Andrew Achkar

According to our database, Andrew Achkar authored at least 5 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Structured Pruning of Neural Networks With Budget-Aware Regularization.

Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spectral Metric for Dataset Complexity Assessment.

Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

MIO-TCD: A New Benchmark Dataset for Vehicle Classification and Localization.

Zhiming Luo, Frederic Branchaud-Charron, Carl Lemaire, Janusz Konrad, Shaozi Li, Akshaya Mishra, Andrew Achkar, Justin A. Eichel, Pierre-Marc Jodoin

IEEE Trans. Image Process., 2018

2017

Non-local Deep Features for Salient Object Detection.

Zhiming Luo, Akshaya Kumar Mishra, Andrew Achkar, Justin A. Eichel, Shaozi Li, Pierre-Marc Jodoin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A CPU-based algorithm for traffic optimization based on sparse convolutional neural networks.

Zhizhou Li, Justin A. Eichel, Akshaya Kumar Mishra, Andrew Achkar, Kshirasagar Naik

Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017