The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
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Updated
Mar 12, 2025 - Python
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
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)
Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024
Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
[CVPR'25 Highlight] The official implementation of "GG-SSMs: Graph-Generating State Space Models"
Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Julian Lopez Gordillo (MSc in Artificial Intelligence, 2019-2021).
Event-based Background-Oriented Schlieren (IEEE TPAMI 2023)
Official implementation of our paper "Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models"
Official GitHub repo for Learning Normal Flow Directly from Event Neighborhoods (ICCV2025). It is an easy-to-use API for event-based normal flow prediction.
Event-based dynamic neural radiance fields for generating eventstreams from novel viewpoints and time windows. WACV 2024.
Emulation of event camera data using standard RGB images
Secrets of edge-informed contrast maximization for event-based vision.
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)
Building on our prior work on event-based state-space models, we developed an event-based state-space model based on the Mamba architecture for asynchronous streams of events such as event-based vision, spiking audio and point clouds.
Implementation of DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
Train and Test Event-based Yolo Detection Model
Python implementation of Prophesee ECF file reader and writer
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