Negation of the quantum mass function for multisource quantum information fusion with its application to pattern classification
F **ao, 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
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
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
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 …