activity
20172025
most citedDDD17: End-To-End DAVIS Driving Dataset

98 citations · 183 across the 11 of their papers we have counts for

collaborators

17 papers

eess.IV2025

Towards a physically realistic computationally efficient DVS pixel model

Rui Graca, Tobi Delbruck

Dynamic Vision Sensor (DVS) event camera models are important tools for predicting camera response, optimizing biases, and generating realistic simulated datasets. Existing DVS mod…

cs.CV2024

Steering Prediction via a Multi-Sensor System for Autonomous Racing

Zhuyun Zhou, Zongwei Wu, Florian Bolli +5

Autonomous racing has rapidly gained research attention. Traditionally, racing cars rely on 2D LiDAR as their primary visual system. In this work, we explore the integration of an…

eess.AS202412 cited

Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement

Longbiao Cheng, Ashutosh Pandey, Buye Xu +2

This paper introduces a new Dynamic Gated Recurrent Neural Network (DG-RNN) for compute-efficient speech enhancement models running on resource-constrained hardware platforms. It l…

eess.IV2024

SciDVS: A Scientific Event Camera with 1.7% Temporal Contrast Sensitivity at 0.7 lux

Rui Graca, Sheng Zhou, Brian McReynolds +1

This paper reports a Dynamic Vision Sensor (DVS) event camera that is 6x more sensitive at 14x lower illumination than existing commercial and prototype cameras. Event cameras outp…

physics.ao-ph2022

Measuring diameters and velocities of artificial raindrops with a neuromorphic dynamic vision sensor disdrometer

Jan Steiner, Kire Micev, Asude Aydin +2

Hydrometers that can measure size and velocity distributions of precipitation are needed for research and corrections of rainfall estimates from weather radars and microwave links.…

cs.CV20221 cited

Utility and Feasibility of a Center Surround Event Camera

Tobi Delbruck, Chenghan Li, Rui Graca +1

Standard dynamic vision sensor (DVS) event cameras output a stream of spatially-independent log-intensity brightness change events so they cannot suppress spatial redundancy. Nearl…