355 citations · 980 across the 44 of their papers we have counts for
5 papers · 1 filter
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators
Lukas Cavigelli, Luca Benini
After the tremendous success of convolutional neural networks in image classification, object detection, speech recognition, etc., there is now rising demand for deployment of thes…
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams
Lukas Cavigelli, Luca Benini
The last few years have brought advances in computer vision at an amazing pace, grounded on new findings in deep neural network construction and training as well as the availabilit…
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features
Michael Hersche, Tino Rellstab, Pasquale Davide Schiavone +3
Accurate, fast, and reliable multiclass classification of electroencephalography (EEG) signals is a challenging task towards the development of motor imagery brain-computer interfa…
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine
Renzo Andri, Lukas Cavigelli, Davide Rossi +1
Deep neural networks have achieved impressive results in computer vision and machine learning. Unfortunately, state-of-the-art networks are extremely compute and memory intensive w…
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri +2
Deploying state-of-the-art CNNs requires power-hungry processors and off-chip memory. This precludes the implementation of CNNs in low-power embedded systems. Recent research shows…