Search Results - neuromorphic vision data coding

Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature by Brites, Catarina, Ascenso, Joao

“… However, depending on the application scenario, the emerging neuromorphic vision sensors may generate a large volume of data, thus critically demanding highly efficient coding solutions in order…”
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Neuromorphic Vision Data Coding: Classifying and Reviewing by Brites, Catarina, Ascenso, João

“… However, the huge amount of data outputted by the emerging neuromorphic vision sensors critically demands highly efficient coding solutions in order applications may take full advantage of these new…”
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Neuromorphic vision chips by Wu, Nanjian

“…The paper reviews the progress of neuromorphic vision chip research in decades. It focuses on two kinds of the neuromorphic vision chips: frame-driven (FD) and event-driven (ED) vision chips…”
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Neuromorphic Photonic Image Processing Based on Temporal Coding With a Spiking VCSEL-SA Neuron by Panah, Mahdi Barati Mohammad, Baghban, Hamed, Yadipour, Reza, Alizadeh, Abdollah

“…The neuromorphic photonic approaches hold great potential for developing systems with applications in information processing, computer vision, and artificial intelligence platforms…”
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Active fixation as an efficient coding strategy for neuromorphic vision by Testa, Simone, Sabatini, Silvio P., Canessa, Andrea

“… Indeed, motion induced on standard imagers only results in burring effects. Neuromorphic sensors represent a valuable solution…”
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Lossless Encoding of Time-Aggregated Neuromorphic Vision Sensor Data Based on Point-Cloud Compression by Adhuran, Jayasingam, Khan, Nabeel, Martini, Maria G.

“… For this purpose, we recently proposed Time Aggregation-based Lossless Video Encoding for Neuromorphic Vision Sensor Data (TALVEN…”
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A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit by Chen, Mingju, He, Junxian, Wang, Haibing, Wang, Tengxiao, Gao, Haoran, Liu, Liyuan, Wang, Ying, Shi, Cong

“…Edge visual systems demand high energy-efficiency vision processors like neuromorphic hardware leveraging spike-based computations…”
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Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences by He, Weihua, Wu, YuJie, Deng, Lei, Li, Guoqi, Wang, Haoyu, Tian, Yang, Ding, Wei, Wang, Wenhui, Xie, Yuan

“…Neuromorphic data, recording frameless spike events, have attracted considerable attention for the spatiotemporal information components and the event-driven processing fashion…”
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Fast Post-Hoc Normalization for Brain Inspired Sparse Coding on a Neuromorphic Device by Henke, Kyle, Kenyon, Garrett T., Migliori, Ben

“… Biologically accurate, energy efficient neuromorphic systems are particularly promising for enabling future breakthroughs because of their ability to process information in parallel and to scale…”
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A Multimode Neuromorphic Vision Sensor With Improved Brightness Measurement Performance by Pulse Coding Method by Ding, Zewei, Wu, Qijuan, Wang, Mingyu, Liu, Jingjing, Zeng, Xiaoyang, Li, Wenhong, Huang, Wei, Liu, Zhi, Zhang, Xiao-Ping

“…This article proposes a multimode neuromorphic event-frame integrated vision sensor that enables event detection (ED…”
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Neuromorphic Image Coding/Decoding Based on Sampling Estimates of the Local Contrast by Antsiperov, V. E., Kershner, V. A.

“…Neuromorphic methods for processing relatively large volumes of streaming data using the example of an image encoding/restoration problem are discussed…”
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In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision by Datta, Gourav, Liu, Zeyu, Kaiser, Md Abdullah-Al, Kundu, Souvik, Mathai, Joe, Yin, Zihan, Jacob, Ajey P., Jaiswal, Akhilesh R., Beerel, Peter A.

“…), neuromorphic spiking neural networks (SNNs) have emerged as a promising low-power alternative to traditional DNNs for several computer vision (CV) applications…”
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Integrating Image Perception and Time‐to‐First‐Spike Coding in MoS2 Phototransistors for Spiking Neural Network by Su, Xiangwei, Zhang, Bihua, Liang, Caijing, Tian, Maoxin, Zhang, Tianjiao, Bian, Zheng, Miao, Jialei, Yang, Quan, Xu, Yang, Yu, Bin, Chai, Yang, Lin, Peng, Zhao, Yuda

“…Human vision system remains alert for dangers and adopts high‐speed and low‐power coding methods to convert the image information to spike signals…”
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A neuromorphic model of active vision shows how spatiotemporal encoding in lobula neurons can aid pattern recognition in bees by MaBouDi, HaDi, Roper, Mark, Guiraud, Marie-Geneviève, Juusola, Mikko, Chittka, Lars, Marshall, James AR

“…Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically…”
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Surrogate gradients for analog neuromorphic computing by Cramer, Benjamin, Billaudelle, Sebastian, Kanya, Simeon, Leibfried, Aron, Grübl, Andreas, Karasenko, Vitali, Pehle, Christian, Schreiber, Korbinian, Stradmann, Yannik, Weis, Johannes, Schemmel, Johannes, Zenke, Friedemann

“… Analog neuromorphic hardware uses the same principles to emulate spiking neural networks with exceptional energy efficiency…”
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A Joint Visual Compression and Perception Framework for Neuromorphic Spiking Camera by Feng, Kexiang, Jia, Chuanmin, Ma, Siwei, Gao, Wen

“…The advent of Neuromorphic spike cameras has garnered significant attention for their ability to capture continuous motion with unparalleled temporal resolution…”
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Event-based neuromorphic systems by Liu, Shih-Chii, Delbruck, Tobi, Indiveri, Giacomo, Whatley, Adrian, Douglas, Rodney

“… Event-based neuromorphic systems are inspired by the brain's efficient data-driven communication design, which is key to its quick responses and remarkable…”
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A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks by Wu, Jibin, Chua, Yansong, Zhang, Malu, Li, Guoqi, Li, Haizhou, Tan, Kay Chen

“…Spiking neural networks (SNNs) represent the most prominent biologically inspired computing model for neuromorphic computing (NC) architectures…”
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Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations by Camuñas-Mesa, Luis, Linares-Barranco, Bernabé, Serrano-Gotarredona, Teresa

“…Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding…”
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Lossless Compression of Data From Static and Mobile Dynamic Vision Sensors-Performance and Trade-Offs by Khan, Nabeel, Iqbal, Khurram, Martini, Maria G.

“… The bio-inspired approach of the DVS results in lower data rates than conventional vision sensors…”
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