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06/15/2023
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network
EIE proposed to accelerate pruned and compressed neural networks, exploi...
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05/26/2022
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Multi-sensor fusion is essential for an accurate and reliable autonomous...
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03/10/2021
PatchNet – Short-range Template Matching for Efficient Video Processing
Object recognition is a fundamental problem in many video processing tas...
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08/18/2019
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell
Average precision (AP) is a widely used metric to evaluate detection acc...
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09/30/2018
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video
Detecting objects in a video is a compute-intensive task. In this paper ...
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12/05/2017
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Large-scale distributed training requires significant communication band...
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05/24/2017
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Sparsity helps reduce the computational complexity of deep neural networ...
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12/01/2016
ESE: Efficient Speech Recognition Engine with Sparse LSTM on FPGA
Long Short-Term Memory (LSTM) is widely used in speech recognition. In o...
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07/15/2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Modern deep neural networks have a large number of parameters, making th...
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02/04/2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network
State-of-the-art deep neural networks (DNNs) have hundreds of millions o...
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10/01/2015
