| A weighted sparse sampling and smoothing frame transition approach for semantic fast-forward first-person videos M Silva, W Ramos, J Ferreira, F Chamone, M Campos, ER Nascimento Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 31 | 2018 |
| Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories T Mensink, J Uijlings, L Castrejon, A Goel, F Cadar, H Zhou, F Sha, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 20 | 2023 |
| XFeat: Accelerated Features for Lightweight Image Matching G Potje, F Cadar, A Araujo, R Martins, ER Nascimento Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 16 | 2024 |
| Making a long story short: A multi-importance fast-forwarding egocentric videos with the emphasis on relevant objects MM Silva, WLS Ramos, FC Chamone, JPK Ferreira, MFM Campos, ... Journal of Visual Communication and Image Representation 53, 55-64, 2018 | 15 | 2018 |
| Enhancing deformable local features by jointly learning to detect and describe keypoints G Potje, F Cadar, A Araujo, R Martins, ER Nascimento Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| GEOBIT: A geodesic-based binary descriptor invariant to non-rigid deformations for RGB-D images ER Nascimento, G Potje, R Martins, F Cadar, MFM Campos, R Bajcsy Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 12 | 2019 |
| Extracting deformation-aware local features by learning to deform G Potje, R Martins, F Chamone, E Nascimento Advances in Neural Information Processing Systems 34, 10759-10771, 2021 | 11 | 2021 |
| Semantic segmentation under adverse conditions: a weather and nighttime-aware synthetic data-based approach A Kerim, F Chamone, W Ramos, LS Marcolino, ER Nascimento, R Jiang arXiv preprint arXiv:2210.05626, 2022 | 10 | 2022 |
| A 3D modeling methodology based on a concavity-aware geometric test to create 3D textured coarse models from concept art and orthographic projections SNS Junior, FC Chamone, RC Ferreira, ER Nascimento Computers & Graphics 76, 73-83, 2018 | 9 | 2018 |
| Learning geodesic-aware local features from RGB-D images G Potje, R Martins, F Cadar, ER Nascimento Computer Vision and Image Understanding 219, 103409, 2022 | 8 | 2022 |
| Improving the matching of deformable objects by learning to detect keypoints F Cadar, W Melo, V Kanagasabapathi, G Potje, R Martins, ER Nascimento Pattern Recognition Letters 175, 83-89, 2023 | 3 | 2023 |
| Learning to detect good keypoints to match non-rigid objects in rgb images W Melo, G Potje, F Cadar, R Martins, ER Nascimento 2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) 1 …, 2022 | 3 | 2022 |
| An Immersion Enhancing Robotic Head-Like Device for Teleoperation. PAF Rezeck, F Cadar, J Soares, B Frade, L Pinto, H Azpurua, ... LARS/SBR/WRE, 164-169, 2018 | 3 | 2018 |
| Framework for haptic teleoperation of a remote robotic arm device P Rezeck, B Frade, J Soares, L Pinto, F Cadar, H Azpurua, DG Macharet, ... 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics …, 2018 | 2 | 2018 |
| Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence F Cadar, G Potje, R Martins, C Demonceaux, ER Nascimento Proceedings of the Asian Conference on Computer Vision, 1268-1283, 2024 | | 2024 |
| Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories Supplementary Material T Mensink, J Uijlings, L Castrejon, A Goel, F Cadar, H Zhou, F Sha, ... | | 2023 |
| Command Correction for Teleoperation using Reinforcment Learning FC Chamone, ER do Nascimento | | 2019 |
| Realimentaçao de Força para Teleoperaçao de Escavadeiras MV de Lima, A Cid, F Cadar, L Pinto, P Rezeck, T Grabe, G Freitas, ... Galoá, 2019 | | 2019 |
| SUPPLEMENTARY MATERIAL: Extracting Deformation-Aware Local Features by Learning to Deform G Potje, R Martins, F Cadar, ER Nascimento | | |
Erickson R. NascimentoAssociate Professor of Computer Science, Universidade Federal de Minas GeraisVerified email at dcc.ufmg.br
