Vitor Guizilini

121 papers A* 27A 5C 3Misc 7Journal 62Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DreamPlan: Efficient Reinforcement Fine-Tuning of Vision-Language Planners via Video World Models. CoRR Emily Yue-Ting Jia, Weiduo Yuan, Tianheng Shi, Vitor Guizilini, Jiageng Mao, Yue Wang
2026	J	`jnl`	Fiducial Exoskeletons: Image-Centric Robot State Estimation. CoRR Cameron Omid Smith, Basile Van Hoorick, Vitor Guizilini, Yue Wang
2026	J	`jnl`	Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models. CoRR Yanru Wu, Weiduo Yuan, Ang Qi, Vitor Guizilini, Jiageng Mao, Yue Wang
2025	J	`jnl`	AnchorDream: Repurposing Video Diffusion for Embodiment-Aware Robot Data Synthesis. CoRR Junjie Ye, Rong Xue, Basile Van Hoorick, Pavel Tokmakov, Muhammad Zubair Irshad, Yue Wang, Vitor Guizilini
2025	J	`jnl`	Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation. IEEE Access Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos
2025	J	`jnl`	Do You Know Where Your Camera Is? View-Invariant Policy Learning with Camera Conditioning. CoRR Tianchong Jiang, Jingtian Ji, Xiangshan Tan, Jiading Fang, Anand Bhattad, Vitor Guizilini, Matthew R. Walter
2025	—	`conf`	GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. 3DV Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus
2025	J	`jnl`	Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation. CoRR Zhenyu Zhao, Hongyi Jing, Xiawei Liu, Jiageng Mao, Abha Jha, Hanwen Yang, Rong Xue, Sergey Zakharor, Vitor Guizilini, Yue Wang
2025	—	`conf`	Incorporating Dense Metric Depth into Neural 3D Representations for View Synthesis and Relighting. 3DV Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson
2025	A*	`conf`	Learning Temporally Consistent Video Depth from Video Diffusion Priors. CVPR Jiahao Shao, Yuanbo Yang, Hongyu Zhou, Youmin Zhang, Yujun Shen, Vitor Guizilini, Yue Wang, Matteo Poggi, Yiyi Liao
2025	J	`jnl`	NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation. CoRR Yu Zeng, Charles Ochoa, Mingyuan Zhou, Vishal M. Patel, Vitor Guizilini, Rowan McAllister
2025	J	`jnl`	PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. CoRR Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Guizilini, Yue Wang
2025	J	`jnl`	Robot Learning from Any Images. CoRR Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas J. Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang
2025	J	`jnl`	Robot Learning from a Physical World Model. CoRR Jiageng Mao, Sicheng He, Hao-Ning Wu, Yang You, Shuyang Sun, Zhicheng Wang, Yanan Bao, Huizhong Chen, Leonidas J. Guibas, Vitor Guizilini, Howard Zhou, Yue Wang
2025	J	`jnl`	SIRE: SE(3) Intrinsic Rigidity Embeddings. CoRR Cameron Smith, Basile Van Hoorick, Vitor Guizilini, Yue Wang
2025	A	`conf`	Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. IROS Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani
2025	—	`conf`	Universal Humanoid Robot Pose Learning from Internet Human Videos. Humanoids Jiageng Mao, Siheng Zhao, Siqi Song, Chuye Hong, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang
2025	A*	`conf`	Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CVPR Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus
2025	J	`jnl`	Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion. CoRR Vitor Guizilini, Muhammad Zubair Irshad, Dian Chen, Greg Shakhnarovich, Rares Ambrus
2025	A*	`conf`	ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CVPR Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov
2025	J	`jnl`	ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping. CoRR Shun Iwase, Muhammad Zubair Irshad, Katherine Liu, Vitor Guizilini, Robert Lee, Takuya Ikeda, Ayako Amma, Koichi Nishiwaki, Kris Kitani, Rares Ambrus, Sergey Zakharov
2024	A*	`conf`	$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. NeurIPS Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	—	`conf`	A Multi-flash Stereo Camera for Photo-realistic Capture of Small Scenes. SIGGRAPH Asia Technical Communications Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa G. Narasimhan, Christopher G. Atkeson
2024	J	`jnl`	GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion. CoRR Vitor Guizilini, Pavel Tokmakov, Achal Dave, Rares Ambrus
2024	J	`jnl`	Incorporating dense metric depth into neural 3D representations for view synthesis and relighting. CoRR Arkadeep Narayan Chaudhury, Igor Vasiljevic, Sergey Zakharov, Vitor Guizilini, Rares Ambrus, Srinivasa Narasimhan, Christopher G. Atkeson
2024	J	`jnl`	Learning from Massive Human Videos for Universal Humanoid Pose Control. CoRR Jiageng Mao, Siheng Zhao, Siqi Song, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang
2024	J	`jnl`	NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	—	`conf`	NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. ECCV (88) Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	J	`jnl`	SE(3) Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation. CoRR Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
2024	A*	`conf`	Score Distillation via Reparametrized DDIM. NeurIPS Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan H. Greenewald, Vitor Guizilini, Timur M. Bagautdinov, Vincent Sitzmann, Justin M. Solomon
2024	J	`jnl`	Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry. CoRR Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Kazuhiro Shintani
2024	A*	`conf`	Towards Realistic Scene Generation with LiDAR Diffusion Models. CVPR Haoxi Ran, Vitor Guizilini, Yue Wang
2024	J	`jnl`	Towards Realistic Scene Generation with LiDAR Diffusion Models. CoRR Haoxi Ran, Vitor Guizilini, Yue Wang
2024	A	`conf`	Transcrib3D: 3D Referring Expression Resolution through Large Language Models. IROS Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
2024	J	`jnl`	Transcrib3D: 3D Referring Expression Resolution through Large Language Models. CoRR Jiading Fang, Xiangshan Tan, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Hongyuan Mei, Rares Ambrus, Gregory Shakhnarovich, Matthew R. Walter
2024	J	`jnl`	View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. CoRR Stephen Tian, Blake Wulfe, Kyle Sargent, Katherine Liu, Sergey Zakharov, Vitor Guizilini, Jiajun Wu
2024	J	`jnl`	Zero-Shot Multi-Object Shape Completion. CoRR Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2024	—	`conf`	Zero-Shot Multi-object Scene Completion. ECCV (3) Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2023	A*	`conf`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	J	`jnl`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	A*	`conf`	Depth Is All You Need for Monocular 3D Detection. ICRA Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2023	A*	`conf`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter
2023	A	`conf`	Robust Self-Supervised Extrinsic Self-Calibration. IROS Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
2023	J	`jnl`	Robust Self-Supervised Extrinsic Self-Calibration. CoRR Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
2023	A*	`conf`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	A*	`conf`	Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2022	—	`conf`	Depth Field Networks For Generalizable Multi-view Scene Representation. ECCV (32) Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
2022	J	`jnl`	Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
2022	J	`jnl`	Depth Is All You Need for Monocular 3D Detection. CoRR Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2022	J	`jnl`	Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
2022	J	`jnl`	Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics Autom. Lett. Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
2022	J	`jnl`	Learning Optical Flow, Depth, and Scene Flow without Real-World Labels. CoRR Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
2022	A*	`conf`	Multi-Frame Self-Supervised Depth with Transformers. CVPR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	J	`jnl`	Multi-Frame Self-Supervised Depth with Transformers. CoRR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	—	`conf`	Photo-realistic Neural Domain Randomization. ECCV (25) Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	J	`jnl`	Photo-realistic Neural Domain Randomization. CoRR Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	A*	`conf`	Self-Supervised Camera Self-Calibration from Video. ICRA Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
2022	—	`conf`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. ECCV (38) Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2022	J	`jnl`	SpOT: Spatiotemporal Modeling for 3D Object Tracking. CoRR Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas
2021	Misc	`conf`	DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRL Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
2021	J	`jnl`	DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries. CoRR Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon
2021	J	`jnl`	Full Surround Monodepth from Multiple Cameras. CoRR Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
2021	A*	`conf`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	J	`jnl`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	A*	`conf`	Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	J	`jnl`	Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	A*	`conf`	MarioNette: Self-Supervised Sprite Learning. NeurIPS Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon
2021	J	`jnl`	MarioNette: Self-Supervised Sprite Learning. CoRR Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
2021	—	`conf`	Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
2021	J	`jnl`	Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
2021	J	`jnl`	Self-Supervised Camera Self-Calibration from Video. CoRR Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
2021	Misc	`conf`	Single-Shot Scene Reconstruction. CoRL Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
2021	A*	`conf`	Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
2021	J	`jnl`	Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
2020	A*	`conf`	3D Packing for Self-Supervised Monocular Depth Estimation. CVPR Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon
2020	A*	`conf`	Neural Outlier Rejection for Self-Supervised Keypoint Learning. ICLR Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
2020	—	`conf`	Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
2020	J	`jnl`	Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
2020	A*	`conf`	Real-Time Panoptic Segmentation From Dense Detections. CVPR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2020	Misc	`conf`	Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. CoRL Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon
2020	A*	`conf`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2020	J	`jnl`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2019	—	`conf`	Analysis of nematodes in coffee crops at different altitudes using aerial images. EUSIPCO 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
2019	J	`jnl`	Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment. CoRR Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
2019	A*	`conf`	Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments. ICRA Vitor Guizilini, Ransalu Senanayake, Fabio Ramos
2019	J	`jnl`	Neural Outlier Rejection for Self-Supervised Keypoint Learning. CoRR Jiexiong Tang, Hanme Kim, Vitor Guizilini, Sudeep Pillai, Rares Ambrus
2019	J	`jnl`	PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Real-Time Panoptic Segmentation from Dense Detections. CoRR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2019	Misc	`conf`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	C	`conf`	Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images. ICVS Alexandre J. Oliveira, Gleice A. de Assis, Vitor Guizilini, Elaine R. Faria, Jefferson R. Souza
2019	J	`jnl`	Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. CoRR Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon
2019	—	`conf`	Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. ICAR Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.
2019	Misc	`conf`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Variational Hilbert regression for terrain modeling and trajectory optimization. Int. J. Robotics Res. Vitor Guizilini, Fabio Ramos
2018	—	`conf`	Effects of Emotion Grouping for Recognition in Human-Robot Interactions. BRACIS Daniel Tozadore, Caetano Mazzoni Ranieri, Guilherme Nardari, Vitor Guizilini, Roseli A. F. Romero
2018	Misc	`conf`	Fast 3D Modeling with Approximated Convolutional Kernels. CoRL Vitor Guizilini, Fabio Ramos
2018	A*	`conf`	Iterative Continuous Convolution for 3D Template Matching and Global Localization. AAAI Vitor Guizilini, Fabio Ramos
2018	A*	`conf`	Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2018	J	`jnl`	Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2018	J	`jnl`	Learning to reconstruct 3D structures for occupancy mapping from depth and color information. Int. J. Robotics Res. Vitor Guizilini, Fabio Ramos
2018	J	`jnl`	Sparse-to-Continuous: Enhancing Monocular Depth Estimation using Occupancy Maps. CoRR Nícolas dos Santos Rosa, Vitor Guizilini, Valdir Grassi Jr.
2018	J	`jnl`	Towards real-time 3D continuous occupancy mapping using Hilbert maps. Int. J. Robotics Res. Vitor Guizilini, Fabio Ramos
2018	Misc	`conf`	Unpaired Learning of Dense Visual Depth Estimators for Urban Environments. CoRL Vitor Guizilini, Fabio Ramos
2017	C	`conf`	Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
2017	J	`jnl`	Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
2017	—	`conf`	Embedded mosaic generation using aerial images. LARS/SBR Vitor Guizilini, Daniel Sales, Miguel Lahoud, Lúcio André de Castro Jorge
2017	—	`conf`	Learning to Reconstruct 3D Structures for Occupancy Mapping. Robotics: Science and Systems Vitor Guizilini, Fabio Ramos
2017	A	`conf`	Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system. IROS Roberto S. Inoue, Vitor Guizilini, Marco H. Terra, Fabio Ramos
2016	A	`conf`	Large-scale 3D scene reconstruction with Hilbert Maps. IROS Vitor Guizilini, Fabio Ramos
2016	—	`conf`	The Impact of DoS Attacks on the AR.Drone 2.0. LARS/SBR Gabriel Vasconcelos, Gabriel L. A. Carrijo, Rodrigo Sanches Miani, Jefferson R. Souza, Vitor Guizilini
2014	C	`conf`	Dense motion segmentation for first-person activity recognition. ICARCV Kai Zhan, Vitor Guizilini, Fabio Ramos
2013	A*	`conf`	Online self-supervised segmentation of dynamic objects. ICRA Vitor Guizilini, Fabio Ramos
2013	J	`jnl`	Semi-parametric learning for visual odometry. Int. J. Robotics Res. Vitor Guizilini, Fabio Ramos
2012	A*	`conf`	Semi-parametric models for visual odometry. ICRA Vitor Guizilini, Fabio Ramos
2011	A*	`conf`	Visual odometry learning for unmanned aerial vehicles. ICRA Vitor Guizilini, Fabio Ramos