Embodied neuromorphic intelligence
The design of robots that interact autonomously with the environment and exhibit complex
behaviours is an open challenge that can benefit from understanding what makes living …
behaviours is an open challenge that can benefit from understanding what makes living …
Event-based vision: A survey
Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
Time lens: Event-based video frame interpolation
State-of-the-art frame interpolation methods generate intermediate frames by inferring object
motions in the image from consecutive key-frames. In the absence of additional information …
motions in the image from consecutive key-frames. In the absence of additional information …
v2e: From video frames to realistic DVS events
To help meet the increasing need for dynamic vision sensor (DVS) event camera data, this
paper proposes the v2e toolbox that generates realistic synthetic DVS events from intensity …
paper proposes the v2e toolbox that generates realistic synthetic DVS events from intensity …
Self-supervised learning of event-based optical flow with spiking neural networks
The field of neuromorphic computing promises extremely low-power and low-latency
sensing and processing. Challenges in transferring learning algorithms from traditional …
sensing and processing. Challenges in transferring learning algorithms from traditional …
Event-based video reconstruction via potential-assisted spiking neural network
Neuromorphic vision sensor is a new bio-inspired imaging paradigm that reports
asynchronous, continuously per-pixel brightness changes called'events' with high temporal …
asynchronous, continuously per-pixel brightness changes called'events' with high temporal …
Combining events and frames using recurrent asynchronous multimodal networks for monocular depth prediction
Event cameras are novel vision sensors that report per-pixel brightness changes as a
stream of asynchronous “events”. They offer significant advantages compared to standard …
stream of asynchronous “events”. They offer significant advantages compared to standard …
Deep learning for hdr imaging: State-of-the-art and future trends
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …
of exposures, which is important in image processing, computer graphics, and computer …
Event-based video reconstruction using transformer
Event cameras, which output events by detecting spatio-temporal brightness changes, bring
a novel paradigm to image sensors with high dynamic range and low latency. Previous …
a novel paradigm to image sensors with high dynamic range and low latency. Previous …
Back to event basics: Self-supervised learning of image reconstruction for event cameras via photometric constancy
F Paredes-Vallés… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Event cameras are novel vision sensors that sample, in an asynchronous fashion,
brightness increments with low latency and high temporal resolution. The resulting streams …
brightness increments with low latency and high temporal resolution. The resulting streams …