Vitor Guizilini

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 81

Top Topics

Changing Environment

Depth Estimation

Scene Representation

Top Venues

Publications

Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR (2024)
Haoxi Ran, Vitor Guizilini, Yue Wang
Towards Realistic Scene Generation with LiDAR Diffusion Models. CoRR (2024)
Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
Zero-Shot Multi-Object Shape Completion. CoRR (2024)
Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR (2024)
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani
Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. CoRR (2024)
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
Robust Self-Supervised Extrinsic Self-Calibration. CoRR (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV (2023)
Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR (2023)
Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV (2023)
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
Robust Self-Supervised Extrinsic Self-Calibration. IROS (2023)
Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR (2023)
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
Depth Is All You Need for Monocular 3D Detection. ICRA (2023)
Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV (2023)
Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR (2023)
Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter
NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR (2023)
Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR (2023)
Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels. CoRR (2022)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. CoRR (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CoRR (2022)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. ICRA (2022)
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
Depth Is All You Need for Monocular 3D Detection. CoRR (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CVPR (2022)
Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. 7 (2) (2022)
Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR (2022)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Depth Field Networks For Generalizable Multi-view Scene Representation. ECCV (32) (2022)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. ECCV (25) (2022)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR (2022)
Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics Autom. Lett. 7 (2) (2022)
Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) (2022)
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft (2021)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV (2021)
Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRR (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR (2021)
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR (2021)
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV (2021)
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR (2021)
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon
MarioNette: Self-Supervised Sprite Learning. NeurIPS (2021)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. CoRR (2021)
Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
Full Surround Monodepth from Multiple Cameras. CoRR (2021)
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
MarioNette: Self-Supervised Sprite Learning. CoRR (2021)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR (2021)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR (2020)
Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR (2020)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR (2020)
Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. CoRL (2020)
Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
Neural Outlier Rejection for Self-Supervised Keypoint Learning. ICLR (2020)
Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
Real-Time Panoptic Segmentation From Dense Detections. CVPR (2020)
Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV (2020)
Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon
3D Packing for Self-Supervised Monocular Depth Estimation. CVPR (2020)
Alexandre J. Oliveira, Gleice A. de Assis, Vitor Guizilini, Elaine R. Faria, Jefferson R. Souza
Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images. ICVS (2019)
Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR (2019)
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
Analysis of nematodes in coffee crops at different altitudes using aerial images. EUSIPCO (2019)
Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. ICAR (2019)
Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR (2019)
Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
Neural Outlier Rejection for Self-Supervised Keypoint Learning. CoRR (2019)
Vitor Guizilini, Fabio Ramos
Variational Hilbert regression for terrain modeling and trajectory optimization. Int. J. Robotics Res. 38 (12-13) (2019)
Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR (2019)
Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. CoRR (2019)
Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL (2019)
Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL (2019)
Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. ICRA (2019)
Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. CoRR (2019)
Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
Real-Time Panoptic Segmentation from Dense Detections. CoRR (2019)
Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.
Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. CoRR (2018)
Vitor Guizilini, Fabio Ramos
Iterative Continuous Convolution for 3D Template Matching and Global Localization. AAAI (2018)
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA (2018)
Vitor Guizilini, Fabio Ramos
Learning to reconstruct 3D structures for occupancy mapping from depth and color information. Int. J. Robotics Res. 37 (13-14) (2018)
Vitor Guizilini, Fabio Ramos
Fast 3D Modeling with Approximated Convolutional Kernels. CoRL (2018)
Vitor Guizilini, Fabio Ramos
Towards real-time 3D continuous occupancy mapping using Hilbert maps. Int. J. Robotics Res. 37 (6) (2018)
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR (2018)
Daniel Tozadore, Caetano Mazzoni Ranieri, Guilherme Nardari, Vitor Guizilini, Roseli A. F. Romero
Effects of Emotion Grouping for Recognition in Human-Robot Interactions. BRACIS (2018)
Vitor Guizilini, Fabio Ramos
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments. CoRL (2018)
Vitor Guizilini, Fabio Ramos
Learning to Reconstruct 3D Structures for Occupancy Mapping. Robotics: Science and Systems (2017)
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR (2017)
Roberto S. Inoue, Vitor Guizilini, Marco H. Terra, Fabio Ramos
Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system. IROS (2017)
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR (2017)
Vitor Guizilini, Daniel Sales, Miguel Lahoud, Lucio Jorge
Embedded mosaic generation using aerial images. LARS/SBR (2017)
Vitor Guizilini, Fabio Ramos
Large-scale 3D scene reconstruction with Hilbert Maps. IROS (2016)
Gabriel Vasconcelos, Gabriel L. A. Carrijo, Rodrigo Sanches Miani, Jefferson R. Souza, Vitor Guizilini
The Impact of DoS Attacks on the AR.Drone 2.0. LARS/SBR (2016)
Kai Zhan, Vitor Guizilini, Fabio Ramos
Dense motion segmentation for first-person activity recognition. ICARCV (2014)
Vitor Guizilini, Fabio Ramos
Semi-parametric learning for visual odometry. Int. J. Robotics Res. 32 (5) (2013)
Vitor Guizilini, Fabio Ramos
Online self-supervised segmentation of dynamic objects. ICRA (2013)
Vitor Guizilini, Fabio Ramos
Semi-parametric models for visual odometry. ICRA (2012)
Vitor Guizilini, Fabio Ramos
Visual odometry learning for unmanned aerial vehicles. ICRA (2011)