Low cost and latency event camera background activity denoising
S Guo, T Delbruck - IEEE Transactions on Pattern Analysis and …, 2022 - ieeexplore.ieee.org
Dynamic Vision Sensor (DVS) event camera output includes uninformative background
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …
Within-camera multilayer perceptron dvs denoising
A Rios-Navarro, S Guo… - Proceedings of the …, 2023 - openaccess.thecvf.com
In-camera event denoising can dramatically reduce the data rate of event cameras by
filtering out noise at the source. A lightweight multilayer perceptron denoising filter (MLPF) …
filtering out noise at the source. A lightweight multilayer perceptron denoising filter (MLPF) …
Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing
JO Hasler, A Basu - Neuromorphic Computing and Engineering, 2025 - iopscience.iop.org
The effort addresses the research activity around the usage of Non-Volatile Memories (NVM)
for storage of “weights” in neural networks and the resulting computation through these …
for storage of “weights” in neural networks and the resulting computation through these …
A 389 TOPS/W, always ON region proposal integrated circuit using in-memory computing in 65 nm CMOS
Neuromorphic vision sensors (NVSs) are key enablers of energy savings in Internet of
Things (IoT)-based traffic monitoring and surveillance systems that exploit the temporal …
Things (IoT)-based traffic monitoring and surveillance systems that exploit the temporal …
A 915–1220 TOPS/W, 976–1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors
X Zhang, A Basu - IEEE Journal of Solid-State Circuits, 2022 - ieeexplore.ieee.org
Neuromorphic vision sensors (NVSs) save energy and reduce data at the source by
asynchronously recording changes in temporal contrast. Thus, NVS provides an opportunity …
asynchronously recording changes in temporal contrast. Thus, NVS provides an opportunity …
EDformer: Transformer-Based Event Denoising Across Varied Noise Levels
Currently, there is relatively limited research on the background activity noise of event
cameras in different brightness conditions, and the relevant real-world datasets are …
cameras in different brightness conditions, and the relevant real-world datasets are …
Noise Filtering Benchmark for Neuromorphic Satellites Observations
Event cameras capture sparse, asynchronous brightness changes which offer high temporal
resolution, high dynamic range, low power consumption, and sparse data output. These …
resolution, high dynamic range, low power consumption, and sparse data output. These …
Memory Efficient Corner Detection for Event-Driven Dynamic Vision Sensors
Event cameras offer low-latency and data compression for visual applications, through event-
driven operation, that can be exploited for edge processing in tiny autonomous agents …
driven operation, that can be exploited for edge processing in tiny autonomous agents …
Design of a two-branch network enhancement algorithm for deep features in visually communicated images
Y Liu - Signal, Image and Video Processing, 2024 - Springer
Aiming at the problem that the visual communication image enhances the features from a
single angle, resulting in the fuzzy phenomenon of some details, a double branch network …
single angle, resulting in the fuzzy phenomenon of some details, a double branch network …
An Efficient Hash-based Data Structure for Dynamic Vision Sensors and its Application to Low-energy Low-memory Noise Filtering
Events generated by the Dynamic Vision Sensor (DVS) are generally stored and processed
in two-dimensional data structures whose memory complexity and energy-per-event scale …
in two-dimensional data structures whose memory complexity and energy-per-event scale …