Mahmoud Kalash

I am a second year MSc student at the University of Manitoba working with Dr. Neil Bruce in Computer Vision Lab. I'm mainly interested in deep learning, especially applied to computer vision, with a focus on semantic analysis and understanding of images. I aim to find efficient solutions for problems that are grounded in applications such as Autonomous Driving.

Research Interests: Deep Learning, Computer Vision, Visual Recognition, Dense Image Labeling.

Email / Google Scholar / LinkedIn

Recent News

^NEW 03/2018: 1 paper submitted to ECCV 2018!
^NEW 01/2018: 1 paper submitted to ETRA 2018!
02/2018: 1 paper accepted to CVPR 2018 as Oral!
06/2017: 1 paper accepted to BMVC 2017!
04/2017: UMGF was upgraded to the Manitoba Graduate Scholarship (MGS)!
03/2017: I received the University of Manitoba Graduate Fellowship (UMGF)!

Research

	^NEW Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects Md Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce [* indicates equal contribution] IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral Presentation) [arxiv]
	Malware Classification with Deep Convolutional Neural Networks Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal [* indicates equal contribution] In Proceedings of the International Workshop on Cybercrime Investigation and Digital forensics (CID) in conjunction with the IFIP International Conference on New Technologies, Mobility and Security (NTMS) , 2018
	Salient Object Detection using a Context-Aware Refinement Network Md Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil D. B. Bruce, Yang Wang British Machine Vision Conference (BMVC), 2017 [project page] [pdf] [poster]
	Gaze-contingent interactive visualization of high-dynamic-range imagery Mahmoud Kalash, Karishma Singh, Rasit Eskicioglu, Neil D. B. Bruce IEEE Second Workshop on Eye Tracking and Visualization (ETVIS), 2016 [project page] [video]

Website Source