Dr. Amir Adler

 

Research Interests: Deep Learning, Image and Signal Processing, Computer Vision.

 

E-mail: adleram@cs.technion.ac.il

 

In The News

1.        Dr. Amir Adler Appointed Chief Scientist, Ministry of Communications, The Marker (in Hebrew), October, 2014.

2.      Computer Science Graduate Appointed Chief Scientist, Ministry of Communications, January, 2015.

3.      Computer Science PhD Student Awarded Google Europe Doctoral Fellowship, June, 2011.

 

Reprints

1.       A. Adler, M. Elad and M. Zibulevsky, "Compressed Learning: A Deep Neural Network Approach", http://arxiv.org/abs/1610.09615, 2016.

2.      A. Adler, D. Boublil, M. Elad and M. Zibulevsky, "A Deep Learning Approach to Block-based Compressed Sensing of Images", http://arxiv.org/abs/1606.01519, 2016. code

Journal Publications

1.        A. Adler, "Covariance-Assisted Matching Pursuit", IEEE Signal Processing Letters, Vol. 23, No. 1, pp. 149-153, 2016. paper supplemental file code

2.      A. Adler, M. Elad, Y. Hel-Or, "Linear-Time Subspace Clustering Via Bipartite Graph Modeling", IEEE Trans. on Neural Networks and Learning Systems, Vol. 26, No. 10, pp. 2234-2246, 2015.

 

3.      A. Adler, M. Elad, Y. Hel-Or and E. Rivlin, "Sparse Coding with Anomaly Detection", Springer Journal of Signal Processing Systems, Vol. 79, No. 2, pp. 179-188, 2015. code

4.      A. Adler, M. Elad and Y. Hel-Or, "Probabilistic Subspace Clustering via Sparse Representations", IEEE Signal Processing Letters, Vol. 20, No. 1, pp. 63-66, 2013.

5.      A. Adler, V. Emiya, M. Jafari, M. Elad, R. Gribonval and M. Plumbley, "Audio Inpainting", IEEE Trans. on Audio, Speech and Language Processing, Vol. 20, No. 3, pp. 922-932, 2012. code

6.      A. Adler and M. Salhov, "A Carrier-Grade Wireless LAN Network Implementation", IEEE Microwave Magazine, Vol. 9, No. 4, pp. 108-119, 2008.

 

Conference Publications

1.        A. Adler, "Covariance-Assisted Matching Pursuit", IEEE International Conference on Image Processing (ICIP), 2016. poster supplemental file code

 

2.      A. Adler, M. Elad, Y. Hel-Or and E. Rivlin, "Sparse Coding with Anomaly Detection", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2013. code

3.      A. Adler, V. Emiya, M. Jafari, M. Elad, R. Gribonval and M. Plumbley, "A Constrained Matching Pursuit Approach to Audio Declipping", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011. code

4.      A. Adler, Y. Hel-Or and M. Elad, "A Shrinkage Learning Approach for Single Image Super Resolution With Overcomplete Representations", The 11th European Conference on Computer Vision (ECCV), 2010.

5.      A. Adler, Y. Hel-Or and M. Elad, "A Weighted Discriminative Approach For Image Denoising With Overcomplete Representations", International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010.

 

Awards

1.      The 2011 Google Europe Doctoral Fellowship in Multimedia.

2.      The 2012 Technion-MIT internship award, conducted at CSAIL, MIT.

3.      The 2012 HP Labs Open Innovations Research Award, jointly with Prof. Michael Elad and Prof. Yacov Hel-Or. Research theme "Large Scale Data Analysis and Processing via Subspace Clustering".

Teaching

1.        Lecturer, Deep Learning, Winter 2016/17

2.      Lecturer, Deep Learning Seminar, Winter 2016/17.

3.      Lecturer, Computer Vision, Summer 2016.

4.      Lecturer, Digital Image Processing (236860), Spring 2014.

5.      TA, Computer Vision (236873), Winter 2011/12 & Winter 2012/13.

6.      TA, Digital Image Processing (236860), Spring 2011.

7.      TA, Introduction to Computing with MATLAB (234127), Winter 2010/11.