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Add an AAAI2024 paper in Intensity-Image Reconstruction from Events
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## <a href="https://www.neuropac.info/">NeuroPAC</a>

## Table of Contents:
- [Survey paper](#survey_paper)
- [Event-based Vision Resources](#event-based-vision-resources)
- [CVPR 2023 Workshop on Event-based Vision: June 19, 2023.](#cvpr-2023-workshop-on-event-based-vision-june-19-2023)
- [NeuroPAC](#neuropac)
- [Table of Contents:](#table-of-contents)
- [Survey paper](#survey-paper)
- [Workshops](#workshops)
- [Devices and Manufacturers](#devices)
- [Companies working on Event-based Vision](#companies_sftwr)
- [Devices \& Companies Manufacturing them](#devices--companies-manufacturing-them)
- [Companies working on Event-based Vision](#companies-working-on-event-based-vision)
- [Neuromorphic Systems](#neuromorphic-systems)
- [Review papers](#reviewpapers)
- [Bio-inspiration](#reviewpapers-bio)
- [Algorithms, Applications](#reviewpapers-algs)

- [Applications / Algorithms](#algorithms)
- [Feature Detection and Tracking](#feature-detection)
- [Corners](#corner-detection)
- [Particles in fluids](#particle-detection)
- [Eye Tracking](#eye_tracking)
- [Optical Flow Estimation](#optical-flow-estimation)
- [Scene Flow Estimation](#scene-flow-estimation)
- [Reconstruction of Visual Information](#visualization)
- [Intensity-Image Reconstruction](#image-reconstruction)
- [Video Synthesis](#video-synthesis)
- [Image super-resolution](#super-resolution)
- [Joint/guided filtering](#joint-filtering)
- [Tone mapping](#tone-mapping)
- [Visual Stabilization](#visual-stabilization)
- [Polarization Reconstruction](@polarization-reconstruction)
- [Depth Estimation (3D Reconstruction)](#depth-estimation)
- [Monocular](#depth-mono)
- [Stereo](#depth-stereo)
- [Stereoscopic panoramic imaging](#depth-stereo-pano)
- [SLAM (Simultaneous Localization And Mapping)](#slam)
- [Localization, Ego-motion estimation](#slam-localization)
- [Visual Odometry](#visual-odometry)
- [Visual-Inertial Odometry](#visual-inertial)
- [Segmentation](#segmentation)
- [Object Segmentation](#object-segmentation)
- [Motion Segmentation](#motion-segmentation)
- [Pattern recognition](#pattern-recognition)
- [Object Recognition](#object-recognition)
- [Gesture Recognition](#gesture-recognition)
- [Representation / Feature Extraction](#learning-representation-features)
- [Regression Tasks](#learning-regression)
- [Learning Methods / Frameworks](#learning-methods-frameworks)
- [Signal Processing](#signal_processing)
- [Event Denoising](#denoising)
- [Compression](#compression)
- [Control](#control)
- [Obstacle Avoidance](#obstacle_avoidance)
- [Space Applications](#space)
- [Tactile Sensing Applications](#tactile_sensing)
- [Object Pose Estimation](#object_pose_estimation)
- [Human Pose Estimation](#human_pose_estimation)
- [Hand Pose Estimation](#hand_pose_estimation)
- [Indoor Lighting Estimation](#indoor_lighting_estimation)
- [Data Encryption](#data_encription)
- [Nuclear Verification](#nuclear_verification)
- [Optical Communication](#optical_communication)
- [Animal Behavior Monitoring](#animal_monitoring)
- [Optical Applications](#optical_applications)
- [Auto-focus](#auto_focus)
- [Speckle Analysis](#speckle_analysis)
- [Interferometry or Holography](#interferometry_or_holography)
- [Wavefront sensing](#wavefront_sensing)
- [Optical super-resolution](#super_resolution_imaging)
- [Schlieren imaging](#schlieren_imaging)
- [Datasets and Simulators](#datasets)
- [Review / Overview papers](#review--overview-papers)
- [Sensor designs, Bio-inspiration](#sensor-designs-bio-inspiration)
- [Algorithms, Applications](#algorithms-applications)
- [Algorithms](#algorithms)
- [Feature Detection and Tracking](#feature-detection-and-tracking)
- [Corner Detection and Tracking](#corner-detection-and-tracking)
- [Particle Detection and Tracking](#particle-detection-and-tracking)
- [Eye Tracking](#eye-tracking)
- [Optical Flow Estimation](#optical-flow-estimation)
- [Scene Flow Estimation](#scene-flow-estimation)
- [Reconstruction of Visual Information](#reconstruction-of-visual-information)
- [Intensity-Image Reconstruction from events](#intensity-image-reconstruction-from-events)
- [Video Synthesis](#video-synthesis)
- [Image super-resolution](#image-super-resolution)
- [Joint/guided filtering](#jointguided-filtering)
- [Tone Mapping](#tone-mapping)
- [Visual Stabilization](#visual-stabilization)
- [Polarization Reconstruction](#polarization-reconstruction)
- [Depth Estimation (3D Reconstruction)](#depth-estimation-3d-reconstruction)
- [Monocular Depth Estimation](#monocular-depth-estimation)
- [Monocular Depth Estimation using Structured Light](#monocular-depth-estimation-using-structured-light)
- [Monocular Object Reconstruction](#monocular-object-reconstruction)
- [Stereo Depth Estimation](#stereo-depth-estimation)
- [Stereo Depth Estimation using Structured Light](#stereo-depth-estimation-using-structured-light)
- [Stereoscopic Panoramic Imaging](#stereoscopic-panoramic-imaging)
- [SLAM (Simultaneous Localization And Mapping)](#slam-simultaneous-localization-and-mapping)
- [Localization, Ego-Motion Estimation](#localization-ego-motion-estimation)
- [Visual Servoing](#visual-servoing)
- [Mapping](#mapping)
- [Visual Odometry / SLAM](#visual-odometry--slam)
- [Monocular](#monocular)
- [Stereo](#stereo)
- [Visual-Inertial Odometry](#visual-inertial-odometry)
- [Stereo](#stereo-1)
- [Segmentation](#segmentation)
- [Object Segmentation](#object-segmentation)
- [Motion Segmentation](#motion-segmentation)
- [Pattern Recognition](#pattern-recognition)
- [Object Recognition](#object-recognition)
- [Gesture Recognition](#gesture-recognition)
- [Representation / Feature Extraction](#representation--feature-extraction)
- [Regression Tasks](#regression-tasks)
- [Learning Methods / Frameworks](#learning-methods--frameworks)
- [Signal Processing](#signal-processing)
- [Event Denoising](#event-denoising)
- [Compression](#compression)
- [Control](#control)
- [Obstacle Avoidance](#obstacle-avoidance)
- [Space Applications](#space-applications)
- [Tactile Sensing Applications](#tactile-sensing-applications)
- [Object Pose Estimation](#object-pose-estimation)
- [Human Pose Estimation](#human-pose-estimation)
- [Hand Pose Estimation](#hand-pose-estimation)
- [Indoor Lighting Estimation](#indoor-lighting-estimation)
- [Data Encryption](#data-encryption)
- [Nuclear Verification](#nuclear-verification)
- [Optical Communication](#optical-communication)
- [Animal Behavior Monitoring](#animal-behavior-monitoring)
- [Optical Applications](#optical-applications)
- [Auto-focus](#auto-focus)
- [Speckle Analysis](#speckle-analysis)
- [Interferometry or Holography](#interferometry-or-holography)
- [Wavefront sensing](#wavefront-sensing)
- [Optical super-resolution](#optical-super-resolution)
- [Schlieren imaging](#schlieren-imaging)
- [Datasets and Simulators (sorted by topic)](#datasets-and-simulators-sorted-by-topic)
- [Emulators and Simulators](#emulators-and-simulators)
- [Datasets (sorted by topic)](#datasets-sorted-by-topic)
- [Human Pose Estimation](#human-pose-estimation-1)
- [Stereo Depth Estimation](#stereo-depth-estimation-1)
- [Monocular Object Reconstruction](#monocular-object-reconstruction-1)
- [Optical Flow](#optical-flow)
- [Intensity-Image Reconstruction from Events](#intensity-image-reconstruction-from-events-1)
- [Visual Odometry and SLAM](#visual-odometry-and-slam)
- [Segmentation](#segmentation-1)
- [Recognition](#recognition)
- [Event Denoising](#event-denoising-1)
- [Space Situational Awareness](#space-situational-awareness)
- [Outdoor Monitoring / Surveillance](#outdoor-monitoring--surveillance)
- [Software](#software)
- [Drivers](#drivers)
- [Synchronization](#synchronization)
- [Lens Calibration](#calibration)
- [Algorithms](#software-algorithms)
- [Utilities](#software-utilities)

- [Neuromorphic Processors and Platforms](#processors-platforms)
- [Courses](#teaching)
- [Theses and Dissertations](#theses)
- [Dissertations](#theses-phd)
- [Master's Theses](#theses-master)
- [People / Organizations](#people)
- [EETimes articles](#press-eetimes)
- [Drivers](#drivers)
- [Synchronization](#synchronization)
- [Lens Calibration](#lens-calibration)
- [Algorithms](#algorithms-1)
- [Utilities](#utilities)
- [Neuromorphic Processors and Platforms](#neuromorphic-processors-and-platforms)
- [Courses (Educational content)](#courses-educational-content)
- [Theses and Dissertations](#theses-and-dissertations)
- [Dissertations](#dissertations)
- [Master's (and Bachelor's) Theses](#masters-and-bachelors-theses)
- [People / Organizations](#people--organizations)
- [Press EETimes](#press-eetimes)
- [Press](#press)
- [Contributing](#contributing)

___
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- <a name="Liu23tpami"></a>Liu, S., Dragotti, P.L.,
*[Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events](https://doi.org/10.1109/TPAMI.2023.3278940)*,
IEEE Trans. Pattern Anal. Machine Intell. (TPAMI), 2023. [Code](https://github.com/pld-group/V2E2V)
- <a name="Qu24aaai"></a>Qu, Q., Shen, Y., Chen, X., Chung, Y.Y., Liu, T.,
*[E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning](https://arxiv.org/abs/2401.08117)*,
AAAI Conf. Artificial Intelligence (AAAI), 2024. [Code](https://github.com/VincentQQu/E2HQV)

<a name="video-synthesis"></a>
### Video Synthesis
Expand Down Expand Up @@ -2603,7 +2630,7 @@ IEEE Robotics and Automation Letters (RA-L), 2021. [Dataset](http://rpg.ifi.uzh.
- [EV-IMO Event based Independently Moving Objects dataset](https://better-flow.github.io/evimo/) associated to the paper [EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras](#Mitrokhin19iros) ([motion vector flow](https://github.com/better-flow/evimo/blob/master/tools/evimo_flow.py) added Jan 2022)
- [Chaney et al., CVPRW 2023](#Chaney23cvprw), *M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset*

### Intensity-Image Reconstruction from events
### Intensity-Image Reconstruction from Events
- [Bardow et al., CVPR2016](#Bardow16cvpr), [Four sequences](http://wp.doc.ic.ac.uk/pb2114/datasets/)
- [Scheerlinck et al., ACCV2018](#Scheerlinck18accv), *Continuous-time Intensity Estimation Using Event Cameras*. [Website](https://cedric-scheerlinck.github.io/continuous-time-intensity-estimation)
- <a name="Scheerlinck19cvprw"></a>Scheerlinck, C., Rebecq, H., Stoffregen, T., Barnes, N., Mahony, R., Scaramuzza, D.,
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