Andrew Achkar

3 papers · 2017–2019 · 1 venue · across top CS/AI venues

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Achievements

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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

CVPR (3)

Top co-authors

Pierre-Marc Jodoin (3) Frederic Branchaud-Charron (1) Zhiming Luo (1) Carl Lemaire (1) Akshaya Mishra (1) Shaozi Li (1) Justin Eichel (1)

Research topics

Deep Learning (3) Machine Learning (2) Learning Types (2) Optimization & Theory · Machine Learning (2) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Computer Vision (1) Analysis (1) Application Areas (1) Architectures (1) Core AI (1) Core Methods (1)

Keywords

convolutional neural network (2) image classification (1) metric learning (1) spectral clustering (1) feature extraction (1) knowledge distillation (1) network pruning (1) boundary detection (1) saliency detection (1) real-time processing (1) image processing (1) salient object detection (1) residual network (1) inference speed (1) structured pruning (1) real-time detection (1) neural network (1) dataset complexity (1) cumulative spectral gradient (1) model compression (1)

Papers

Spectral Metric for Dataset Complexity Assessment CVPR 2019 Structured Pruning of Neural Networks With Budget-Aware Regularization CVPR 2019 Non-Local Deep Features for Salient Object Detection CVPR 2017