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Found 7 papers, 2 papers with code
Inherent Redundancy in Spiking Neural Networks
In this work, we pose and focus on three key questions regarding the inherent redundancy in SNNs.
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
To fully exploit information with event streams to detect objects, a dual-memory aggregation network (DMANet) is proposed to leverage both long and short memory along event streams to aggregate effective information for object detection.
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network
Spiking neural network is a novel event-based computational paradigm that is considered to be well suited for processing event camera tasks.
Continuously Controllable Facial Expression Editing in Talking Face Videos
In this paper, we propose a high-quality facial expression editing method for talking face videos, allowing the user to control the target emotion in the edited video continuously.
Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow
In this paper, we propose an end-to-end training method A^2OF for video frame interpolation with event-driven Anisotropic Adjustment of Optical Flows.
A unified theory of information transfer and causal relation
Information transfer between coupled stochastic dynamics, measured by transfer entropy and information flow, is suggested as a physical process underlying the causal relation of systems.
TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation
Since event camera is a novel sensor, its potential has not been fulfilled due to the lack of processing algorithms.
