Solving the Online SLAM Problem with an Omnidirectional Vision System. - Vitor Campanholo Guizilini; Jun Okamoto (ICONIP (1), 2008)

Multi-task Learning of Visual Odometry Estimators. - Vitor Campanholo Guizilini; Fabio Tozeto Ramos (ISER, 2010)

Visual odometry learning for unmanned aerial vehicles. - Vitor Guizilini; Fabio Ramos 001 (ICRA, 2011)

Semi-parametric models for visual odometry. - Vitor Guizilini; Fabio Ramos 001 (ICRA, 2012)

Online self-supervised segmentation of dynamic objects. - Vitor Guizilini; Fabio Ramos 001 (ICRA, 2013)

Semi-parametric learning for visual odometry. - Vitor Guizilini; Fabio Ramos 001 (Int. J. Robotics Res., 2013)

Dense motion segmentation for first-person activity recognition. - Kai Zhan; Vitor Guizilini; Fabio Ramos 001 (ICARCV, 2014)

Online self-supervised multi-instance segmentation of dynamic objects. - Alex Bewley; Vitor Campanholo Guizilini; Fabio Tozeto Ramos; Ben Upcroft (ICRA, 2014)

Non-Parametric Learning for Monocular Visual Odometry. - Vitor Campanholo Guizilini (2014)

A Nonparametric Online Model for Air Quality Prediction. - Vitor Campanholo Guizilini; Fabio Tozeto Ramos (AAAI, 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 (ICRA, 2015)

Online self-supervised learning for dynamic object segmentation. - Vitor Campanholo Guizilini; Fabio Ramos 001 (Int. J. Robotics Res., 2015)

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 (ICRA, 2016)

Large-scale 3D scene reconstruction with Hilbert Maps. - Vitor Guizilini; Fabio Ramos 001 (IROS, 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 001 (LARS/SBR, 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 (LARS/SBR, 2016)

Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps. - Vitor Campanholo Guizilini; Fabio Tozeto Ramos (AAAI, 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 001 (IROS, 2017)

Variational Hilbert Regression with Applications to Terrain Modeling. - Vitor Campanholo Guizilini; Fabio Tozeto Ramos (ISRR, 2017)

Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. - Rafael Oliveira 001; Lionel Ott; Vitor Guizilini; Fabio Ramos 001 (ISRR, 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 (LARS/SBR, 2017)

Embedded mosaic generation using aerial images. - Vitor Guizilini; Daniel Sales; Miguel Lahoud; Lúcio André de Castro Jorge (LARS/SBR, 2017)

Learning to Reconstruct 3D Structures for Occupancy Mapping. - Vitor Guizilini; Fabio Ramos 001 (Robotics: Science and Systems, 2017)

Iterative Continuous Convolution for 3D Template Matching and Global Localization. - Vitor Guizilini; Fabio Ramos 001 (AAAI, 2018)

Effects of Emotion Grouping for Recognition in Human-Robot Interactions. - Daniel Tozadore; Caetano Mazzoni Ranieri; Guilherme Nardari; Vitor Guizilini; Roseli A. F. Romero (BRACIS, 2018)

Fast 3D Modeling with Approximated Convolutional Kernels. - Vitor Guizilini; Fabio Ramos 001 (CoRL, 2018)

Unpaired Learning of Dense Visual Depth Estimators for Urban Environments. - Vitor Guizilini; Fabio Ramos 001 (CoRL, 2018)

Learning to Race Through Coordinate Descent Bayesian Optimisation. - Rafael Oliveira 001; Fernando H. M. Rocha; Lionel Ott; Vitor Guizilini; Fabio Ramos 001; Valdir Grassi Jr. (ICRA, 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 (LARS/SBR/WRE, 2018)

Towards real-time 3D continuous occupancy mapping using Hilbert maps. - Vitor Guizilini; Fabio Ramos 001 (Int. J. Robotics Res., 2018)

Learning to reconstruct 3D structures for occupancy mapping from depth and color information. - Vitor Guizilini; Fabio Ramos 001 (Int. J. Robotics Res., 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)

Two Stream Networks for Self-Supervised Ego-Motion Estimation. - Rares Ambrus; Vitor Guizilini; Jie Li 031; Sudeep Pillai; Adrien Gaidon (CoRL, 2019)

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. - Vitor Guizilini; Jie Li 031; Rares Ambrus; Sudeep Pillai; Adrien Gaidon (CoRL, 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 001; Caio César Teodoro Mendes; Denis F. Wolf (EUSIPCO, 2019)

Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. - Nícolas dos Santos Rosa; Vitor Guizilini; Valdir Grassi Jr. (ICAR, 2019)

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. - Vitor Guizilini; Ransalu Senanayake; Fabio Ramos 001 (ICRA, 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 (ICVS, 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 001; Denis F. Wolf (Auton. Robots, 2019)

PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. - Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Adrien Gaidon (CoRR, 2019)

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. - Vitor Guizilini; Ransalu Senanayake; Fabio Ramos 001 (CoRR, 2019)

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. - Jiexiong Tang; Rares Ambrus; Vitor Guizilini; Sudeep Pillai; Hanme Kim; Adrien Gaidon (CoRR, 2019)

Variational Hilbert regression for terrain modeling and trajectory optimization. - Vitor Guizilini; Fabio Ramos 001 (Int. J. Robotics Res., 2019)

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 (3DV, 2020)

Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. - Jiexiong Tang; Rares Ambrus; Vitor Guizilini; Sudeep Pillai; Hanme Kim; Patric Jensfelt; Adrien Gaidon (CoRL, 2020)

3D Packing for Self-Supervised Monocular Depth Estimation. - Vitor Guizilini; Rares Ambrus; Sudeep Pillai; Allan Raventos; Adrien Gaidon (CVPR, 2020)

Real-Time Panoptic Segmentation From Dense Detections. - Rui Hou 007; Jie Li 031; Arjun Bhargava; Allan Raventos; Vitor Guizilini; Chao Fang; Jerome P. Lynch; Adrien Gaidon (CVPR, 2020)

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. - Vitor Guizilini; Rui Hou 007; Jie Li 031; Rares Ambrus; Adrien Gaidon (ICLR, 2020)

Neural Outlier Rejection for Self-Supervised Keypoint Learning. - Jiexiong Tang; Hanme Kim; Vitor Guizilini; Sudeep Pillai; Rares Ambrus (ICLR, 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 (VISIGRAPP (4: VISAPP), 2020)

DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. - Yue Wang 041; Vitor Guizilini; Tianyuan Zhang 002; Yilun Wang; Hang Zhao; Justin Solomon 001 (CoRL, 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 001; Adrien Gaidon (CoRL, 2021)

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. - Vitor Guizilini; Rares Ambrus; Wolfram Burgard; Adrien Gaidon (CVPR, 2021)

Geometric Unsupervised Domain Adaptation for Semantic Segmentation. - Vitor Guizilini; Jie Li 031; Rares Ambrus; Adrien Gaidon (ICCV, 2021)

Is Pseudo-Lidar needed for Monocular 3D Object detection? - Dennis Park; Rares Ambrus; Vitor Guizilini; Jie Li 031; Adrien Gaidon (ICCV, 2021)

MarioNette: Self-Supervised Sprite Learning. - Dmitriy Smirnov 001; Michaël Gharbi; Matthew Fisher; Vitor Guizilini; Alexei A. Efros; Justin M. Solomon (NeurIPS, 2021)

Monocular Depth Estimation for Soft Visuotactile Sensors. - Rares Ambrus; Vitor Guizilini; Naveen Kuppuswamy; Andrew Beaulieu; Adrien Gaidon; Alex Alspach (RoboSoft, 2021)

Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. - Xiangru Huang; Yue Wang 041; Vitor Campanholo Guizilini; Rares Andrei Ambrus; Adrien Gaidon; Justin M. Solomon (CoRL, 2022)

Multi-Frame Self-Supervised Depth with Transformers. - Vitor Guizilini; Rares Ambrus; Dian Chen 005; Sergey Zakharov; Adrien Gaidon (CVPR, 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 (ECCV (32), 2022)

SpOT: Spatiotemporal Modeling for 3D Object Tracking. - Colton Stearns; Davis Rempe; Jie Li 031; Rares Ambrus; Sergey Zakharov; Vitor Guizilini; Yanchao Yang 001; Leonidas J. Guibas (ECCV (38), 2022)

Photo-realistic Neural Domain Randomization. - Sergey Zakharov; Rares Ambrus; Vitor Guizilini; Wadim Kehl; Adrien Gaidon (ECCV (25), 2022)

Self-Supervised Camera Self-Calibration from Video. - Jiading Fang; Igor Vasiljevic; Vitor Guizilini; Rares Ambrus; Greg Shakhnarovich; Adrien Gaidon; Matthew R. Walter (ICRA, 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)

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)

Full Surround Monodepth From Multiple Cameras. - Vitor Guizilini; Igor Vasiljevic; Rares Ambrus; Greg Shakhnarovich; Adrien Gaidon (IEEE Robotics Autom. Lett., 2022)

Viewpoint Equivariance for Multi-View 3D Object Detection. - Dian Chen 005; Jie Li 031; Vitor Guizilini; Rares Ambrus; Adrien Gaidon (CVPR, 2023)

Towards Zero-Shot Scale-Aware Monocular Depth Estimation. - Vitor Guizilini; Igor Vasiljevic; Dian Chen 005; Rares Ambrus; Adrien Gaidon (ICCV, 2023)

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. - Vitor Guizilini; Igor Vasiljevic; Jiading Fang; Rares Ambrus; Sergey Zakharov; Vincent Sitzmann; Adrien Gaidon (ICCV, 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 (ICCV, 2023)

Depth Is All You Need for Monocular 3D Detection. - Dennis Park; Jie Li 031; Dian Chen 005; Vitor Guizilini; Adrien Gaidon (ICRA, 2023)

Robust Self-Supervised Extrinsic Self-Calibration. - Takayuki Kanai; Igor Vasiljevic; Vitor Guizilini; Adrien Gaidon; Rares Ambrus (IROS, 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)

View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. - Stephen Tian; Blake Wulfe; Kyle Sargent; Katherine Liu; Sergey Zakharov; Vitor Campagnolo Guizilini; Jiajun Wu 001 (CoRL, 2024)

Towards Realistic Scene Generation with LiDAR Diffusion Models. - Haoxi Ran; Vitor Guizilini; Yue Wang 041 (CVPR, 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 (ECCV (88), 2024)

Zero-Shot Multi-object Scene Completion. - Shun Iwase; Katherine Liu; Vitor Guizilini; Adrien Gaidon; Kris Kitani; Rares Ambrus; Sergey Zakharov (ECCV (3), 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 (IROS, 2024)

Score Distillation via Reparametrized DDIM. - Artem Lukoianov; Haitz Sáez de Ocáriz Borde; Kristjan H. Greenewald; Vitor Guizilini; Timur M. Bagautdinov; Vincent Sitzmann; Justin M. Solomon (NeurIPS, 2024)

$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. - Yinshuang Xu; Dian Chen 005; Katherine Liu; Sergey Zakharov; Rares Ambrus; Kostas Daniilidis; Vitor Guizilini (NeurIPS, 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 (SIGGRAPH Asia Technical Communications, 2024)

Zero-Shot Multi-Object Shape Completion. - Shun Iwase; Katherine Liu; Vitor Guizilini; Adrien Gaidon; Kris Kitani; Rares Ambrus; Sergey Zakharov (CoRR, 2024)

Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. - Takayuki Kanai; Igor Vasiljevic; Vitor Guizilini; Kazuhiro Shintani (CoRR, 2024)

Learning from Massive Human Videos for Universal Humanoid Pose Control. - Jiageng Mao; Siheng Zhao; Siqi Song; Tianheng Shi; Junjie Ye; Mingtong Zhang; Haoran Geng; Jitendra Malik; Vitor Guizilini; Yue Wang 041 (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 (3DV, 2025)

GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. - Vitor Guizilini; Pavel Tokmakov; Achal Dave; Rares Ambrus (3DV, 2025)

Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. - Vitor Guizilini; Muhammad Zubair Irshad; Dian Chen 005; Greg Shakhnarovich; Rares Ambrus (CVPR, 2025)

ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. - Shun Iwase; Muhammad Zubair Irshad; Katherine Liu; Vitor Guizilini; Robert Lee; Takuya Ikeda; Ayako Amma; Koichi Nishiwaki; Kris Kitani; Rares Ambrus; Sergey Zakharov (CVPR, 2025)

Learning Temporally Consistent Video Depth from Video Diffusion Priors. - Jiahao Shao; Yuanbo Yang; Hongyu Zhou; Youmin Zhang 008; Yujun Shen; Vitor Guizilini; Yue Wang 041; Matteo Poggi; Yiyi Liao (CVPR, 2025)

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. - Wei Chow; Jiageng Mao; Boyi Li; Daniel Seita; Vitor Campagnolo Guizilini; Yue Wang 041 (ICLR, 2025)

Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation. - Kenny A. Q. Caldas; Roberto S. Inoue; Marco H. Terra; Vitor Guizilini; Fabio Ramos 001 (IEEE Access, 2025)

SIRE: SE(3) Intrinsic Rigidity Embeddings. - Cameron Smith; Basile Van Hoorick; Vitor Guizilini; Yue Wang 041 (CoRR, 2025)

FastMap: Revisiting Dense and Scalable Structure from Motion. - Jiahao Li; Haochen Wang; Muhammad Zubair Irshad; Igor Vasiljevic; Matthew R. Walter; Vitor Campagnolo Guizilini; Greg Shakhnarovich (CoRR, 2025)

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting. - Shengjie Lin; Jiading Fang; Muhammad Zubair Irshad; Vitor Campagnolo Guizilini; Rares Andrei Ambrus; Greg Shakhnarovich; Matthew R. Walter (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)