Vitor Campagnolo Guizilini

According to our database, Vitor Campagnolo Guizilini authored at least 84 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion.

Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus

CoRR, 2024

View-Invariant Policy Learning via Zero-Shot Novel View Synthesis.

Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Guizilini, Jiajun Wu

CoRR, 2024

Incorporating dense metric depth into neural 3D representations for view synthesis and relighting.

Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson

CoRR, 2024

Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry.

Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani

CoRR, 2024

Score Distillation via Reparametrized DDIM.

Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Campagnolo Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin Solomon

CoRR, 2024

Transcrib3D: 3D Referring Expression Resolution through Large Language Models.

Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter

CoRR, 2024

Zero-Shot Multi-Object Shape Completion.

Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov

CoRR, 2024

A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes.

Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson

Proceedings of the SIGGRAPH Asia 2024 Technical Communications, 2024

Zero-Shot Multi-object Scene Completion.

Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov

Proceedings of the Computer Vision - ECCV 2024, 2024

NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields.

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Realistic Scene Generation with LiDAR Diffusion Models.

Haoxi Ran, Vitor Guizilini, Yue Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

NeRFuser: Large-Scale Scene Representation by NeRF Fusion.

Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter

CoRR, 2023

Robust Self-Supervised Extrinsic Self-Calibration.

Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus

IROS, 2023

Depth Is All You Need for Monocular 3D Detection.

Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes.

Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Zero-Shot Scale-Aware Monocular Depth Estimation.

Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Viewpoint Equivariance for Multi-View 3D Object Detection.

Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Full Surround Monodepth From Multiple Cameras.

Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon

IEEE Robotics Autom. Lett., 2022

Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels.

Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon

IEEE Robotics Autom. Lett., 2022

Depth Field Networks for Generalizable Multi-view Scene Representation.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon

CoRR, 2022

Self-Supervised Camera Self-Calibration from Video.

Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Photo-realistic Neural Domain Randomization.

Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

SpOT: Spatiotemporal Modeling for 3D Object Tracking.

Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2022, 2022

Depth Field Networks For Generalizable Multi-view Scene Representation.

Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Frame Self-Supervised Depth with Transformers.

Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Representation Learning for Object Detection from Unlabeled Point Cloud Sequences.

Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon

Proceedings of the Conference on Robot Learning, 2022

2021

Monocular Depth Estimation for Soft Visuotactile Sensors.

Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach

Proceedings of the 4th IEEE International Conference on Soft Robotics, 2021

MarioNette: Self-Supervised Sprite Learning.

Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Is Pseudo-Lidar needed for Monocular 3D Object detection?

Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Geometric Unsupervised Domain Adaptation for Semantic Segmentation.

Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion.

Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Single-Shot Scene Reconstruction.

Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries.

Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Application of U-Net and Auto-Encoder to the Road/Non-road Classification of Aerial Imagery in Urban Environments.

Amanda Spolti, Vitor Campanholo Guizilini, Caio C. T. Mendes, Matheus D. Croce, André R. de Geus, Henrique Candido de Oliveira, André R. Backes, Jefferson R. Souza

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Neural Outlier Rejection for Self-Supervised Keypoint Learning.

Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus

Proceedings of the 8th International Conference on Learning Representations, 2020

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth.

Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon

Proceedings of the 8th International Conference on Learning Representations, 2020

Real-Time Panoptic Segmentation From Dense Detections.

Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D Packing for Self-Supervised Monocular Depth Estimation.

Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation.

Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon

Proceedings of the 4th Conference on Robot Learning, 2020

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion.

Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Variational Hilbert regression for terrain modeling and trajectory optimization.

Vitor Guizilini, Fabio Ramos

Int. J. Robotics Res., 2019

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation.

Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon

CoRR, 2019

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment.

Vitor Guizilini, Ransalu Senanayake, Fabio Ramos

CoRR, 2019

PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation.

Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon

CoRR, 2019

UAV route planning for active disease classification.

Kelen Cristiane Teixeira Vivaldini, Thiago H. Martinelli, Vitor Campanholo Guizilini, Jefferson R. Souza, Matheus Della Croce Oliveira, Fabio T. Ramos, Denis F. Wolf

Auton. Robots, 2019

Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images.

Alexandre J. Oliveira, Gleice A. de Assis, Vitor Guizilini, Elaine R. Faria, Jefferson R. Souza

Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments.

Vitor Guizilini, Ransalu Senanayake, Fabio Ramos

Proceedings of the International Conference on Robotics and Automation, 2019

Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps.

Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.

Proceedings of the 19th International Conference on Advanced Robotics, 2019

Analysis of nematodes in coffee crops at different altitudes using aerial images.

Alexandre J. Oliveira, Gleice A. de Assis, Elaine R. Faria, Jefferson R. Souza, Kelen Cristiane Teixeira Vivaldini, Vitor Guizilini, Fabio Ramos, Caio César Teodoro Mendes, Denis F. Wolf

Proceedings of the 27th European Signal Processing Conference, 2019

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances.

Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Two Stream Networks for Self-Supervised Ego-Motion Estimation.

Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Failure Detection in Row Crops From UAV Images Using Morphological Operators.

Henrique Candido de Oliveira, Vitor Campanholo Guizilini, Israel P. Nunes, Jefferson R. Souza

IEEE Geosci. Remote. Sens. Lett., 2018

Learning to reconstruct 3D structures for occupancy mapping from depth and color information.

Vitor Guizilini, Fabio Ramos

Int. J. Robotics Res., 2018

Towards real-time 3D continuous occupancy mapping using Hilbert maps.

Vitor Guizilini, Fabio Ramos

Int. J. Robotics Res., 2018

Crop Anomaly Identification with Color Filters and Convolutional Neural Networks.

Guilherme V. Nardari, Roseli A. F. Romero, Vitor Campanholo Guizilini, Willy E. C. Mareco, Débora Marcondes Bastos Pereira Milori, Paulino Ribeiro Villas Boas, Igor Araujo Dias Santos

Proceedings of the Latin American Robotic Symposium, 2018

Learning to Race Through Coordinate Descent Bayesian Optimisation.

Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Unpaired Learning of Dense Visual Depth Estimators for Urban Environments.

Vitor Guizilini, Fabio Ramos

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Fast 3D Modeling with Approximated Convolutional Kernels.

Vitor Guizilini, Fabio Ramos

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Effects of Emotion Grouping for Recognition in Human-Robot Interactions.

Daniel Tozadore, Caetano Mazzoni Ranieri, Guilherme Nardari, Vitor Guizilini, Roseli A. F. Romero

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Iterative Continuous Convolution for 3D Template Matching and Global Localization.

Vitor Guizilini, Fabio Ramos

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learning to Reconstruct 3D Structures for Occupancy Mapping.

Vitor Guizilini, Fabio Ramos

Proceedings of the Robotics: Science and Systems XIII, 2017

Embedded mosaic generation using aerial images.

Vitor Guizilini, Daniel Sales, Miguel Lahoud, Lúcio André de Castro Jorge

Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Automatic detection of fruits in coffee crops from aerial images.

Gabriel L. A. Carrijo, Danilo E. Oliveira, Gleice A. de Assis, Murillo G. Carneiro, Vitor Campanholo Guizilini, Jefferson R. Souza

Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty.

Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Variational Hilbert Regression with Applications to Terrain Modeling.

Vitor Campanholo Guizilini, Fabio Tozeto Ramos

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system.

Roberto S. Inoue, Vitor Guizilini, Marco H. Terra, Fabio Ramos

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps.

Vitor Campanholo Guizilini, Fabio Tozeto Ramos

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The Impact of DoS Attacks on the AR.Drone 2.0.

Gabriel Vasconcelos, Gabriel L. A. Carrijo, Rodrigo Sanches Miani, Jefferson R. Souza, Vitor Guizilini

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016

Model Predictive Control of a Heavy-Duty Truck Based on Gaussian Process.

Fernando Henrique Morais Da Rocha, Valdir Grassi Jr., Vitor Campanholo Guizilini, Fabio Ramos

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016

Large-scale 3D scene reconstruction with Hilbert Maps.

Vitor Guizilini, Fabio Ramos

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Route planning for active classification with UAVs.

Kelen Cristiane Teixeira Vivaldini, Vitor Campanholo Guizilini, Matheus Della Croce Oliveira, Thiago H. Martinelli, Denis Fernando Wolf, Fabio Tozeto Ramos

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Online self-supervised learning for dynamic object segmentation.

Vitor Campanholo Guizilini, Fabio Ramos

Int. J. Robotics Res., 2015

Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images.

Jefferson R. Souza, Caio César Teodoro Mendes, Vitor Campanholo Guizilini, Kelen Cristiane Teixeira Vivaldini, Adimara Colturato, Fabio Tozeto Ramos, Denis Fernando Wolf

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A Nonparametric Online Model for Air Quality Prediction.

Vitor Campanholo Guizilini, Fabio Tozeto Ramos

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Non-Parametric Learning for Monocular Visual Odometry.

Vitor Campanholo Guizilini

PhD thesis, 2014

Online self-supervised multi-instance segmentation of dynamic objects.

Alex Bewley, Vitor Campanholo Guizilini, Fabio Tozeto Ramos, Ben Upcroft

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Dense motion segmentation for first-person activity recognition.

Kai Zhan, Vitor Guizilini, Fabio Ramos

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013

Semi-parametric learning for visual odometry.

Vitor Guizilini, Fabio Ramos

Int. J. Robotics Res., 2013

Online self-supervised segmentation of dynamic objects.

Vitor Guizilini, Fabio Ramos

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Semi-parametric models for visual odometry.

Vitor Guizilini, Fabio Ramos

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Visual odometry learning for unmanned aerial vehicles.

Vitor Guizilini, Fabio Ramos

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Multi-task Learning of Visual Odometry Estimators.

Vitor Campanholo Guizilini, Fabio Tozeto Ramos

Proceedings of the Experimental Robotics, 2010

2008

Solving the Online SLAM Problem with an Omnidirectional Vision System.

Vitor Campanholo Guizilini, Jun Okamoto

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008