Cipolla, Roberto

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Badrinarayanan, V., Kendall, A., & Cipolla, R. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 19,631

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Kendall, A., Grimes, M., & Cipolla, R. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 2,489

Segmentation and Recognition Using Structure from Motion Point Clouds

Brostow, G. J., Shotton, J., Fauqueur, J., & Cipolla, R. (2008) · Lecture Notes in Computer Science

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 1,050

Geometric Loss Functions for Camera Pose Regression with Deep Learning

Kendall, A., & Cipolla, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 803

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Kendall, A., Badrinarayanan, V., & Cipolla, R. (2017) · Procedings of the British Machine Vision Conference 2017

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 784

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

Teichmann, M., Weber, M., Zollner, M., Cipolla, R., & Urtasun, R. (2018) · 2018 IEEE Intelligent Vehicles Symposium (IV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 681

Real-time visual tracking of complex structures

Drummond, T., & Cipolla, R. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 598

Modelling uncertainty in deep learning for camera relocalization

Kendall, A., & Cipolla, R. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 548

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Ioannou, Y., Robertson, D., Cipolla, R., & Criminisi, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 321

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Kendall, A., Badrinarayanan, V., & Cipolla, R. (2015) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 292

FIERY: Future Instance Prediction in Bird’s-Eye View from Surround Monocular Cameras

Hu, A., Murez, Z., Mohan, N., Dudas, S., Hawke, J., Badrinarayanan, V., Cipolla, R., & Kendall, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 277

Orthographic feature transform for monocular 3d object detection

Roddick, T., Kendall, A., & Cipolla, R. (2018) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 211

Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop

Biggs, B., Boyne, O., Charles, J., Fitzgibbon, A., & Cipolla, R. (2020) · Lecture Notes in Computer Science

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 107

Creatures Great and SMAL: Recovering the Shape and Motion of Animals from Video

Biggs, B., Roddick, T., Fitzgibbon, A., & Cipolla, R. (2019) · Lecture Notes in Computer Science

Human Pose and Action Recognition3D Shape Modeling and Analysis

Cited by 89