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08/08/2023
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection
False negatives (FN) in 3D object detection, e.g., missing predictions o...
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06/25/2023
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Robustness and compactness are two essential components of deep learning...
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12/14/2021
AdaViT: Adaptive Tokens for Efficient Vision Transformer
We introduce AdaViT, a method that adaptively adjusts the inference cost...
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05/07/2018
Monitoring Dynamic Mobile Ad-Hoc Networks: A Fully Distributed Hybrid Architecture
The mobile ad-hoc networks (MANETs) represent a broad area of study and ...
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05/07/2018
MANETs monitoring with a distributed hybrid architecture
Monitoring techniques have been deeply studied in wired networks using g...
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12/05/2017
DHYMON: a Continuous Decentralized Hybrid Monitoring Architecture for MANETs
We introduce a novel decentralized monitoring algorithm for mobile ad-ho...
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06/17/2016
DecomposeMe: Simplifying ConvNets for End-to-End Learning
Deep learning and convolutional neural networks (ConvNets) have been suc...
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10/22/2014