Maciej Halber

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Thomas FunkhouserPrinceton UniversityVerified email at cs.princeton.edu
Matthias NießnerProfessor of Computer Science, Technical University of MunichVerified email at tum.de
Angela DaiTechnical University of MunichVerified email at cs.stanford.edu
Angel ChangSimon Fraser UniversityVerified email at cs.stanford.edu
Manolis SavvaSimon Fraser UniversityVerified email at sfu.ca
Elena SizikovaFDA/CDRH/OSEL/DIDSRVerified email at fda.hhs.gov
Szymon RusinkiewiczPrinceton University, Department of Computer ScienceVerified email at princeton.edu
Ohad FriedReichman University (past: Stanford University, Princeton University)Verified email at runi.ac.il
Adam FinkelsteinProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Stephen DiVerdiAdobeVerified email at adobe.com
Justin SolomonMITVerified email at mit.edu
Chongyang MaResearch Manager at Kuaishou Technology (Kwai Inc.)Verified email at kwai.com

Maciej Halber

Princeton University

Verified email at cs.princeton.edu - Homepage

computer graphics computer vision 3D vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Scannet: Richly-annotated 3d reconstructions of indoor scenes A Dai, AX Chang, M Savva, M Halber, T Funkhouser, M Nießner Proceedings of the IEEE conference on computer vision and pattern …, 2017	2189	2017
Matterport3d: Learning from rgb-d data in indoor environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... arXiv preprint arXiv:1709.06158, 2017	1195	2017
Fine-to-coarse global registration of rgb-d scans M Halber, T Funkhouser Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	70	2017
IsoMatch: Creating informative grid layouts O Fried, S DiVerdi, M Halber, E Sizikova, A Finkelstein Computer graphics forum 34 (2), 155-166, 2015	38	2015
Enhancing place recognition using joint intensity-depth analysis and synthetic data E Sizikova, VK Singh, B Georgescu, M Halber, K Ma, T Chen Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016	37	2016
Learning detail transfer based on geometric features S Berkiten, M Halber, J Solomon, C Ma, H Li, S Rusinkiewicz Computer Graphics Forum 36 (2), 361-373, 2017	26	2017
Rescan: Inductive instance segmentation for indoor rgbd scans M Halber, Y Shi, K Xu, T Funkhouser Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	15	2019
Systems and methods for building a virtual representation of a location M Eder, S Mohan, M Halber, A Jakka, D Waltman, Z Rattner US Patent App. 17/194,075, 2021	8	2021
Accelerating Large-Kernel Convolution Using Summed-Area Tables L Zhang, M Halber, S Rusinkiewicz arXiv preprint arXiv:1906.11367, 2019	3	2019
Identifying flood damage to an indoor environment using a virtual representation A Jakka, S Mohan, D Waltman, M Eder, M Halber, Z Rattner US Patent 11,521,273, 2022		2022
Capacity optimized electronic model based prediction of changing physical hazards and inventory items D Waltman, S Mohan, A Jakka, M Eder, M Halber, Z Rattner US Patent App. 17/193,957, 2021		2021
RGBD Pipeline for Indoor Scene Reconstruction and Understanding MS Halber Princeton, NJ: Princeton University, 2019		2019
Articulated Object Detection M Halber

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