Recurrent vision transformers for object detection with event cameras
Abstract We present Recurrent Vision Transformers (RVTs), a novel backbone for object
detection with event cameras. Event cameras provide visual information with sub …
detection with event cameras. Event cameras provide visual information with sub …
Asynchronous spatio-temporal memory network for continuous event-based object detection
Event cameras, offering extremely high temporal resolution and high dynamic range, have
brought a new perspective to addressing common object detection challenges (eg, motion …
brought a new perspective to addressing common object detection challenges (eg, motion …
State space models for event cameras
Today state-of-the-art deep neural networks that process event-camera data first convert a
temporal window of events into dense grid-like input representations. As such they exhibit …
temporal window of events into dense grid-like input representations. As such they exhibit …
A new spiking convolutional recurrent neural network (SCRNN) with applications to event-based hand gesture recognition
The combination of neuromorphic visual sensors and spiking neural network offers a high
efficient bio-inspired solution to real-world applications. However, processing event-based …
efficient bio-inspired solution to real-world applications. However, processing event-based …
Sodformer: Streaming object detection with transformer using events and frames
DAVIS camera, streaming two complementary sensing modalities of asynchronous events
and frames, has gradually been used to address major object detection challenges (eg, fast …
and frames, has gradually been used to address major object detection challenges (eg, fast …
Eas-snn: End-to-end adaptive sampling and representation for event-based detection with recurrent spiking neural networks
Event cameras, with their high dynamic range and temporal resolution, are ideally suited for
object detection in scenarios with motion blur and challenging lighting conditions. However …
object detection in scenarios with motion blur and challenging lighting conditions. However …
Event Cameras in Automotive Sensing: A Review
Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the
automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras …
automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras …
From chaos comes order: Ordering event representations for object recognition and detection
Abstract Today, state-of-the-art deep neural networks that process events first convert them
into dense, grid-like input representations before using an off-the-shelf network. However …
into dense, grid-like input representations before using an off-the-shelf network. However …
Vmv-gcn: Volumetric multi-view based graph cnn for event stream classification
Event cameras can perceive pixel-level brightness changes to output asynchronous event
streams, and have notable advantages in high temporal resolution, high dynamic range and …
streams, and have notable advantages in high temporal resolution, high dynamic range and …
Embracing events and frames with hierarchical feature refinement network for object detection
In frame-based vision, object detection faces substantial performance degradation under
challenging conditions due to the limited sensing capability of conventional cameras. Event …
challenging conditions due to the limited sensing capability of conventional cameras. Event …