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Journal Articles
- 2023
[j4]Felipe Cadar
, Welerson Melo, Vaishnavi Kanagasabapathi, Guilherme A. Potje, Renato Martins, Erickson R. Nascimento:
Improving the matching of deformable objects by learning to detect keypoints. Pattern Recognit. Lett. 175: 83-89 (2023)- 2022
- [j3]Guilherme A. Potje, Renato Martins, Felipe Cadar, Erickson R. Nascimento:
Learning geodesic-aware local features from RGB-D images. Comput. Vis. Image Underst. 219: 103409 (2022) - 2018
- [j2]Sergio N. Silva Junior, Felipe C. Chamone, Renato C. Ferreira, Erickson R. Nascimento:
A 3D modeling methodology based on a concavity-aware geometric test to create 3D textured coarse models from concept art and orthographic projections. Comput. Graph. 76: 73-83 (2018) - [j1]Michel Melo Silva, Washington L. S. Ramos, Felipe C. Chamone, João P. K. Ferreira, Mario F. M. Campos, Erickson R. Nascimento:
Making a long story short: A multi-importance fast-forwarding egocentric videos with the emphasis on relevant objects. J. Vis. Commun. Image Represent. 53: 55-64 (2018)
Conference and Workshop Papers
- 2023
- [c9]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. CVPR 2023: 1306-1315 - [c8]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. ICCV 2023: 3090-3101 - 2022
- [c7]Abdulrahman Kerim, Felipe C. Chamone, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang:
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach. BMVC 2022: 977 - [c6]Welerson Melo, Guilherme A. Potje, Felipe Cadar, Renato Martins, Erickson R. Nascimento:
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. SIBGRAPI 2022: 61-66 - 2021
- [c5]Guilherme A. Potje, Renato Martins, Felipe C. Chamone, Erickson R. Nascimento:
Extracting Deformation-Aware Local Features by Learning to Deform. NeurIPS 2021: 10759-10771 - 2019
- [c4]Erickson Rangel do Nascimento, Guilherme A. Potje, Renato Martins, Felipe C. Chamone, Mario F. M. Campos, Ruzena Bajcsy:
GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. ICCV 2019: 10003-10011 - 2018
- [c3]Michel Melo Silva, Washington L. S. Ramos, João P. K. Ferreira, Felipe C. Chamone, Mario F. M. Campos, Erickson R. Nascimento:
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos. CVPR 2018: 2383-2392 - [c2]Paulo A. F. Rezeck, Felipe Cadar, Jessica Soares, Bruna Frade, Luan Pinto, Héctor Azpúrua, Douglas G. Macharet, Luiz Chaimowicz, Gustavo Medeiros Freitas, Mario Fernando Montenegro Campos:
An Immersion Enhancing Robotic Head-Like Device for Teleoperation. LARS/SBR/WRE 2018: 164-169 - [c1]Paulo A. F. Rezeck, Bruna Frade, Jessica Soares, Luan Pinto, Felipe Cadar, Héctor Azpúrua, Douglas G. Macharet, Luiz Chaimowicz, Gustavo Medeiros Freitas, Mario F. M. Campos:
Framework for Haptic Teleoperation of a Remote Robotic Arm Device. LARS/SBR/WRE 2018: 170-175
Informal and Other Publications
- 2024
- [i10]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
XFeat: Accelerated Features for Lightweight Image Matching. CoRR abs/2404.19174 (2024) - 2023
- [i9]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. CoRR abs/2304.00583 (2023) - [i8]Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari:
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. CoRR abs/2306.09224 (2023) - [i7]Felipe Cadar, Welerson Melo, Vaishnavi Kanagasabapathi, Guilherme A. Potje, Renato Martins, Erickson R. Nascimento:
Improving the matching of deformable objects by learning to detect keypoints. CoRR abs/2309.00434 (2023) - 2022
- [i6]Guilherme A. Potje, Renato Martins, Felipe Cadar, Erickson R. Nascimento:
Learning Geodesic-Aware Local Features from RGB-D Images. CoRR abs/2203.12016 (2022) - [i5]Abdulrahman Kerim, Felipe C. Chamone, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang:
Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach. CoRR abs/2210.05626 (2022) - [i4]Welerson Melo, Guilherme A. Potje, Felipe Cadar, Renato Martins, Erickson R. Nascimento:
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. CoRR abs/2212.09589 (2022) - 2021
- [i3]Guilherme A. Potje, Renato Martins, Felipe Cadar, Erickson R. Nascimento:
Extracting Deformation-Aware Local Features by Learning to Deform. CoRR abs/2111.10617 (2021) - 2018
- [i2]Michel Melo Silva, Washington Luis Souza Ramos, João Pedro Klock Ferreira, Felipe Cadar Chamone, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento:
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos. CoRR abs/1802.08722 (2018) - 2017
- [i1]Michel Melo Silva, Washington Luis Souza Ramos, Felipe Cadar Chamone, João Pedro Klock Ferreira, Mario Fernando Montenegro Campos, Erickson Rangel do Nascimento:
Making a long story short: A Multi-Importance Semantic for Fast-Forwarding Egocentric Videos. CoRR abs/1711.03473 (2017)
Coauthor Index
aka: Erickson Rangel do Nascimento
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