Davide Scaramuzza

papers

1,562

total citations

papers (21)

Time Lens++: Event-Based Frame Interpolation With Parametric Non-Linear Flow and Multi-Scale Fusion

CVPR 2022arXiv

143

citations

ESS: Learning Event-Based Semantic Segmentation from Still Images

ECCV 2022arXiv

116

citations

Event-Aided Direct Sparse Odometry

CVPR 2022arXiv

114

citations

Primal-Dual Mesh Convolutional Neural Networks

NEURIPS 2020arXiv

105

citations

From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection

ICCV 2023arXiv

citations

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control

CVPR 2025arXiv

citations

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames

CVPR 2024arXiv

citations

Event-Based Shape From Polarization

CVPR 2023arXiv

citations

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

ICLR 2025arXiv

citations

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation

ICCV 2023arXiv

citations

Reinforcement Learning Meets Visual Odometry

ECCV 2024arXiv

citations

Data-Driven Feature Tracking for Event Cameras

CVPR 2023arXiv

citations

An N-Point Linear Solver for Line and Motion Estimation with Event Cameras

CVPR 2024arXiv

citations

Reducing the Sim-to-Real Gap for Event Cameras

ECCV 2020arXiv

citations

GG-SSMs: Graph-Generating State Space Models

CVPR 2025

citations

State Space Models for Event Cameras

CVPR 2024

citations

Time Lens: Event-Based Video Frame Interpolation

CVPR 2021

citations

Davide Scaramuzza

papers (21)

Video to Events: Recycling Video Datasets for Event Cameras

Recurrent Vision Transformers for Object Detection With Event Cameras

AEGNN: Asynchronous Event-Based Graph Neural Networks

Event-based Asynchronous Sparse Convolutional Networks

Time Lens++: Event-Based Frame Interpolation With Parametric Non-Linear Flow and Multi-Scale Fusion

ESS: Learning Event-Based Semantic Segmentation from Still Images

Event-Aided Direct Sparse Odometry

Primal-Dual Mesh Convolutional Neural Networks

From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames

Event-Based Shape From Polarization

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation

Reinforcement Learning Meets Visual Odometry

Data-Driven Feature Tracking for Event Cameras

An N-Point Linear Solver for Line and Motion Estimation with Event Cameras

Reducing the Sim-to-Real Gap for Event Cameras

GG-SSMs: Graph-Generating State Space Models

State Space Models for Event Cameras

Time Lens: Event-Based Video Frame Interpolation

papers (21)

Video to Events: Recycling Video Datasets for Event Cameras

Recurrent Vision Transformers for Object Detection With Event Cameras

AEGNN: Asynchronous Event-Based Graph Neural Networks

Event-based Asynchronous Sparse Convolutional Networks

Time Lens++: Event-Based Frame Interpolation With Parametric Non-Linear Flow and Multi-Scale Fusion

ESS: Learning Event-Based Semantic Segmentation from Still Images

Event-Aided Direct Sparse Odometry

Primal-Dual Mesh Convolutional Neural Networks

From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames

Event-Based Shape From Polarization

Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

A 5-Point Minimal Solver for Event Camera Relative Motion Estimation

Reinforcement Learning Meets Visual Odometry

Data-Driven Feature Tracking for Event Cameras

An N-Point Linear Solver for Line and Motion Estimation with Event Cameras

Reducing the Sim-to-Real Gap for Event Cameras

GG-SSMs: Graph-Generating State Space Models

State Space Models for Event Cameras

Time Lens: Event-Based Video Frame Interpolation