Automatically Choosing Source Color Images for Coloring Grayscale Images. - Luiz Filipe M. Vieira; Rafael D. Vilela; Erickson Rangel do Nascimento; Fernando A. Fernandes Jr.; Rodrigo L. Carceroni; Arnaldo de Albuquerque Araújo (SIBGRAPI, 2003)

Fully automatic coloring of grayscale images. - Luiz Filipe M. Vieira; Erickson Rangel do Nascimento; Fernando A. Fernandes Jr.; Rodrigo L. Carceroni; Rafael D. Vilela; Arnaldo de Albuquerque Araújo (Image Vis. Comput., 2007)

Stereo Based Structure Recovery of Underwater Scenes from Automatically Restored Images. - Erickson R. Nascimento; Mario Fernando Montenegro Campos; Wagner Barros (SIBGRAPI, 2009)

STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences. - Antônio Wilson Vieira; Erickson R. Nascimento; Gabriel L. Oliveira; Zicheng Liu 001; Mario Fernando Montenegro Campos (CIARP, 2012)

EDVD - Enhanced descriptor for visual and depth data. - Erickson R. Nascimento; William Robson Schwartz; Mario Fernando Montenegro Campos (ICPR, 2012)

Sparse Spatial Coding: A novel approach for efficient and accurate object recognition. - Gabriel L. Oliveira; Erickson R. Nascimento; Antônio Wilson Vieira; Mario Fernando Montenegro Campos (ICRA, 2012)

BRAND: A robust appearance and depth descriptor for RGB-D images. - Erickson R. Nascimento; Gabriel L. Oliveira; Mario Fernando Montenegro Campos; Antônio Wilson Vieira; William Robson Schwartz (IROS, 2012)

Appearance and Geometry Fusion for Enhanced Dense 3D Alignment. - Erickson R. Nascimento; William Robson Schwartz; Gabriel L. Oliveira; Antônio Wilson Vieira; Mario Fernando Montenegro Campos; Daniel Balbino de Mesquita (SIBGRAPI, 2012)

Um descritor robusto e eficiente de pontos de interesse: desenvolvimento e aplicações. - Erickson Rangel do Nascimento (2012)

Transmission Estimation in Underwater Single Images. - Paulo Drews Jr.; Erickson Rangel do Nascimento; F. Moraes; Silvia S. C. Botelho; Mario F. M. Campos (ICCV Workshops, 2013)

Visual and Inertial Data Fusion for Globally Consistent Point Cloud Registration. - Cláudio dos Santos Fernandes; Erickson Rangel do Nascimento; Mario Fernando Montenegro Campos (SIBGRAPI, 2013)

On the development of a robust, fast and lightweight keypoint descriptor. - Erickson Rangel do Nascimento; Gabriel L. Oliveira; Antônio Wilson Vieira; Mario Fernando Montenegro Campos (Neurocomputing, 2013)

Change detection based on features invariant to monotonic transforms and spatial constrained matching. - Marco Túlio Alves N. Rodrigues; Luciano O. Milen; Erickson R. Nascimento; William Robson Schwartz (ICASSP, 2014)

Generalized Optical Flow Model for Scattering Media. - Paulo Drews Jr.; Erickson R. Nascimento; Arthur Xavier; Mario Fernando Montenegro Campos (ICPR, 2014)

On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns. - Antônio Wilson Vieira; Erickson R. Nascimento; Gabriel L. Oliveira; Zicheng Liu 001; Mario Fernando Montenegro Campos (Pattern Recognit. Lett., 2014)

Sparse Spatial Coding: A Novel Approach to Visual Recognition. - Gabriel Leivas Oliveira; Erickson R. Nascimento; Antônio Wilson Vieira; Mario Fernando Montenegro Campos (IEEE Trans. Image Process., 2014)

A Non-parametric Approach to Detect Changes in Aerial Images. - Marco Túlio Alves N. Rodrigues; Daniel Balbino de Mesquita; Erickson Rangel do Nascimento; William Robson Schwartz (CIARP, 2015)

A Scale Invariant Keypoint Detector Based on Visual and Geometrical Cues. - Levi O. Vasconcelos; Erickson Rangel do Nascimento; Mario F. M. Campos (CIARP, 2015)

Automatic restoration of underwater monocular sequences of images. - Paulo Drews Jr.; Erickson R. Nascimento; Mario F. M. Campos; Alberto Elfes (IROS, 2015)

Terrain Classification from UAV Flights Using Monocular Vision. - Igor S. G. Campos; Erickson R. Nascimento; Luiz Chaimowicz (LARS/SBR, 2015)

Detecting Latent Variables of Interest in Geo-Localized Environments Using an Aerial Robot. - David Saldana; Ramon S. Melo; Erickson R. Nascimento; Mario F. M. Campos (LARS/SBR, 2015)

Socially Acceptable Robot Navigation in the Presence of Humans. - Phelipe A. A. Vasconcelos; Henrique N. S. Pereira; Douglas G. Macharet; Erickson R. Nascimento (LARS/SBR, 2015)

Simultaneously Estimation of Super-Resolution Images and Depth Maps from Low Resolution Sensors. - Daniel Balbino de Mesquita; Erickson Rangel do Nascimento; Mario F. M. Campos (SIBGRAPI, 2015)

Towards Semantic Fast-Forward and Stabilized Egocentric Videos. - Michel Melo Silva; Washington Luis Souza Ramos; João Pedro Klock Ferreira; Mario Fernando Montenegro Campos; Erickson Rangel do Nascimento (ECCV Workshops (1), 2016)

Fast-forward video based on semantic extraction. - Washington Luis Souza Ramos; Michel Melo Silva; Mario Fernando Montenegro Campos; Erickson Rangel do Nascimento (ICIP, 2016)

Real-time monocular obstacle avoidance using Underwater Dark Channel Prior. - Paulo Drews Jr.; Emili Hernández; Alberto Elfes; Erickson R. Nascimento; Mario Fernando Montenegro Campos (IROS, 2016)

Complexity-Aware Assignment of Latent Values in Discriminative Models for Accurate Gesture Recognition. - Manoel Horta Ribeiro; Bruno Teixeira; Antônio Otávio Fernandes; Wagner Meira Jr.; Erickson R. Nascimento (SIBGRAPI, 2016)

High performance moves recognition and sequence segmentation based on key poses filtering. - Claudio Marcio de Souza Vicente; Erickson R. Nascimento; Luiz Eduardo C. Emery; Cristiano Arruda G. Flor; Thales Vieira; Leonardo B. Oliveira (WACV, 2016)

Underwater Depth Estimation and Image Restoration Based on Single Images. - Paulo Drews Jr.; Erickson R. Nascimento; Silvia S. C. Botelho; Mario Fernando Montenegro Campos (IEEE Computer Graphics and Applications, 2016)

Change detection based on features invariant to monotonic transforms and spatially constrained matching. - Marco Túlio Alves N. Rodrigues; Daniel Balbino de Mesquita; Erickson R. Nascimento; William Robson Schwartz (J. Electronic Imaging, 2016)

A Height Estimation Approach for Terrain Following Flights from Monocular Vision. - Igor S. G. Campos; Erickson R. Nascimento; Gustavo Medeiros Freitas; Luiz Chaimowicz (Sensors, 2016)

A Robust Indoor Scene Recognition Method Based on Sparse Representation. - Guilherme Nascimento; Camila Laranjeira; Vinicius Braz; Anísio Lacerda; Erickson R. Nascimento (CIARP, 2017)

Making a long story short: A Multi-Importance Semantic for Fast-Forwarding Egocentric Videos. - Michel Melo Silva; Washington Luis Souza Ramos; Felipe Cadar Chamone; João Pedro Klock Ferreira; Mario Fernando Montenegro Campos; Erickson Rangel do Nascimento (CoRR, 2017)

Towards an efficient 3D model estimation methodology for aerial and ground images. - Guilherme A. Potje; Gabriel Resende; Mario F. M. Campos; Erickson R. Nascimento (Mach. Vis. Appl., 2017)

KVD: Scale invariant keypoints by combining visual and depth data. - Levi O. Vasconcelos; Erickson R. Nascimento; Mario F. M. Campos (Pattern Recognit. Lett., 2017)

Fast Forwarding Egocentric Videos by Listening and Watching. - Vinicius Signori Furlan; Ruzena Bajcsy; Erickson R. Nascimento (CVPR Workshops, 2018)

A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos. - Michel Melo Silva; Washington L. S. Ramos; João P. K. Ferreira; Felipe C. Chamone; Mario F. M. Campos; Erickson R. Nascimento (CVPR, 2018)

Visual-Quality-Driven Learning for Underwater Vision Enhancement. - Walysson V. Barbosa; Henrique G. B. Amaral; Thiago Lages Rocha; Erickson R. Nascimento (ICIP, 2018)

A Two-Step Learning Method for Detecting Landmarks on Faces from Different Domains. - Bruna Vieira Frade; Erickson R. Nascimento (ICIP, 2018)

Semantic Map Augmentation for Robot Navigation: A Learning Approach Based on Visual and Depth Data. - Dhiego Bersan; Renato Martins; Mario Fernando Montenegro Campos; Erickson R. Nascimento (LARS/SBR/WRE, 2018)

A 3D modeling methodology based on a concavity-aware geometric test to create 3D textured coarse models from concept art and orthographic projections. - Sergio N. Silva Junior; Felipe C. Chamone; Renato C. Ferreira; Erickson R. Nascimento (Comput. Graph., 2018)

Single-shot underwater image restoration: A visual quality-aware method based on light propagation model. - Wagner Barros; Erickson R. Nascimento; Walysson V. Barbosa; Mario F. M. Campos (J. Vis. Commun. Image Represent., 2018)

Making a long story short: A multi-importance fast-forwarding egocentric videos with the emphasis on relevant objects. - Michel Melo Silva; Washington L. S. Ramos; Felipe C. Chamone; João P. K. Ferreira; Mario F. M. Campos; Erickson R. Nascimento (J. Vis. Commun. Image Represent., 2018)

GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. - Erickson Rangel do Nascimento; Guilherme A. Potje; Renato Martins; Felipe C. Chamone; Mario F. M. Campos; Ruzena Bajcsy (ICCV, 2019)

On Modeling the Effects of Auditory Annoyance on Driving Style and Passenger Comfort. - Edson R. Araujo; Michal Gregor; Isabella Huang; Erickson R. Nascimento; Ruzena Bajcsy (IROS, 2019)

On Modeling Context from Objects with a Long Short-Term Memory for Indoor Scene Recognition. - Camila Laranjeira; Anísio Lacerda; Erickson R. Nascimento (SIBGRAPI, 2019)

Fast-Forward Methods for Egocentric Videos: A Review. - Michel Melo Silva; Washington L. S. Ramos; Alan C. Neves; Edson Roteia Araujo Junior; Mario Fernando Montenegro Campos; Erickson R. Nascimento (SIBGRAPI Tutorials, 2019)

Exploring the Limitations of the Convolutional Neural Networks on Binary Tests Selection for Local Features. - Bernardo Janko Gonçalves Biesseck; Edson Roteia Araujo Junior; Erickson R. Nascimento (VISIGRAPP (4: VISAPP), 2019)

Prototypicality Effects in Global Semantic Description of Objects. - Omar Vidal Pino; Erickson R. Nascimento; Mario F. M. Campos (WACV, 2019)

Cooperative digital magnetic-elevation maps by small autonomous aerial robots. - Héctor Azpúrua; Guilherme A. Potje; Paulo A. F. Rezeck; Gustavo Medeiros Freitas; Luis Guilherme Uzeda Garcia; Erickson R. Nascimento; Douglas G. Macharet; Mario F. M. Campos (J. Field Robotics, 2019)

On the Evaluation of Force Feedback Augmented Teleoperation of Excavator-like Mobile Manipulators. - Lucas Carvalho; Paulo A. F. Rezeck; Matheus V. Lima; Luan Pinto; Gustavo Medeiros Freitas; Erickson R. Nascimento; Douglas G. Macharet; Luiz Chaimowicz; Gustavo Pessin; Mario F. M. Campos (CASE, 2020)

Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data. - Washington L. S. Ramos; Michel Melo Silva; Edson R. Araujo; Leandro Soriano Marcolino; Erickson Rangel do Nascimento (CVPR, 2020)

Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints. - Thiago L. Gomes; Renato Martins; João P. K. Ferreira; Erickson R. Nascimento (WACV, 2020)

Personalizing Fast-Forward Videos Based on Visual and Textual Features from Social Network. - Washington L. S. Ramos; Michel Melo Silva; Edson R. Araujo; Alan C. Neves; Erickson R. Nascimento (WACV, 2020)

A gaze driven fast-forward method for first-person videos. - Alan Carvalho Neves; Michel Melo Silva; Mario Fernando Montenegro Campos; Erickson Rangel do Nascimento (CoRR, 2020)

Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues. - Renato Martins; Dhiego Bersan; Mario F. M. Campos; Erickson R. Nascimento (J. Intell. Robotic Syst., 2020)

Fully Convolutional Siamese Autoencoder for Change Detection in UAV Aerial Images. - Daniel Balbino de Mesquita; Ronaldo F. dos Santos; Douglas G. Macharet; Mario F. M. Campos; Erickson R. Nascimento (IEEE Geosci. Remote. Sens. Lett., 2020)

Anytime Fault-tolerant Adaptive Routing for Multi-Robot Teams. - Ronaldo F. dos Santos; Erickson R. Nascimento; Douglas G. Macharet (ICRA, 2021)

Extracting Deformation-Aware Local Features by Learning to Deform. - Guilherme A. Potje; Renato Martins; Felipe C. Chamone; Erickson R. Nascimento (NeurIPS, 2021)

Musical Hyperlapse: A Multimodal Approach to Accelerate First-Person Videos. - Diognei de Matos; Washington L. S. Ramos; Luiz Romanhol; Erickson R. Nascimento (SIBGRAPI, 2021)

Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio. - João Pedro Moreira Ferreira; Thiago M. Coutinho; Thiago L. Gomes; José F. Neto; Rafael Azevedo; Renato Martins; Erickson R. Nascimento (Comput. Graph., 2021)

On Development and Evaluation of Retargeting Human Motion and Appearance in Monocular Videos. - Thiago L. Gomes; Renato Martins; João Pedro Moreira Ferreira; Rafael Azevedo; Guilherme Torres; Erickson R. Nascimento (CoRR, 2021)

A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos. - Thiago L. Gomes; Renato Martins; João Pedro Moreira Ferreira; Rafael Azevedo; Guilherme Torres; Erickson R. Nascimento (Int. J. Comput. Vis., 2021)

Introducing the structural bases of typicality effects in deep learning. - Omar Vidal Pino; Erickson R. Nascimento; Mario F. M. Campos (Image Vis. Comput., 2021)

Towards automatic diagnosis of rheumatic heart disease on echocardiographic exams through video-based deep learning. - Joao Francisco B. S. Martins; Erickson R. Nascimento; Bruno Ramos Nascimento; Craig A. Sable; Andrea Z. Beaton; Antônio L. P. Ribeiro; Wagner Meira Jr.; Gisele L. Pappa (J. Am. Medical Informatics Assoc., 2021)

Towards Semi-autonomous Robotic Inspection and Mapping in Confined Spaces with the EspeleoRobô. - Héctor Azpúrua; Adriano M. C. Rezende; Guilherme A. Potje; Gilmar Pereira da Cruz Júnior; Rafael Fernandes; Victor R. F. Miranda; Levi Welington de Resende Filho; Jacó Domingues; Filipe Rocha; Frederico Luiz Martins de Sousa; Luiz Guilherme Dias de Barros; Erickson R. Nascimento; et al. (J. Intell. Robotic Syst., 2021)

A Sparse Sampling-Based Framework for Semantic Fast-Forward of First-Person Videos. - Michel Melo Silva; Washington L. S. Ramos; Mario F. M. Campos; Erickson R. Nascimento (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

On the Development of an Acoustic-Driven Method to Improve Driver's Comfort Based on Deep Reinforcement Learning. - Erickson R. Nascimento; Ruzena Bajcsy; Michal Gregor; Isabella Huang; Ismael Villegas; Gregorij Kurillo (IEEE Trans. Intell. Transp. Syst., 2021)

Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence. - Felipe Cadar; Guilherme A. Potje; Renato Martins; Cédric Demonceaux; Erickson R. Nascimento (ACCV (4), 2022)

Semantic Segmentation under Adverse Conditions: A Weather and Nighttime-aware Synthetic Data-based Approach. - Abdulrahman Kerim; Felipe C. Chamone; Washington L. S. Ramos; Leandro Soriano Marcolino; Erickson R. Nascimento; Richard Jiang 001 (BMVC, 2022)

An Action Recognition Approach with Context and Multiscale Motion Awareness. - Danilo Barros Cardoso; Luiza C. B. Campos; Erickson R. Nascimento (SIBGRAPI, 2022)

Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. - Welerson Melo; Guilherme A. Potje; Felipe Cadar; Renato Martins; Erickson R. Nascimento (SIBGRAPI, 2022)

Creating and Reenacting Controllable 3D Humans with Differentiable Rendering. - Thiago L. Gomes; Thiago M. Coutinho; Rafael Azevedo; Renato Martins; Erickson R. Nascimento (WACV, 2022)

Learning geodesic-aware local features from RGB-D images. - Guilherme A. Potje; Renato Martins; Felipe Cadar; Erickson R. Nascimento (Comput. Vis. Image Underst., 2022)

A reinforcement learning approach for single redundant view co-training text classification. - Bruno B. M. Paiva; Erickson R. Nascimento; Marcos André Gonçalves; Fabiano Belém (Inf. Sci., 2022)

Learning to Detect Changes in Aerial Images in the Presence of Registration Errors. - Daniel Balbino de Mesquita; Mario F. M. Campos; Erickson R. Nascimento (IEEE Geosci. Remote. Sens. Lett., 2022)

Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2023)

Text-Driven Video Acceleration: A Weakly-Supervised Reinforcement Learning Method. - Washington L. S. Ramos; Michel Melo Silva; Edson R. Araujo; Victor Moura; Keller Oliveira; Leandro Soriano Marcolino; Erickson R. Nascimento (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A multimodal hyperlapse method based on video and songs' emotion alignment. - Diognei de Matos; Washington L. S. Ramos; Michel Melo Silva; Luiz Romanhol; Erickson R. Nascimento (Pattern Recognit. Lett., 2023)

Improving the matching of deformable objects by learning to detect keypoints. - Felipe Cadar; Welerson Melo; Vaishnavi Kanagasabapathi; Guilherme A. Potje; Renato Martins; Erickson R. Nascimento (Pattern Recognit. Lett., 2023)

XFeat: Accelerated Features for Lightweight Image Matching. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2024)

Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions. - Abdulrahman Kerim; Washington L. S. Ramos; Leandro Soriano Marcolino; Erickson R. Nascimento; Richard Jiang 001 (WACV, 2024)

Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis. - Rafael Azevedo; Thiago M. Coutinho; João Pedro Moreira Ferreira; Thiago L. Gomes; Erickson R. Nascimento (Comput. Graph., 2024)

Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data. - Abdulrahman Kerim; Leandro Soriano Marcolino; Erickson R. Nascimento; Richard Jiang 001 (CoRR, 2024)