World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
100
Citations
70117
World Ranking
358
National Ranking
26

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to geometric models in computer vision and scene understanding
  • 2013 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2010 - Fellow of the Royal Academy of Engineering (UK)

Overview

Roberto Cipolla is affiliated with the University of Cambridge in the United Kingdom. Their research predominantly focuses on computer vision and engineering, with specific contributions in the fields of computer vision and pattern recognition, aerospace engineering, computational mechanics, computer graphics and computer-aided design, and artificial intelligence.

The scientist has worked extensively on topics including advanced vision and imaging, human pose and action recognition, robotics and sensor-based localization, 3D shape modeling and analysis, advanced image and video retrieval techniques, video surveillance and tracking methods, and computer graphics and visualization techniques.

Roberto Cipolla's recent scholarly output comprises a number of papers published in notable venues:

  • FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • DigiFace-1M: 1 Million Digital Face Images for Face Recognition, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The frequent co-authors collaborating with Roberto Cipolla include Ignas Budvytis, Gwangbin Bae, Fotios Logothetis, Akash Sengupta, and Stephan Liwicki.

In terms of publication venues, their work often appears in:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Robotics and Automation Letters

Roberto Cipolla has also contributed to book publications, including one published by Springer Science+Business Media titled "Image Analysis and Processing - ICIAP 2022" in 2022.

Recognition for their work includes the following awards:

  • Fellow of the International Association for Pattern Recognition (IAPR), 2020, for contributions to geometric models in computer vision and scene understanding
  • Distinguished Fellow of the British Machine Vision Association (BMVA), 2013
  • Fellow of the Royal Academy of Engineering (UK), 2010

Best Publications

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

    Vijay Badrinarayanan;Alex Kendall;Roberto Cipolla

  • KAAS: an automatic genome annotation and pathway reconstruction server

    Yuki Moriya;Masumi Itoh;Shujiro Okuda;Akiyasu C. Yoshizawa

  • Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

    Roberto Cipolla;Yarin Gal;Alex Kendall

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

    Alex Kendall;Matthew Grimes;Roberto Cipolla

  • Semantic object classes in video: A high-definition ground truth database

    Gabriel J. Brostow;Julien Fauqueur;Roberto Cipolla

  • Semantic texton forests for image categorization and segmentation

    J. Shotton;M. Johnson;R. Cipolla

  • Segmentation and Recognition Using Structure from Motion Point Clouds

    Gabriel J. Brostow;Jamie Shotton;Julien Fauqueur;Roberto Cipolla

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

    Vijay Badrinarayanan;Alex Kendall;Roberto Cipolla

  • Real-time visual tracking of complex structures

    T. Drummond;R. Cipolla

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

    Alex Kendall;Vijay Badrinarayanan;Roberto Cipolla

  • Geometric Loss Functions for Camera Pose Regression with Deep Learning

    Alex Kendall;Roberto Cipolla

  • SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling

    Vijay Badrinarayanan;Ankur Handa;Roberto Cipolla

  • MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

    Marvin Teichmann;Michael Weber;Marius Zollner;Roberto Cipolla

  • Multiscale Categorical Object Recognition Using Contour Fragments

    J. Shotton;A. Blake;R. Cipolla

  • Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations

    Tae-Kyun Kim;J. Kittler;R. Cipolla

  • Model-based hand tracking using a hierarchical Bayesian filter

    B. Stenger;A. Thayananthan;P.H.S. Torr;R. Cipolla

  • Feature-based human face detection

    Kin Choong Yow;Roberto Cipolla

  • Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency

    G. Vogiatzis;C. Hernandez;P.H.S. Torr;R. Cipolla

  • Unsupervised Bayesian Detection of Independent Motion in Crowds

    G.J. Brostow;R. Cipolla

  • Robust structure from motion using motion parallax

    R. Cipolla;Y. Okamoto;Y. Kuno

  • MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

    Marvin Teichmann;Michael Weber;Marius Zoellner;Roberto Cipolla

Frequent Co-Authors

Bjorn Stenger
Bjorn Stenger Rakuten (Japan)
Tae-Kyun Kim
Tae-Kyun Kim Korea Advanced Institute of Science and Technology
Ognjen Arandjelovic
Ognjen Arandjelovic University of St Andrews
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Tom Drummond
Tom Drummond Monash University
Andrew Blake
Andrew Blake University of Cambridge
Gabriel J. Brostow
Gabriel J. Brostow University College London
Jamie Shotton
Jamie Shotton Microsoft (United States)

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