Event-based fusion for motion deblurring with cross-modal attention
Traditional frame-based cameras inevitably suffer from motion blur due to long exposure
times. As a kind of bio-inspired camera, the event camera records the intensity changes in …
times. As a kind of bio-inspired camera, the event camera records the intensity changes in …
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 …
Secrets of event-based optical flow
Event cameras respond to scene dynamics and offer advantages to estimate motion.
Following recent image-based deep-learning achievements, optical flow estimation methods …
Following recent image-based deep-learning achievements, optical flow estimation methods …
Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization
Event cameras respond to scene dynamics and provide signals naturally suitable for motion
estimation with advantages, such as high dynamic range. The emerging field of event-based …
estimation with advantages, such as high dynamic range. The emerging field of event-based …
Reducing the sim-to-real gap for event cameras
Event cameras are paradigm-shifting novel sensors that report asynchronous, per-pixel
brightness changes called 'events' with unparalleled low latency. This makes them ideal for …
brightness changes called 'events' with unparalleled low latency. This makes them ideal for …
Event-based motion segmentation by motion compensation
In contrast to traditional cameras, whose pixels have a common exposure time, event-based
cameras are novel bio-inspired sensors whose pixels work independently and …
cameras are novel bio-inspired sensors whose pixels work independently and …
Eventsr: From asynchronous events to image reconstruction, restoration, and super-resolution via end-to-end adversarial learning
Event cameras sense intensity changes and have many advantages over conventional
cameras. To take advantage of event cameras, some methods have been proposed to …
cameras. To take advantage of event cameras, some methods have been proposed to …
Focus is all you need: Loss functions for event-based vision
Event cameras are novel vision sensors that output pixel-level brightness changes ("
events") instead of traditional video frames. These asynchronous sensors offer several …
events") instead of traditional video frames. These asynchronous sensors offer several …
Devo: Depth-event camera visual odometry in challenging conditions
We present a novel real-time visual odometry framework for a stereo setup of a depth and
high-resolution event camera. Our framework balances accuracy and robustness against …
high-resolution event camera. Our framework balances accuracy and robustness against …
EDFLOW: Event driven optical flow camera with keypoint detection and adaptive block matching
Event cameras such as the Dynamic Vision Sensor (DVS) are useful because of their low
latency, sparse output, and high dynamic range. In this paper, we propose a DVS+ FPGA …
latency, sparse output, and high dynamic range. In this paper, we propose a DVS+ FPGA …