation A unifying contrast maximization framework for event cam- eras, with applications to motion, depth, and optical flow estimation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:09.686694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5fba685-8e21-48b3-8398-b24d010f149c · outbound
This paper cites Davison, J ¨org Conradt, Kostas Daniilidis, and Davide Scaramuzza.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Davison, J ¨org Conradt, Kostas Daniilidis, and Davide Scaramuzza
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.222813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 579272c7-cad2-4c1a-8db1-8f4eb40112f9 · outbound
This paper cites Im2flow: Motion hallucination from static images for action recogni- tion.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Im2flow: Motion hallucination from static images for action recogni- tion
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.209927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4577b204-d41d-4bc3-9223-8e41ab01e3ed · outbound
This paper cites End-to-end learning of repre- sentations for asynchronous event-based data.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation End-to-end learning of repre- sentations for asynchronous event-based data
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:09.873671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 061e737d-28a9-499a-b9b5-294ddf1857ca · outbound
This paper cites Dsec: A stereo event camera dataset for driv- ing scenarios.IEEE Robotics and Automation Letters, 6(3): 4947–4954, 2021.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Dsec: A stereo event camera dataset for driv- ing scenarios.IEEE Robotics and Automation Letters, 6(3): 4947–4954, 2021
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.187335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3bd6490a-4f90-45b0-a65c-35f14388260c · outbound
This paper cites E-raft: Dense optical flow from event cam- eras.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation E-raft: Dense optical flow from event cam- eras
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.173407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7b66a9ca-7948-4ea2-8329-34166c95084c · outbound
This paper cites Dense continuous-time optical flow from event cameras.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Dense continuous-time optical flow from event cameras
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.161125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b2639145-4826-4594-a841-a4041165304c · outbound
This paper cites Squeeze-and-excitation net- works.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Squeeze-and-excitation net- works
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.145976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 68b10607-e844-4e68-ab86-7eeade4decf9 · outbound
This paper cites Flowformer: A transformer architecture for optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Flowformer: A transformer architecture for optical flow
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.133859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 63b2b1dc-4ab0-41bf-b937-9faa1305c851 · outbound
This paper cites Ccmr: high resolution optical flow estimation via coarse-to-fine context-guided motion reasoning.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Ccmr: high resolution optical flow estimation via coarse-to-fine context-guided motion reasoning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.121474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6761805f-8ff5-45e1-a686-5c914d946bd0 · outbound
This paper cites Learning to estimate hidden motions with global motion aggregation.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Learning to estimate hidden motions with global motion aggregation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.107691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 76c92ee3-8715-4eab-a581-dc02a155acf6 · outbound
This paper cites Tea: Temporal excitation and aggregation for action recognition.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Tea: Temporal excitation and aggregation for action recognition
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.094848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 06c54873-7ad0-4da2-ac1d-2c0bb9024f20 · outbound
This paper cites Blinkflow: A dataset to push the limits of event-based optical flow estimation.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Blinkflow: A dataset to push the limits of event-based optical flow estimation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.081522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a11de4f-e98b-46e8-9e8c-189fa4b30150 · outbound
This paper cites Flow-Guided Sparse Transformer for Video Deblurring.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Flow-Guided Sparse Transformer for Video Deblurring
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:11.127769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bfcdd1e-1266-4a09-842b-0881eee39a59 · outbound
This paper cites Tma: Temporal motion aggregation for event-based optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Tma: Temporal motion aggregation for event-based optical flow
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.069229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 31900f0c-6dc6-4eea-8a0e-89185b714710 · outbound
This paper cites Block-matching optical flow for dynamic vision sensors: Algorithm and fpga implemen- tation.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Block-matching optical flow for dynamic vision sensors: Algorithm and fpga implemen- tation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.054963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1e8099b5-7f3f-4b33-af0b-933cf5ef3c42 · outbound
This paper cites ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation ABMOF: A Novel Optical Flow Algorithm for Dynamic Vision Sensors
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:08:14.372424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 286f9d53-46a5-4f92-a71d-40e15f917a95 · outbound
This paper cites Learning by distillation: a self-supervised learning frame- work for optical flow estimation.IEEE transactions on pat- tern analysis and machine intelligence, 44(9):5026–5041,.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Learning by distillation: a self-supervised learning frame- work for optical flow estimation.IEEE transactions on pat- tern analysis and machine intelligence, 44(9):5026–5041,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.040310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 54d22c69-24c1-4966-95e2-45f211417004 · outbound
This paper cites Oiflow: Occlusion-inpainting op- 9 tical flow estimation by unsupervised learning.IEEE Trans- actions on Image Processing, 30:6420–6433, 2021.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Oiflow: Occlusion-inpainting op- 9 tical flow estimation by unsupervised learning.IEEE Trans- actions on Image Processing, 30:6420–6433, 2021
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.023384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d5cd0931-f331-4f59-a95e-658eacaa9607 · outbound
This paper cites Decoupled Weight Decay Regularization.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Decoupled Weight Decay Regularization
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:11.965497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90387ca5-db25-4704-a29d-6701f0c0e377 · outbound
This paper cites An iterative image reg- istration technique with an application to stereo vision.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation An iterative image reg- istration technique with an application to stereo vision
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:17.002406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 867ea289-d5dc-4277-9194-b7bac15cbe95 · outbound
This paper cites Single image optical flow estimation with an event camera.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Single image optical flow estimation with an event camera
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.986882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8e34f516-cd4d-4d6c-b5da-0fc7dd0f8ed0 · outbound
This paper cites Taming contrast max- imization for learning sequential, low-latency, event-based optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Taming contrast max- imization for learning sequential, low-latency, event-based optical flow
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.972838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 94ae1992-1143-45fb-a716-728387cbdb9c · outbound
This paper cites Secrets of event-based optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Secrets of event-based optical flow
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.957716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8c74bc54-3514-44cf-be4a-c9f1864e689b · outbound
This paper cites Super-convergence: Very fast training of neural networks using large learn- ing rates.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Super-convergence: Very fast training of neural networks using large learn- ing rates
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:12.617839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15558f38-fdb8-49c3-927b-e7b9dfdba7a1 · outbound
This paper cites Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:12.730328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb8a6dd1-f3a3-4922-9cf0-ae88a55ef797 · outbound
This paper cites Craft: Cross- attentional flow transformer for robust optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Craft: Cross- attentional flow transformer for robust optical flow
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.933844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6544ad6c-5f88-40de-a205-787958a37ad8 · outbound
This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.919045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 83ab8da2-0a5c-4bd2-b8ac-db6de5174b01 · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Raft: Recurrent all-pairs field transforms for optical flow
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.903299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9f574631-51b5-41d1-959b-e72dc0f38e8d · outbound
This paper cites Unsupervised learning of optical flow with cnn-based non-local filtering.IEEE Transactions on Image Processing, 29:8429–8442, 2020.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Unsupervised learning of optical flow with cnn-based non-local filtering.IEEE Transactions on Image Processing, 29:8429–8442, 2020
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.757608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 93c19cc4-5853-419b-ad10-8872b4198cf7 · outbound
This paper cites Learning dense and continuous optical flow from an event camera.IEEE Transactions on Image Processing, 31:7237–7251, 2022.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Learning dense and continuous optical flow from an event camera.IEEE Transactions on Image Processing, 31:7237–7251, 2022
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.500439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e2ea3dbe-caad-42f9-a6b1-746b6e4d95aa · outbound
This paper cites Flow dynamics correction for action recognition.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Flow dynamics correction for action recognition
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.402427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b44e75f1-962b-4d27-a832-335624cfcb9c · outbound
This paper cites Lightweight event-based optical flow estimation via iterative deblurring.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Lightweight event-based optical flow estimation via iterative deblurring
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.205374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation db28894d-4328-429d-9997-319532365bca · outbound
This paper cites Unifying flow, stereo and depth estimation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13941– 13958, 2023.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Unifying flow, stereo and depth estimation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11):13941– 13958, 2023
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:16.020892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9493ecfa-a4c9-47e1-93ca-ba07bc545324 · outbound
This paper cites V olumetric correspon- dence networks for optical flow.Advances in neural infor- mation processing systems, 32, 2019.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation V olumetric correspon- dence networks for optical flow.Advances in neural infor- mation processing systems, 32, 2019
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:15.895363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8810b768-f6eb-4d05-addf-d24964aafc82 · outbound
This paper cites Folt: Fast multiple object tracking from uav- captured videos based on optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Folt: Fast multiple object tracking from uav- captured videos based on optical flow
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:15.807147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e125a785-1ab2-4710-a750-eecabefa0db5 · outbound
This paper cites Spatio- temporal deformable attention network for video deblurring.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Spatio- temporal deformable attention network for video deblurring
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:15.696465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 13e5a7df-2a4f-47dc-ac6a-3e3d54b0cb61 · outbound
This paper cites Dip: Deep inverse patch- match for high-resolution optical flow.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Dip: Deep inverse patch- match for high-resolution optical flow
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:15.519206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 048566fd-2e75-41bb-9e78-d675504e8b50 · outbound
This paper cites The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:15.400684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation efd1da0d-c4dc-4483-81f3-599b9c1593bd · outbound
This paper cites EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:13.780526Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4707bb7-66d1-4bd0-8699-583de9102194 · outbound
This paper cites Unsupervised event-based learning of optical flow, depth, and egomotion.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Unsupervised event-based learning of optical flow, depth, and egomotion
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:15.215224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1190b592-4894-4538-8c03-18f1d7b240fe · outbound
This paper cites an unresolved cited work.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:08:15.023402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c6258ab3-e6b9-4229-b5ce-213e28a56150 · outbound
This paper cites They primarily perform pixel matching or refinement across multiple spatial reso- lutions in frames.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation They primarily perform pixel matching or refinement across multiple spatial reso- lutions in frames
Reference 49
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T11:08:14.878278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 634e0889-4293-453b-a194-af4fd52e62fb · outbound
This paper cites 7 presents a qual- itative comparison of our method with other methods on outdoor day1 sequence of the MVSEC [45].
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation 7 presents a qual- itative comparison of our method with other methods on outdoor day1 sequence of the MVSEC [45]
Reference 50
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T11:08:14.719150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a0696f9d-4fff-465e-93a2-865a538175f5 · outbound
This paper cites w/o” indicating conv1 removed. We setr= 1to bal- ance accuracy and computations. When compared to “w/o.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation w/o” indicating conv1 removed. We setr= 1to bal- ance accuracy and computations. When compared to “w/o
Reference 51
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T11:08:14.647019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ec7e16b7-d999-427b-a2f2-5455a95ecc95 · outbound
This paper cites an unresolved cited work.
EDCFlow: Exploring Temporally Dense Difference Maps for Event-based Optical Flow Estimation Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:08:14.502646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.