Browse by UCL people
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Number of items: 19.
Article
Guerrero, P;
Bernstein, G;
Li, W;
Mitra, NJ;
(2016)
PATEX: Exploring Pattern Variations.
ACM Transactions on Graphics
, 35
(4)
, Article 48. 10.1145/2897824.2925950.
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Guerrero, P;
Kleiman, Y;
Ovsjanikov, M;
Mitra, NJ;
(2018)
PCPNet Learning Local Shape Properties from Raw Point Clouds.
Computer Graphics Forum
, 37
(2)
pp. 75-85.
10.1111/cgf.13343.
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Guerrero, P;
Mitra, NJ;
Wonka, P;
(2016)
RAID: A relation-augmented image descriptor.
ACM Transactions on Graphics
, 35
(4)
, Article 46. 10.1145/2897824.2925939.
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Hecher, M;
Guerrero, P;
Wonka, P;
Wimmer, M;
(2018)
How Do Users Map Points Between Dissimilar Shapes.
IEEE Transactions on Visualization and Computer Graphics
, 24
(8)
pp. 2327-2338.
10.1109/TVCG.2017.2730877.
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Jones, RK;
Barton, T;
Xu, X;
Wang, K;
Jiang, E;
Guerrero, P;
Mitra, NJ;
(2020)
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis.
ACM Transactions on Graphics
, 39
(6)
, Article 234. 10.1145/3414685.3417812.
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Kamel Boulos, MN;
Lu, Z;
Guerrero, P;
Jennett, C;
Steed, A;
(2017)
From urban planning and emergency training to Pokémon Go: applications of virtual reality GIS (VRGIS) and augmented reality GIS (ARGIS) in personal, public and environmental health.
Int J Health Geogr
, 16
(1)
, Article 7. 10.1186/s12942-017-0081-0.
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Kelly, T;
Guerrero, P;
Steed, A;
Wonka, P;
Mitra, NJ;
(2018)
FrankenGAN: Guided Detail Synthesis for Building Mass Models Using Style-Synchonized GANs.
ACM Transactions on Graphics (TOG)
, 37
(6)
10.1145/3272127.3275065.
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Lu, Z;
Guerrero, PA;
Mitra, NJ;
Steed, A;
(2016)
Open3D: Crowd-Sourced Distributed Curation of City Models.
Web3D Symposium Proceedings
10.1145/2945292.2945302.
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Mo, K;
Guerrero, P;
Yi, L;
Su, H;
Wonka, P;
Mitra, N;
Guibas, LJ;
(2019)
StructureNet: hierarchical graph networks for 3D shape generation.
ACM Transactions on Graphics
, 38
(6)
, Article 242. 10.1145/3355089.3356527.
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Monszpart, A;
Guerrero, P;
Ceylan, D;
Yumer, E;
Mitra, NJ;
(2019)
iMAPPER: Interaction-guided Scene Mapping from Monocular Videos.
ACM Transactions on Graphics
, 38
(4)
, Article 92. 10.1145/3306346.3322961.
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Rakotosaona, MJ;
La Barbera, V;
Guerrero, P;
Mitra, NJ;
Ovsjanikov, M;
(2020)
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds.
Computer Graphics Forum
, 39
(1)
pp. 185-203.
10.1111/cgf.13753.
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Reddy, P;
Guerrero, P;
Fisher, M;
Li, W;
Mitra, NJ;
(2020)
Discovering Pattern Structure Using Differentiable Compositing.
ACM Transactions on Graphics
, 39
(6)
, Article 262. 10.1145/3414685.3417830.
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Zhao, X;
Hu, R;
Guerrero, P;
Mitra, N;
Komura, T;
(2016)
Relationship Templates for Creating Scene Variations.
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2016
, 35
(6)
, Article 207. 10.1145/2980179.2982410.
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Proceedings paper
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Guerrero, P;
Winnemöller, H;
Li, W;
Mitra, NJ;
(2017)
DepthCut: Improved Depth Edge Estimation Using Multiple Unreliable Channels.
In: Bærentzen, J.A. and Hildebrandt, K, (eds.)
Proceedings of the Symposium on Geometry Processing 2017.
The Eurographics Association: London, UK.
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Jennett, C;
Cox, AL;
Guerrero, P;
Steed, A;
Mitra, N;
(2017)
Designing for Curiosity in Citizen Science.
In:
Proceedings of the CHI 2017 Workshop "Designing for Curiosity".
Association for Computing Machinery (ACM): Denver, CO, USA.
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Lei, J;
Sridhar, S;
Guerrero, P;
Sung, M;
Mitra, N;
Guibas, LJ;
(2020)
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images.
In:
Computer Vision – ECCV 2020. 16th European Conference on Computer Vision.
(pp. pp. 121-138).
Springer Nature: Cham, Switzerland.
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Mitra, N;
Ritschel, T;
Kokkinos, I;
Guerrero, P;
Kim, V;
Rematas, K;
Yumer, E;
(2018)
Deep Learning for Graphics.
In: Ritschel, T and Telea, A, (eds.)
Eurographics 2018 - Tutorials.
(pp. pp. 13-15).
Eurographics Association
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Mitra, NJ;
Kokkinos, I;
Guerrero, P;
Thuerey, N;
Kim, V;
Guibas, L;
(2019)
CreativeAI: Deep learning for graphics SIGGRAPH 2019.
In:
Proceeding SIGGRAPH '19 ACM.
ACM: Los Angeles, California.
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Mo, K;
Guerrero, P;
Yi, L;
Su, H;
Wonka, P;
Mitra, NJ;
Guibas, LJ;
(2020)
StructEdit: Learning Structural Shape Variations.
In:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 8856-8865).
IEEE: Seattle, WA, USA.
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