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Matthew Fisher
Matthew Fisher
Principal Research Scientist, Adobe Research
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
A papier-mâché approach to learning 3d surface generation
T Groueix, M Fisher, VG Kim, BC Russell, M Aubry
Proceedings of the IEEE conference on computer vision and pattern …, 2018
11482018
3dmatch: Learning local geometric descriptors from rgb-d reconstructions
A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8092017
Real-time non-rigid reconstruction using an RGB-D camera
M Zollhöfer, M Nießner, S Izadi, C Rehmann, C Zach, M Fisher, C Wu, ...
ACM Transactions on Graphics (ToG) 33 (4), 1-12, 2014
4842014
Example-based Synthesis of 3D Object Arrangements
M Fisher, D Ritchie, M Savva, T Funkhouser, P Hanrahan
SIGGRAPH, 2012
3792012
Multi-content gan for few-shot font style transfer
S Azadi, M Fisher, VG Kim, Z Wang, E Shechtman, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3322018
3d-coded: 3d correspondences by deep deformation
T Groueix, M Fisher, VG Kim, BC Russell, M Aubry
Proceedings of the european conference on computer vision (ECCV), 230-246, 2018
2922018
Characterizing structural relationships in scenes using graph kernels
M Fisher, M Savva, P Hanrahan
ACM SIGGRAPH 2011 papers, 1-12, 2011
2392011
Search for direct pair production of scalar top quarks in the single- and dilepton channels in proton-proton collisions at s = 8 TeV
V Khachatryan, AM Sirunyan, A Tumasyan, W Adam, E Asilar, T Bergauer, ...
Journal of High Energy Physics 2016 (7), 1-49, 2016
185*2016
Design of tangent vector fields
M Fisher, P Schröder, M Desbrun, H Hoppe
ACM Transactions on Graphics (TOG) 26 (3), 56, 2007
1822007
Learning elementary structures for 3d shape generation and matching
T Deprelle, T Groueix, M Fisher, V Kim, B Russell, M Aubry
Advances in Neural Information Processing Systems 32, 2019
1562019
Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.
JF Landy, ML Jia, IL Ding, D Viganola, W Tierney, A Dreber, ...
Psychological bulletin 146 (5), 451, 2020
1532020
Context-based search for 3D models
M Fisher, P Hanrahan
ACM SIGGRAPH Asia 2010 papers, 1-10, 2010
1532010
Improved techniques for training single-image gans
T Hinz, M Fisher, O Wang, S Wermter
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
1242021
Pigraphs: learning interaction snapshots from observations
M Savva, AX Chang, P Hanrahan, M Fisher, M Nießner
ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016
1242016
Bae-net: Branched autoencoder for shape co-segmentation
Z Chen, K Yin, M Fisher, S Chaudhuri, H Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1212019
Activity-centric scene synthesis for functional 3D scene modeling
M Fisher, M Savva, Y Li, P Hanrahan, M Nießner
ACM Transactions on Graphics (TOG) 34 (6), 1-13, 2015
1172015
SceneGrok: Inferring action maps in 3D environments
M Savva, AX Chang, P Hanrahan, M Fisher, M Nießner
ACM transactions on graphics (TOG) 33 (6), 1-10, 2014
1132014
Probabilistic color-by-numbers: Suggesting pattern colorizations using factor graphs
S Lin, D Ritchie, M Fisher, P Hanrahan
ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013
1132013
An algorithm for the construction of intrinsic Delaunay triangulations with applications to digital geometry processing
M Fisher, B Springborn, AI Bobenko, P Schroder
ACM SIGGRAPH 2006 Courses, 69-74, 2006
942006
A perceptual measure for deep single image camera calibration
Y Hold-Geoffroy, K Sunkavalli, J Eisenmann, M Fisher, E Gambaretto, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
932018
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Articles 1–20