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Publication search results
found 48 matches
- 2024
- Josefredo Gadelha da Silva
, Thalita E. Nazaré
, Matheus Costa
, Márcio J. Lacerda, Erivelton Geraldo Nepomuceno
:
Engineering and Technology Applications of Control Co-Design: A Survey. IEEE Access 12: 81692-81717 (2024) - Dmitry Petrov
, Matheus Gadelha
, Radomír Mech
, Evangelos Kalogerakis
:
ANISE: Assembly-Based Neural Implicit Surface Reconstruction. IEEE Trans. Vis. Comput. Graph. 30(8): 4514-4526 (2024) - Dmitry Petrov
, Pradyumn Goyal
, Vikas Thamizharasan
, Vladimir G. Kim
, Matheus Gadelha
, Melinos Averkiou
, Siddhartha Chaudhuri
, Evangelos Kalogerakis
:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. SIGGRAPH (Conference Paper Track) 2024: 92 - Ta Ying Cheng, Matheus Gadelha, Thibault Groueix, Matthew Fisher, Radomír Mech, Andrew Markham, Niki Trigoni:
Learning Continuous 3D Words for Text-to-Image Generation. CoRR abs/2402.08654 (2024) - Dmitry Petrov, Pradyumn Goyal, Vikas Thamizharasan, Vladimir G. Kim, Matheus Gadelha, Melinos Averkiou, Siddhartha Chaudhuri, Evangelos Kalogerakis:
GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis. CoRR abs/2402.16994 (2024) - Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou:
DMesh: A Differentiable Representation for General Meshes. CoRR abs/2404.13445 (2024) - Yun-Chun Chen, Selena Ling, Zhiqin Chen, Vladimir G. Kim, Matheus Gadelha, Alec Jacobson:
Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. CoRR abs/2406.01592 (2024) - 2023
- Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni:
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. ICCV 2023: 9297-9307 - Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. ICCV (Workshops) 2023: 2105-2114 - Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni:
3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. CoRR abs/2310.19188 (2023) - Shengqu Cai, Duygu Ceylan, Matheus Gadelha, Chun-Hao Paul Huang, Tuanfeng Yang Wang, Gordon Wetzstein:
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models. CoRR abs/2312.01409 (2023) - Karran Pandey, Paul Guerrero, Matheus Gadelha, Yannick Hold-Geoffroy, Karan Singh, Niloy J. Mitra:
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D. CoRR abs/2312.02190 (2023) - 2022
- Gopal Sharma
, Bidya Dash
, Aruni Roy Chowdhury, Matheus Gadelha
, Marios Loizou
, Liangliang Cao, Rui Wang, Erik G. Learned-Miller
, Subhransu Maji
, Evangelos Kalogerakis
:
PriFit: Learning to Fit Primitives Improves Few Shot Point Cloud Segmentation. Comput. Graph. Forum 41(5): 39-50 (2022) - Gabriel B. M. Câmara
, Maria G. F. Coutinho
, Lucileide M. D. Da Silva
, Walter V. do N. Gadelha
, Matheus F. Torquato
, Raquel de M. Barbosa
, Marcelo A. C. Fernandes
:
Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification. Sensors 22(15): 5730 (2022) - Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang:
PlanarRecon: Realtime 3D Plane Detection and Reconstruction from Posed Monocular Videos. CVPR 2022: 6209-6218 - Dmitry Petrov, Matheus Gadelha, Radomír Mech, Evangelos Kalogerakis:
ANISE: Assembly-based Neural Implicit Surface rEconstruction. CoRR abs/2205.13682 (2022) - Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang:
PlanarRecon: Real-time 3D Plane Detection and Reconstruction from Posed Monocular Videos. CoRR abs/2206.07710 (2022) - Marissa Ramirez de Chanlatte, Matheus Gadelha, Thibault Groueix, Radomír Mech:
Leveraging Monocular Disparity Estimation for Single-View Reconstruction. CoRR abs/2207.00182 (2022) - Zezhou Cheng, Matheus Gadelha, Subhransu Maji:
Accidental Turntables: Learning 3D Pose by Watching Objects Turn. CoRR abs/2212.06300 (2022) - 2021
- Adam Viola, Sahil Sharma, Pankaj Bishnoi, Matheus Gadelha, Stefano Petrangeli, Haoliang Wang, Viswanathan Swaminathan:
Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications. AIVR 2021: 1-9 - Matheus Cascalho dos Santos, Frederico Gadelha Guimarães, Petrônio Cândido de Lima e Silva
:
High-dimensional Multivariate Time Series Forecasting using Self-Organizing Maps and Fuzzy Time Series. FUZZ-IEEE 2021: 1-6 - Matheus Gadelha, Rui Wang, Subhransu Maji:
Deep Manifold Prior. ICCVW 2021: 1107-1116 - Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications. CoRR abs/2112.02140 (2021) - Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds. CoRR abs/2112.13942 (2021) - 2020
- Matheus Gadelha
, Aartika Rai, Subhransu Maji, Rui Wang:
Inferring 3D Shapes from Image Collections Using Adversarial Networks. Int. J. Comput. Vis. 128(10): 2651-2664 (2020) - Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. CVPR 2020: 399-408 - Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis
, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions. ECCV (10) 2020: 473-491 - Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik G. Learned-Miller, Rui Wang, Subhransu Maji:
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions. CoRR abs/2003.13834 (2020) - Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. CoRR abs/2004.03028 (2020) - Matheus Gadelha, Rui Wang, Subhransu Maji:
Deep Manifold Prior. CoRR abs/2004.04242 (2020)
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