Search Results - "CULURCIELLO, Eugenio"

LinkNet: Exploiting encoder representations for efficient semantic segmentation by Chaurasia, Abhishek, Culurciello, Eugenio

“…Pixel-wise semantic segmentation for visual scene understanding not only needs to be accurate, but also efficient in order to find any use in real-time…”
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Spatially Compact Neural Clusters in the Dorsal Striatum Encode Locomotion Relevant Information by Barbera, Giovanni, Liang, Bo, Zhang, Lifeng, Gerfen, Charles R., Culurciello, Eugenio, Chen, Rong, Li, Yun, Lin, Da-Ting

“…An influential striatal model postulates that neural activities in the striatal direct and indirect pathways promote and inhibit movement, respectively. Normal…”
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Capacitive Inter-Chip Data and Power Transfer for 3-D VLSI by Culurciello, E., Andreou, A.G.

“…We report on inter-chip bidirectional communication and power transfer between two stacked chips. The experimental prototype system components were fabricated…”
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Hardware accelerators for recurrent neural networks on FPGA by Chang, Andre Xian Ming, Culurciello, Eugenio

“…Recurrent Neural Networks (RNNs) have the ability to retain memory and learn from data sequences, which are fundamental for real-time applications. RNN…”
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A multichip neuromorphic system for spike-based visual information processing by Vogelstein, R Jacob, Mallik, Udayan, Culurciello, Eugenio, Cauwenberghs, Gert, Etienne-Cummings, Ralph

“…We present a multichip, mixed-signal VLSI system for spike-based vision processing. The system consists of an 80 x 60 pixel neuromorphic retina and a 4800…”
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NeuFlow: Dataflow vision processing system-on-a-chip by Phi-Hung Pham, Jelaca, D., Farabet, C., Martini, B., LeCun, Y., Culurciello, E.

“…This paper presents a bio-inspired vision system-on-a-chip - neuFlow SoC implemented in the IBM 45 nm SOI process. The neuFlow SoC was designed to accelerate…”
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NeuFlow: A runtime reconfigurable dataflow processor for vision by Farabet, C., Martini, B., Corda, B., Akselrod, P., Culurciello, E., LeCun, Y.

“…In this paper we present a scalable dataflow hardware architecture optimized for the computation of general-purpose vision algorithms - neuFlow - and a…”
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Embedded Streaming Deep Neural Networks Accelerator With Applications by Dundar, Aysegul, Jonghoon Jin, Martini, Berin, Culurciello, Eugenio

“…Deep convolutional neural networks (DCNNs) have become a very powerful tool in visual perception. DCNNs have applications in autonomous robots, security…”
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Analyzing complex single-molecule emission patterns with deep learning by Zhang, Peiyi, Liu, Sheng, Chaurasia, Abhishek, Ma, Donghan, Mlodzianoski, Michael J., Culurciello, Eugenio, Huang, Fang

“…A fluorescent emitter simultaneously transmits its identity, location, and cellular context through its emission pattern. We developed smNet, a deep neural…”
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Memory access optimized routing scheme for deep networks on a mobile coprocessor by Dundar, Aysegul, Jonghoon Jin, Gokhale, Vinayak, Martini, Berin, Culurciello, Eugenio

“…In this paper, we present a memory access optimized routing scheme for a hardware accelerated real-time implementation of deep convolutional neural networks…”
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Understanding Complex Single Molecule Emission Patterns with Deep Learning by Zhang, Peiyi, Liu, Sheng, Chaurasia, Abhishek, Ma, Donghan, Mlodzianoski, Michael J., Culurciello, Eugenio, Huang, Fang

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Continuous Time Level Crossing Sampling ADC for Bio-Potential Recording Systems by Wei Tang, Osman, A., Dongsoo Kim, Goldstein, B., Chenxi Huang, Martini, B., Pieribone, V. A., Culurciello, E.

“…In this paper we present a fixed window level crossing sampling analog to digital convertor for bio-potential recording sensors. This is the first proposed and…”
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Tri-Mode Smart Vision Sensor With 11-Transistors/Pixel for Wireless Sensor Networks by Dongsoo Kim, Culurciello, Eugenio

“…We present the T-Sensor, a smart vision sensor capable of providing intensity, spatial contrast, and temporal difference images through the pixel level…”
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Activity-driven, event-based vision sensors by Delbrück, T, Linares-Barranco, B, Culurciello, E, Posch, C

“…The four chips presented in the special session on "Activity-driven, event-based vision sensors" quickly output compressed digital data in the form of events…”
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Deep neural networks compiler for a trace-based accelerator by Ming Chang, Andre Xian, Zaidy, Aliasger, Vitez, Marko, Burzawa, Lukasz, Culurciello, Eugenio

“…Convolutional Neural Networks (CNNs) are the algorithm of choice for image processing applications. CNNs are a highly parallel workload that leads to the…”
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Hardware accelerated convolutional neural networks for synthetic vision systems by Farabet, C, Martini, B, Akselrod, P, Talay, S, LeCun, Y, Culurciello, E

“…In this paper we present a scalable hardware architecture to implement large-scale convolutional neural networks and state-of-the-art multi-layered artificial…”
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Noise Analysis and Performance Comparison of Low Current Measurement Systems for Biomedical Applications by Dongsoo Kim, Goldstein, B., Wei Tang, Sigworth, F. J., Culurciello, E.

“…In this paper, we report on the noise analysis of low current measurement systems for biomedical applications and their fundamental limits. We analyzed…”
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A 64 × 64 Pixels UWB Wireless Temporal-Difference Digital Image Sensor by SHOUSHUN CHEN, WEI TANG, XIANGYU ZHANG, CULURCIELLO, Eugenio

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Efficient Feedforward Categorization of Objects and Human Postures with Address-Event Image Sensors by Shoushun Chen, Akselrod, P., Bo Zhao, Perez-Carrasco, J. A., Linares-Barranco, B., Culurciello, E.

“…This paper proposes an algorithm for feedforward categorization of objects and, in particular, human postures in real-time video sequences from address-event…”
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A biomorphic digital image sensor by Culurciello, E., Etienne-Cummings, R., Boahen, K.A.

“…An arbitrated address-event imager has been designed and fabricated in a 0.6-/spl mu/m CMOS process. The imager is composed of 80 /spl times/ 60 pixels of 32…”
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