The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
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Updated
Oct 3, 2024 - Python
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
Resources Related to Event-based Vision | Event Cameras | DVS
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction (CVPRW 2023)
HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks (IEEE Transactions on Image Processing, 2024)
Event-based Background-Oriented Schlieren (IEEE TPAMI 2023)
Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024
Event-based dynamic neural radiance fields for generating eventstreams from novel viewpoints and time windows. WACV 2024.
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
Repository for the "Vision Algorithms for Mobile Robotics" (VAMR) lecture at the "Robotics and Perception Group" at UZH (for ETH Zurich).
Emulation of event camera data using standard RGB images
Event-based Estimation of Periodic Phenomena Rate using Correlation in 3D - Kolář, J., Špetlík, R., Matas, J. (2024), In Proceedings of the 17th International Conference on Machine Vision (ICMV 2024)
Classification of event data video
Official GitHub repo for Learning Normal Flow Directly from Event Neighborhoods. It is an easy-to-use API for event-based normal flow prediction.
Open source SDK to create applications leveraging event-based vision hardware equipment
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
An open-source Event camera SIMulator (ESIM)
Implementation of DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection - Grimaldi Perrinet (2023)
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