Negation of the quantum mass function for multisource quantum information fusion with its application to pattern classification
F Xiao, W Pedrycz - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
In artificial intelligence systems, a question on how to express the uncertainty in knowledge
remains an open issue. The negation scheme provides a new perspective to solve this …
remains an open issue. The negation scheme provides a new perspective to solve this …
Self-supervised learning of event-based optical flow with spiking neural networks
J Hagenaars, F Paredes-Vallés… - Advances in Neural …, 2021 - proceedings.neurips.cc
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 …
E-raft: Dense optical flow from event cameras
M Gehrig, M Millhäusler, D Gehrig… - … Conference on 3D …, 2021 - ieeexplore.ieee.org
We propose to incorporate feature correlation and sequential processing into dense optical
flow estimation from event cameras. Modern frame-based optical flow methods heavily rely …
flow estimation from event cameras. Modern frame-based optical flow methods heavily rely …
Time-ordered recent event (tore) volumes for event cameras
Event cameras are an exciting, new sensor modality enabling high-speed imaging with
extremely low-latency and wide dynamic range. Unfortunately, most machine learning …
extremely low-latency and wide dynamic range. Unfortunately, most machine learning …
Moving object detection for event-based vision using graph spectral clustering
Moving object detection has been a central topic of discussion in computer vision for its wide
range of applications like in self-driving cars, video surveillance, security, and enforcement …
range of applications like in self-driving cars, video surveillance, security, and enforcement …
Event-based motion segmentation with spatio-temporal graph cuts
Identifying independently moving objects is an essential task for dynamic scene
understanding. However, traditional cameras used in dynamic scenes may suffer from …
understanding. However, traditional cameras used in dynamic scenes may suffer from …
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
X Zheng, L Wang - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
In this paper we make the first attempt at achieving the cross-modal (ie image-to-events)
adaptation for event-based object recognition without accessing any labeled source image …
adaptation for event-based object recognition without accessing any labeled source image …
EDFLOW: Event driven optical flow camera with keypoint detection and adaptive block matching
M Liu, T Delbruck - IEEE Transactions on Circuits and Systems …, 2022 - ieeexplore.ieee.org
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 …
Blinkflow: A dataset to push the limits of event-based optical flow estimation
Event cameras provide high temporal precision, low data rates, and high dynamic range
visual perception, which are well-suited for optical flow estimation. While data-driven optical …
visual perception, which are well-suited for optical flow estimation. While data-driven optical …
Event-Aided Time-to-Collision Estimation for Autonomous Driving
Predicting a potential collision with leading vehicles is an essential functionality of any
autonomous/assisted driving system. One bottleneck of existing vision-based solutions is …
autonomous/assisted driving system. One bottleneck of existing vision-based solutions is …