Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:49:38.676381Z
Paper Citation Record · LEDGER
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2412.06359.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T10:52:48.870653Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T12:16:16.734455Z
Reference resolution
50 of 50 outbound references displayed
- verified exact0
- verified fuzzy41
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6f524ba8-8aeb-4422-bac2-814ed20b793a · outbound
This paper cites Monocular Event-Based Vision for Dodging Static Obstacles with a Quadrotor.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Monocular Event-Based Vision for Dodging Static Obstacles with a Quadrotor
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.370509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b9a20d33-1394-416e-9b9f-4b263944dda8 · outbound
This paper cites Unsuper- vised Scale-consistent Depth and Ego-motion Learning from Monocular Video.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unsuper- vised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.358488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 25bd0efe-56c4-4606-81cb-50fa1cb6a57b · outbound
This paper cites EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events EVIMO2: An Event Camera Dataset for Motion Segmentation, Optical Flow, Structure from Motion, and Visual Inertial Odometry in Indoor Scenes with Monocular or Stereo Algorithms
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:49:38.479554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation becabe0b-9478-4095-b097-40f98089cbaa · outbound
This paper cites CNN- based single image obstacle avoidance on a quadrotor.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events CNN- based single image obstacle avoidance on a quadrotor
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.346050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7cd14b34-1f8b-4c1d-b317-ca717b6fe93c · outbound
This paper cites Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.334017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8d1d1022-db8f-40ff-ad13-73372de9979f · outbound
This paper cites Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.322207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8bf513cc-2bf9-476d-aa11-3ca6d5d4d89b · outbound
This paper cites Selection and Cross Sim- ilarity for Event-Image Deep Stereo.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Selection and Cross Sim- ilarity for Event-Image Deep Stereo
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.310036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cb45adfb-145e-4868-ab90-a5120ba10f93 · outbound
This paper cites Tempo- ral Event Stereo via Joint Learning with Stereoscopic Flow.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Tempo- ral Event Stereo via Joint Learning with Stereoscopic Flow
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.298464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f1cec314-2a69-489e-a8dd-8037ea3178c8 · outbound
This paper cites Are We Ready for Au- tonomous Drone Racing? The UZH-FPV Drone Racing Dataset.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Are We Ready for Au- tonomous Drone Racing? The UZH-FPV Drone Racing Dataset
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.286291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e292059b-9d30-4af3-90f3-53bb7ec12d06 · outbound
This paper cites Dy- namic obstacle avoidance for quadrotors with event cameras.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Dy- namic obstacle avoidance for quadrotors with event cameras
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.274725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bae75e95-a43e-41c3-879d-aba684e33580 · outbound
This paper cites DecTrain: Deciding When to Train a DNN Online,.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events DecTrain: Deciding When to Train a DNN Online,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.263309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a7489993-13f9-4357-b223-62dbf8cec629 · outbound
This paper cites A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.251640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation cc019dca-9210-4d74-9b6a-ca47d5b9bc9c · outbound
This paper cites Focus Is All You Need: Loss Functions for Event- Based Vision.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Focus Is All You Need: Loss Functions for Event- Based Vision
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.240066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d2db6cc9-9bd6-45d8-9486-6251ae2fd82e · outbound
This paper cites Event-based Vision: A Survey.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Event-based Vision: A Survey
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.228316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d95c794a-ce22-4564-a9e2-95fba1c9c61b · outbound
This paper cites DSEC: A Stereo Event Camera Dataset for Driving Scenarios.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events DSEC: A Stereo Event Camera Dataset for Driving Scenarios
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.216041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 20aa6b39-6a76-448c-b44d-f42221a2c7a4 · outbound
This paper cites Out of the Room: Generalizing Event-Based Dynamic Motion Seg- mentation for Complex Scenes.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Out of the Room: Generalizing Event-Based Dynamic Motion Seg- mentation for Complex Scenes
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.202811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3b40b56c-317f-4187-bb1e-c1ed9507f06e · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:39.188791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a8955aa9-01e3-4ab6-8e6a-f159cd75593e · outbound
This paper cites Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.176967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d7ab6a14-1753-4226-9f54-27634ff0d577 · outbound
This paper cites Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.164776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8f4e80ec-2b4b-446f-a968-05b19ea71b4b · outbound
This paper cites Motion- prior Contrast Maximization for Dense Continuous-Time Motion Estimation, 2024.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Motion- prior Contrast Maximization for Dense Continuous-Time Motion Estimation, 2024
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.153329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 18793aa8-9a51-4bcf-b2ab-b96f5f9e613d · outbound
This paper cites Self-supervised monocular distance learn- ing on a lightweight micro air vehicle.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Self-supervised monocular distance learn- ing on a lightweight micro air vehicle
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.139746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation af591adf-8cc7-478e-bd66-89ca2949aa6c · outbound
This paper cites Unsupervised Monocular Depth Learning in Dynamic Scenes.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unsupervised Monocular Depth Learning in Dynamic Scenes
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.124806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 47bf8a35-3f82-48c7-bc28-6dd56e230a8f · outbound
This paper cites UFO Depth: Unsupervised learning with flow-based odom- etry optimization for metric depth estimation.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events UFO Depth: Unsupervised learning with flow-based odom- etry optimization for metric depth estimation
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.109935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b723e761-dc45-4293-a8e4-e631000e1ace · outbound
This paper cites Nano Quadcopter Obstacle Avoidance with a Lightweight Monocular Depth Network.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Nano Quadcopter Obstacle Avoidance with a Lightweight Monocular Depth Network
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.097610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8f575313-47b4-4a02-af65-92bfb6058639 · outbound
This paper cites Robot Operating Sys- tem 2: Design, architecture, and uses in the wild.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Robot Operating Sys- tem 2: Design, architecture, and uses in the wild
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.086172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 09a018a2-0b02-40d6-b5e7-8be6b7a37439 · outbound
This paper cites Splatting-Based Synthesis for Video Frame Interpolation.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Splatting-Based Synthesis for Video Frame Interpolation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.074457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a1774bdf-de8f-49f5-a0aa-16c03f69deed · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:39.063564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7ca2f40f-b695-4fd1-902c-790da1203cd3 · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:39.050933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 90e64ca6-d4ed-4ad2-bee6-49dc1824afaf · outbound
This paper cites Paredes-Vallés, J.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Paredes-Vallés, J
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.037593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0cad4c93-71eb-49c4-a205-5a5d416856fd · outbound
This paper cites Depth Distillation: Unsupervised Metric Depth Estimation for UA Vs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Depth Distillation: Unsupervised Metric Depth Estimation for UA Vs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:39.022203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7a2dfec4-51f8-4c0c-b2df-bbf509405fc2 · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:39.007861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation da6300c9-fdd8-4920-8ed9-35922e625df0 · outbound
This paper cites Secrets of Event-based Optical Flow, Depth and Ego-motion Estimation by Contrast Maximiza- tion.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Secrets of Event-based Optical Flow, Depth and Ego-motion Estimation by Contrast Maximiza- tion
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.996642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8fd0cacb-a219-4cb0-ac67-04e674f7c48a · outbound
This paper cites Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.985297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 715ed5e0-34c2-4bad-b9fb-02ec9c23f2a2 · outbound
This paper cites Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.973631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3e825344-376f-4c04-805e-a49464221517 · outbound
This paper cites SfM- Net: Learning of Structure and Motion from Video, 2017.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events SfM- Net: Learning of Structure and Motion from Video, 2017
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.961764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation a6f7f1ea-51da-493d-ade9-cb7ed78ec437 · outbound
This paper cites CoVIO: Online Continual Learning for Visual-Inertial Odometry.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events CoVIO: Online Continual Learning for Visual-Inertial Odometry
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.949363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1cb6c57d-9399-4bb7-92c6-1c09e022081e · outbound
This paper cites CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.936189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 25c97e4a-483d-4e5f-971f-fa48c84068dd · outbound
This paper cites Learning Depth From Monocular Videos Us- ing Direct Methods.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Learning Depth From Monocular Videos Us- ing Direct Methods
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.920097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 37de09e4-b7e2-43a7-a8c5-5af705eeceb8 · outbound
This paper cites Pizer, and Jan-Michael Frahm.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Pizer, and Jan-Michael Frahm
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.905244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9892959a-3719-4dcd-aae7-29759c70f615 · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:38.891082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3c0c5dd7-1a49-4e9a-8f28-d316026638cc · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:38.876184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 08411bf7-c6bc-4c40-bf65-04f9855b5706 · outbound
This paper cites GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.860354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 18986ae5-74cf-43ee-816f-a44e73d296e3 · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:38.845438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0c44b66f-1494-4e2c-bca2-f89953d30d50 · outbound
This paper cites The Mul- tivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events The Mul- tivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.830351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 105e1de2-1110-4361-8912-83fcf6d9363f · outbound
This paper cites Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.815377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation df466210-8bbe-4721-9002-7d08459095e6 · outbound
This paper cites Self-Supervised Event- Based Monocular Depth Estimation Using Cross-Modal Consistency.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Self-Supervised Event- Based Monocular Depth Estimation Using Cross-Modal Consistency
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.798067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b73118a7-55d9-4c0c-abb2-67ac9e4694cc · outbound
This paper cites step 0” (only pre-training) to “step 3k.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events step 0” (only pre-training) to “step 3k
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.768981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5a036c5c-1ef2-4d94-8d1e-06aee4dae233 · outbound
This paper cites For offline training on datasets, we train for 50 epochs with the Adam optimizer and a learning rate of 1e-.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events For offline training on datasets, we train for 50 epochs with the Adam optimizer and a learning rate of 1e-
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.753920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7e85c051-bec5-4ec7-8c3f-2dbaab1efbbf · outbound
This paper cites bilinear.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events bilinear
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:49:38.737249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 82d0c6b6-ea80-477e-b9d5-7177a7ed0dc2 · outbound
This paper cites an unresolved cited work.
On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events Unresolved cited work
Reference 2023
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:49:38.783274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
Observation f0887ccb-6477-4dce-873f-056398d2f9ab · inbound
Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues cites this paper.
Static in Frames, Dynamic in Events: Rethinking Features in Event Cameras as Motion Cues On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
Reference 95
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T10:52:51.954180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.