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I have graduated from Princeton University, where I was a member of the Graphics and Vision groups, working with prof. Thomas Funkhouser. Off to new adventures now!

Prior to Princeton, I was studying at University College London, where I received Master of Engineering degree, working with prof. Simon Julier and prof. Niloy Mitra.

Publications

	Accelerating Large-Kernel Convolution Using Summed-Area Tables L.Zhang, M. Halber, S. Rusinkiewicz; [preprint]
	Rescan: Inductive Instance Segmentation for Indoor RGBD Scans M. Halber, Y.Shi, K. Xu, T.Funkhouser; ICCV 2019 [pdf] [webpage] [code]
	Matterport3D: Learning from RGB-D Data in Indoor Environments A. X. Chang, A. Dai, T. Funkhouser, M. Halber, M. Nießner, M. Savva, S. Song, A. Zeng, Y. Zhang; 3DV 2017 [pdf] [webpage]
	ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, M. Nießner; CVPR 2017 [pdf] [webpage]
	Fine-To-Coarse Global Registration of RGB-D Scans M. Halber, T. Funkhouser; CVPR 2017 [pdf][webpage][code]
	Learning Detail Transfer based on Geometric Features S. Berkiten, M. Halber, J. Solomon, C. Ma, H. Li, S. Rusinkiewicz; Eurographics 2017 Best Paper Award Honorable Mention [pdf] [webpage]
	Blender Poradnik Praktyczny M. Halber; ISBN 83-246-1190-8
	Enhancing Place Recognition using Joint Intensity - Depth Analysis and Synthetic Data E. Sizikova, V. K. Singh, B. Georgescu, M. Halber, K. Ma, T. Chen; ECCV Workshop on Virtual/Augmented Reality for Visual Artificial Intelligence (VARVAI) 2016 [pdf] [poster] [webpage]
	IsoMatch: Creating Informative Grid Layouts O. Fried, S. DiVerdi, M. Halber, E. Sizikova and A. Finkelstein; Eurographics 2015 [pdf] [pdf-small] [video]