Andrew Achkar

Publication Activity (10 Years)

Years Active: 2017-2019
Publications (10 Years): 7

Top Topics

Salient Object Detection

Introducing Additional

Top Venues

IEEE Trans. Image Process.

Publications

Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
Spectral Metric for Dataset Complexity Assessment. CVPR (2019)
Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
Spectral Metric for Dataset Complexity Assessment. CoRR (2019)
Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin
Structured Pruning of Neural Networks With Budget-Aware Regularization. CVPR (2019)
Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin
Structured Pruning of Neural Networks with Budget-Aware Regularization. CoRR (2018)
Zhiming Luo, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin
MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization. IEEE Trans. Image Process. 27 (10) (2018)
Zhizhou Li, Justin A. Eichel, Akshaya Kumar Mishra, Andrew Achkar, Kshirasagar Naik
A CPU-based algorithm for traffic optimization based on sparse convolutional neural networks. CCECE (2017)
Zhiming Luo, Akshaya Kumar Mishra, Andrew Achkar, Justin A. Eichel, Shaozi Li, Pierre-Marc Jodoin
Non-local Deep Features for Salient Object Detection. CVPR (2017)